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whisper : support speaker segmentation (local diarization) of mono audio via tinydiarize (#1058)
* add HuggingFace mirror to download ggml model * support tdrz via simple hack overriding solm tokens * fix incorrect translate/transcribe token_ids that are not static const * add apollo 13 sample for tdrz demo * render [SPEAKER TURN] consistently in all terminal output using vocab.id_to_token * extend whisper_segment with speaker_turn_next field and save in json output * fix failing go build * slipped in some python syntax whoops * whisper : finalize tinydiarize support (add flag + fixes) * whisper : tdrz support for word-level timestamps (respect max_len) * java : try to fix tests after adding tdrz_enable flag * main : remove TODO leftover * java : fix params order list after adding "tdrz_enable" * whisper : fix solm and add nosp token * main : print tinydiarize help --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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4
Makefile
4
Makefile
@ -308,12 +308,16 @@ samples:
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@wget --quiet --show-progress -O samples/gb1.ogg https://upload.wikimedia.org/wikipedia/commons/1/1f/George_W_Bush_Columbia_FINAL.ogg
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@wget --quiet --show-progress -O samples/gb1.ogg https://upload.wikimedia.org/wikipedia/commons/1/1f/George_W_Bush_Columbia_FINAL.ogg
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@wget --quiet --show-progress -O samples/hp0.ogg https://upload.wikimedia.org/wikipedia/en/d/d4/En.henryfphillips.ogg
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@wget --quiet --show-progress -O samples/hp0.ogg https://upload.wikimedia.org/wikipedia/en/d/d4/En.henryfphillips.ogg
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@wget --quiet --show-progress -O samples/mm1.wav https://cdn.openai.com/whisper/draft-20220913a/micro-machines.wav
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@wget --quiet --show-progress -O samples/mm1.wav https://cdn.openai.com/whisper/draft-20220913a/micro-machines.wav
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@wget --quiet --show-progress -O samples/a13.mp3 https://upload.wikimedia.org/wikipedia/commons/transcoded/6/6f/Apollo13-wehaveaproblem.ogg/Apollo13-wehaveaproblem.ogg.mp3
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@echo "Converting to 16-bit WAV ..."
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@echo "Converting to 16-bit WAV ..."
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@ffmpeg -loglevel -0 -y -i samples/gb0.ogg -ar 16000 -ac 1 -c:a pcm_s16le samples/gb0.wav
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@ffmpeg -loglevel -0 -y -i samples/gb0.ogg -ar 16000 -ac 1 -c:a pcm_s16le samples/gb0.wav
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@ffmpeg -loglevel -0 -y -i samples/gb1.ogg -ar 16000 -ac 1 -c:a pcm_s16le samples/gb1.wav
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@ffmpeg -loglevel -0 -y -i samples/gb1.ogg -ar 16000 -ac 1 -c:a pcm_s16le samples/gb1.wav
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@ffmpeg -loglevel -0 -y -i samples/hp0.ogg -ar 16000 -ac 1 -c:a pcm_s16le samples/hp0.wav
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@ffmpeg -loglevel -0 -y -i samples/hp0.ogg -ar 16000 -ac 1 -c:a pcm_s16le samples/hp0.wav
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@rm samples/*.ogg
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@ffmpeg -loglevel -0 -y -i samples/mm1.wav -ar 16000 -ac 1 -c:a pcm_s16le samples/mm0.wav
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@ffmpeg -loglevel -0 -y -i samples/mm1.wav -ar 16000 -ac 1 -c:a pcm_s16le samples/mm0.wav
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@rm samples/mm1.wav
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@rm samples/mm1.wav
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@ffmpeg -loglevel -0 -y -i samples/a13.mp3 -ar 16000 -ac 1 -c:a pcm_s16le -ss 00:00:00 -to 00:00:30 samples/a13.wav
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@rm samples/a13.mp3
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#
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#
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# Models
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# Models
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@ -270,13 +270,13 @@ func (ctx *Context) Whisper_token_lang(lang_id int) Token {
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}
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}
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// Task tokens
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// Task tokens
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func Whisper_token_translate() Token {
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func (ctx *Context) Whisper_token_translate() Token {
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return Token(C.whisper_token_translate())
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return Token(C.whisper_token_translate((*C.struct_whisper_context)(ctx)))
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}
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}
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// Task tokens
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// Task tokens
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func Whisper_token_transcribe() Token {
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func (ctx *Context) Whisper_token_transcribe() Token {
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return Token(C.whisper_token_transcribe())
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return Token(C.whisper_token_transcribe((*C.struct_whisper_context)(ctx)))
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}
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}
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// Performance information
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// Performance information
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@ -224,8 +224,8 @@ public interface WhisperCppJnaLibrary extends Library {
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int whisper_token_lang(Pointer ctx, int lang_id);
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int whisper_token_lang(Pointer ctx, int lang_id);
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// Task tokens
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// Task tokens
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int whisper_token_translate();
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int whisper_token_translate (Pointer ctx);
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int whisper_token_transcribe();
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int whisper_token_transcribe(Pointer ctx);
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// Performance information from the default state.
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// Performance information from the default state.
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void whisper_print_timings(Pointer ctx);
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void whisper_print_timings(Pointer ctx);
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@ -137,6 +137,14 @@ public class WhisperFullParams extends Structure {
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/** Overwrite the audio context size (0 = use default). */
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/** Overwrite the audio context size (0 = use default). */
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public int audio_ctx;
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public int audio_ctx;
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/** Enable tinydiarize (default = false) */
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public CBool tdrz_enable;
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/** Enable tinydiarize (default = false) */
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public void tdrzEnable(boolean enable) {
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tdrz_enable = enable ? CBool.TRUE : CBool.FALSE;
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}
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/** Tokens to provide to the whisper decoder as an initial prompt.
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/** Tokens to provide to the whisper decoder as an initial prompt.
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* These are prepended to any existing text context from a previous call. */
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* These are prepended to any existing text context from a previous call. */
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public String initial_prompt;
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public String initial_prompt;
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@ -302,7 +310,7 @@ public class WhisperFullParams extends Structure {
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"no_context", "single_segment",
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"no_context", "single_segment",
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"print_special", "print_progress", "print_realtime", "print_timestamps", "token_timestamps",
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"print_special", "print_progress", "print_realtime", "print_timestamps", "token_timestamps",
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"thold_pt", "thold_ptsum", "max_len", "split_on_word", "max_tokens", "speed_up", "audio_ctx",
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"thold_pt", "thold_ptsum", "max_len", "split_on_word", "max_tokens", "speed_up", "audio_ctx",
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"initial_prompt", "prompt_tokens", "prompt_n_tokens", "language", "detect_language",
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"tdrz_enable", "initial_prompt", "prompt_tokens", "prompt_n_tokens", "language", "detect_language",
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"suppress_blank", "suppress_non_speech_tokens", "temperature", "max_initial_ts", "length_penalty",
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"suppress_blank", "suppress_non_speech_tokens", "temperature", "max_initial_ts", "length_penalty",
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"temperature_inc", "entropy_thold", "logprob_thold", "no_speech_thold", "greedy", "beam_search",
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"temperature_inc", "entropy_thold", "logprob_thold", "no_speech_thold", "greedy", "beam_search",
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"new_segment_callback", "new_segment_callback_user_data",
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"new_segment_callback", "new_segment_callback_user_data",
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@ -68,28 +68,32 @@ struct whisper_params {
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float entropy_thold = 2.40f;
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float entropy_thold = 2.40f;
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float logprob_thold = -1.00f;
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float logprob_thold = -1.00f;
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bool speed_up = false;
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bool speed_up = false;
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bool translate = false;
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bool translate = false;
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bool detect_language= false;
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bool detect_language = false;
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bool diarize = false;
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bool diarize = false;
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bool split_on_word = false;
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bool tinydiarize = false;
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bool no_fallback = false;
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bool split_on_word = false;
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bool output_txt = false;
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bool no_fallback = false;
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bool output_vtt = false;
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bool output_txt = false;
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bool output_srt = false;
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bool output_vtt = false;
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bool output_wts = false;
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bool output_srt = false;
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bool output_csv = false;
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bool output_wts = false;
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bool output_jsn = false;
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bool output_csv = false;
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bool output_lrc = false;
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bool output_jsn = false;
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bool print_special = false;
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bool output_lrc = false;
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bool print_colors = false;
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bool print_special = false;
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bool print_progress = false;
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bool print_colors = false;
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bool no_timestamps = false;
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bool print_progress = false;
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bool no_timestamps = false;
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std::string language = "en";
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std::string language = "en";
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std::string prompt;
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std::string prompt;
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std::string font_path = "/System/Library/Fonts/Supplemental/Courier New Bold.ttf";
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std::string font_path = "/System/Library/Fonts/Supplemental/Courier New Bold.ttf";
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std::string model = "models/ggml-base.en.bin";
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std::string model = "models/ggml-base.en.bin";
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// [TDRZ] speaker turn string
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std::string tdrz_speaker_turn = " [SPEAKER_TURN]"; // TODO: set from command line
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std::vector<std::string> fname_inp = {};
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std::vector<std::string> fname_inp = {};
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std::vector<std::string> fname_out = {};
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std::vector<std::string> fname_out = {};
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@ -115,41 +119,42 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
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whisper_print_usage(argc, argv, params);
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whisper_print_usage(argc, argv, params);
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exit(0);
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exit(0);
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}
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}
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else if (arg == "-t" || arg == "--threads") { params.n_threads = std::stoi(argv[++i]); }
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else if (arg == "-t" || arg == "--threads") { params.n_threads = std::stoi(argv[++i]); }
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else if (arg == "-p" || arg == "--processors") { params.n_processors = std::stoi(argv[++i]); }
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else if (arg == "-p" || arg == "--processors") { params.n_processors = std::stoi(argv[++i]); }
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else if (arg == "-ot" || arg == "--offset-t") { params.offset_t_ms = std::stoi(argv[++i]); }
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else if (arg == "-ot" || arg == "--offset-t") { params.offset_t_ms = std::stoi(argv[++i]); }
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else if (arg == "-on" || arg == "--offset-n") { params.offset_n = std::stoi(argv[++i]); }
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else if (arg == "-on" || arg == "--offset-n") { params.offset_n = std::stoi(argv[++i]); }
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else if (arg == "-d" || arg == "--duration") { params.duration_ms = std::stoi(argv[++i]); }
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else if (arg == "-d" || arg == "--duration") { params.duration_ms = std::stoi(argv[++i]); }
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else if (arg == "-mc" || arg == "--max-context") { params.max_context = std::stoi(argv[++i]); }
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else if (arg == "-mc" || arg == "--max-context") { params.max_context = std::stoi(argv[++i]); }
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else if (arg == "-ml" || arg == "--max-len") { params.max_len = std::stoi(argv[++i]); }
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else if (arg == "-ml" || arg == "--max-len") { params.max_len = std::stoi(argv[++i]); }
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else if (arg == "-bo" || arg == "--best-of") { params.best_of = std::stoi(argv[++i]); }
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else if (arg == "-bo" || arg == "--best-of") { params.best_of = std::stoi(argv[++i]); }
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else if (arg == "-bs" || arg == "--beam-size") { params.beam_size = std::stoi(argv[++i]); }
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else if (arg == "-bs" || arg == "--beam-size") { params.beam_size = std::stoi(argv[++i]); }
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else if (arg == "-wt" || arg == "--word-thold") { params.word_thold = std::stof(argv[++i]); }
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else if (arg == "-wt" || arg == "--word-thold") { params.word_thold = std::stof(argv[++i]); }
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else if (arg == "-et" || arg == "--entropy-thold") { params.entropy_thold = std::stof(argv[++i]); }
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else if (arg == "-et" || arg == "--entropy-thold") { params.entropy_thold = std::stof(argv[++i]); }
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else if (arg == "-lpt" || arg == "--logprob-thold") { params.logprob_thold = std::stof(argv[++i]); }
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else if (arg == "-lpt" || arg == "--logprob-thold") { params.logprob_thold = std::stof(argv[++i]); }
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else if (arg == "-su" || arg == "--speed-up") { params.speed_up = true; }
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else if (arg == "-su" || arg == "--speed-up") { params.speed_up = true; }
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else if (arg == "-tr" || arg == "--translate") { params.translate = true; }
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else if (arg == "-tr" || arg == "--translate") { params.translate = true; }
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else if (arg == "-di" || arg == "--diarize") { params.diarize = true; }
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else if (arg == "-di" || arg == "--diarize") { params.diarize = true; }
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else if (arg == "-sow" || arg == "--split-on-word") { params.split_on_word = true; }
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else if (arg == "-tdrz" || arg == "--tinydiarize") { params.tinydiarize = true; }
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else if (arg == "-nf" || arg == "--no-fallback") { params.no_fallback = true; }
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else if (arg == "-sow" || arg == "--split-on-word") { params.split_on_word = true; }
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else if (arg == "-otxt" || arg == "--output-txt") { params.output_txt = true; }
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else if (arg == "-nf" || arg == "--no-fallback") { params.no_fallback = true; }
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else if (arg == "-ovtt" || arg == "--output-vtt") { params.output_vtt = true; }
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else if (arg == "-otxt" || arg == "--output-txt") { params.output_txt = true; }
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else if (arg == "-osrt" || arg == "--output-srt") { params.output_srt = true; }
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else if (arg == "-ovtt" || arg == "--output-vtt") { params.output_vtt = true; }
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else if (arg == "-owts" || arg == "--output-words") { params.output_wts = true; }
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else if (arg == "-osrt" || arg == "--output-srt") { params.output_srt = true; }
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else if (arg == "-olrc" || arg == "--output-lrc") { params.output_lrc = true; }
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else if (arg == "-owts" || arg == "--output-words") { params.output_wts = true; }
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else if (arg == "-fp" || arg == "--font-path") { params.font_path = argv[++i]; }
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else if (arg == "-olrc" || arg == "--output-lrc") { params.output_lrc = true; }
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else if (arg == "-ocsv" || arg == "--output-csv") { params.output_csv = true; }
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else if (arg == "-fp" || arg == "--font-path") { params.font_path = argv[++i]; }
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else if (arg == "-oj" || arg == "--output-json") { params.output_jsn = true; }
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else if (arg == "-ocsv" || arg == "--output-csv") { params.output_csv = true; }
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else if (arg == "-of" || arg == "--output-file") { params.fname_out.emplace_back(argv[++i]); }
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else if (arg == "-oj" || arg == "--output-json") { params.output_jsn = true; }
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else if (arg == "-ps" || arg == "--print-special") { params.print_special = true; }
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else if (arg == "-of" || arg == "--output-file") { params.fname_out.emplace_back(argv[++i]); }
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else if (arg == "-pc" || arg == "--print-colors") { params.print_colors = true; }
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else if (arg == "-ps" || arg == "--print-special") { params.print_special = true; }
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else if (arg == "-pp" || arg == "--print-progress") { params.print_progress = true; }
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else if (arg == "-pc" || arg == "--print-colors") { params.print_colors = true; }
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else if (arg == "-nt" || arg == "--no-timestamps") { params.no_timestamps = true; }
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else if (arg == "-pp" || arg == "--print-progress") { params.print_progress = true; }
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else if (arg == "-l" || arg == "--language") { params.language = argv[++i]; }
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else if (arg == "-nt" || arg == "--no-timestamps") { params.no_timestamps = true; }
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else if (arg == "-dl" || arg == "--detect-language"){ params.detect_language= true; }
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else if (arg == "-l" || arg == "--language") { params.language = argv[++i]; }
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else if ( arg == "--prompt") { params.prompt = argv[++i]; }
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else if (arg == "-dl" || arg == "--detect-language") { params.detect_language = true; }
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else if (arg == "-m" || arg == "--model") { params.model = argv[++i]; }
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else if ( arg == "--prompt") { params.prompt = argv[++i]; }
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else if (arg == "-f" || arg == "--file") { params.fname_inp.emplace_back(argv[++i]); }
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else if (arg == "-m" || arg == "--model") { params.model = argv[++i]; }
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else if (arg == "-f" || arg == "--file") { params.fname_inp.emplace_back(argv[++i]); }
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else {
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else {
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fprintf(stderr, "error: unknown argument: %s\n", arg.c_str());
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fprintf(stderr, "error: unknown argument: %s\n", arg.c_str());
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whisper_print_usage(argc, argv, params);
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whisper_print_usage(argc, argv, params);
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@ -182,6 +187,7 @@ void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & para
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fprintf(stderr, " -su, --speed-up [%-7s] speed up audio by x2 (reduced accuracy)\n", params.speed_up ? "true" : "false");
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fprintf(stderr, " -su, --speed-up [%-7s] speed up audio by x2 (reduced accuracy)\n", params.speed_up ? "true" : "false");
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fprintf(stderr, " -tr, --translate [%-7s] translate from source language to english\n", params.translate ? "true" : "false");
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fprintf(stderr, " -tr, --translate [%-7s] translate from source language to english\n", params.translate ? "true" : "false");
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fprintf(stderr, " -di, --diarize [%-7s] stereo audio diarization\n", params.diarize ? "true" : "false");
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fprintf(stderr, " -di, --diarize [%-7s] stereo audio diarization\n", params.diarize ? "true" : "false");
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fprintf(stderr, " -tdrz, --tinydiarize [%-7s] enable tinydiarize (requires a tdrz model)\n", params.tinydiarize ? "true" : "false");
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fprintf(stderr, " -nf, --no-fallback [%-7s] do not use temperature fallback while decoding\n", params.no_fallback ? "true" : "false");
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fprintf(stderr, " -nf, --no-fallback [%-7s] do not use temperature fallback while decoding\n", params.no_fallback ? "true" : "false");
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fprintf(stderr, " -otxt, --output-txt [%-7s] output result in a text file\n", params.output_txt ? "true" : "false");
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fprintf(stderr, " -otxt, --output-txt [%-7s] output result in a text file\n", params.output_txt ? "true" : "false");
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fprintf(stderr, " -ovtt, --output-vtt [%-7s] output result in a vtt file\n", params.output_vtt ? "true" : "false");
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fprintf(stderr, " -ovtt, --output-vtt [%-7s] output result in a vtt file\n", params.output_vtt ? "true" : "false");
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@ -297,6 +303,12 @@ void whisper_print_segment_callback(struct whisper_context * ctx, struct whisper
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printf("%s%s", speaker.c_str(), text);
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printf("%s%s", speaker.c_str(), text);
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}
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}
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if (params.tinydiarize) {
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if (whisper_full_get_segment_speaker_turn_next(ctx, i)) {
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printf("%s", params.tdrz_speaker_turn.c_str());
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}
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}
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// with timestamps or speakers: each segment on new line
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// with timestamps or speakers: each segment on new line
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if (!params.no_timestamps || params.diarize) {
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if (!params.no_timestamps || params.diarize) {
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printf("\n");
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printf("\n");
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@ -564,6 +576,7 @@ bool output_json(struct whisper_context * ctx, const char * fname, const whisper
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const int n_segments = whisper_full_n_segments(ctx);
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const int n_segments = whisper_full_n_segments(ctx);
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for (int i = 0; i < n_segments; ++i) {
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for (int i = 0; i < n_segments; ++i) {
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const char * text = whisper_full_get_segment_text(ctx, i);
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const char * text = whisper_full_get_segment_text(ctx, i);
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const int64_t t0 = whisper_full_get_segment_t0(ctx, i);
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const int64_t t0 = whisper_full_get_segment_t0(ctx, i);
|
||||||
const int64_t t1 = whisper_full_get_segment_t1(ctx, i);
|
const int64_t t1 = whisper_full_get_segment_t1(ctx, i);
|
||||||
|
|
||||||
@ -576,11 +589,15 @@ bool output_json(struct whisper_context * ctx, const char * fname, const whisper
|
|||||||
value_i("from", t0 * 10, false);
|
value_i("from", t0 * 10, false);
|
||||||
value_i("to", t1 * 10, true);
|
value_i("to", t1 * 10, true);
|
||||||
end_obj(false);
|
end_obj(false);
|
||||||
value_s("text", text, !params.diarize);
|
value_s("text", text, !params.diarize && !params.tinydiarize);
|
||||||
|
|
||||||
if (params.diarize && pcmf32s.size() == 2) {
|
if (params.diarize && pcmf32s.size() == 2) {
|
||||||
value_s("speaker", estimate_diarization_speaker(pcmf32s, t0, t1, true).c_str(), true);
|
value_s("speaker", estimate_diarization_speaker(pcmf32s, t0, t1, true).c_str(), true);
|
||||||
}
|
}
|
||||||
|
|
||||||
|
if (params.tinydiarize) {
|
||||||
|
value_b("speaker_turn_next", whisper_full_get_segment_speaker_turn_next(ctx, i), true);
|
||||||
|
}
|
||||||
end_obj(i == (n_segments - 1));
|
end_obj(i == (n_segments - 1));
|
||||||
}
|
}
|
||||||
|
|
||||||
@ -777,6 +794,12 @@ int main(int argc, char ** argv) {
|
|||||||
exit(0);
|
exit(0);
|
||||||
}
|
}
|
||||||
|
|
||||||
|
if (params.diarize && params.tinydiarize) {
|
||||||
|
fprintf(stderr, "error: cannot use both --diarize and --tinydiarize\n");
|
||||||
|
whisper_print_usage(argc, argv, params);
|
||||||
|
exit(0);
|
||||||
|
}
|
||||||
|
|
||||||
// whisper init
|
// whisper init
|
||||||
|
|
||||||
struct whisper_context * ctx = whisper_init_from_file(params.model.c_str());
|
struct whisper_context * ctx = whisper_init_from_file(params.model.c_str());
|
||||||
@ -818,11 +841,12 @@ int main(int argc, char ** argv) {
|
|||||||
if (params.detect_language) {
|
if (params.detect_language) {
|
||||||
params.language = "auto";
|
params.language = "auto";
|
||||||
}
|
}
|
||||||
fprintf(stderr, "%s: processing '%s' (%d samples, %.1f sec), %d threads, %d processors, lang = %s, task = %s, timestamps = %d ...\n",
|
fprintf(stderr, "%s: processing '%s' (%d samples, %.1f sec), %d threads, %d processors, lang = %s, task = %s, %stimestamps = %d ...\n",
|
||||||
__func__, fname_inp.c_str(), int(pcmf32.size()), float(pcmf32.size())/WHISPER_SAMPLE_RATE,
|
__func__, fname_inp.c_str(), int(pcmf32.size()), float(pcmf32.size())/WHISPER_SAMPLE_RATE,
|
||||||
params.n_threads, params.n_processors,
|
params.n_threads, params.n_processors,
|
||||||
params.language.c_str(),
|
params.language.c_str(),
|
||||||
params.translate ? "translate" : "transcribe",
|
params.translate ? "translate" : "transcribe",
|
||||||
|
params.tinydiarize ? "tdrz = 1, " : "",
|
||||||
params.no_timestamps ? 0 : 1);
|
params.no_timestamps ? 0 : 1);
|
||||||
|
|
||||||
fprintf(stderr, "\n");
|
fprintf(stderr, "\n");
|
||||||
@ -853,6 +877,8 @@ int main(int argc, char ** argv) {
|
|||||||
|
|
||||||
wparams.speed_up = params.speed_up;
|
wparams.speed_up = params.speed_up;
|
||||||
|
|
||||||
|
wparams.tdrz_enable = params.tinydiarize; // [TDRZ]
|
||||||
|
|
||||||
wparams.initial_prompt = params.prompt.c_str();
|
wparams.initial_prompt = params.prompt.c_str();
|
||||||
|
|
||||||
wparams.greedy.best_of = params.best_of;
|
wparams.greedy.best_of = params.best_of;
|
||||||
|
@ -22,7 +22,7 @@ function get_script_path() {
|
|||||||
models_path="$(get_script_path)"
|
models_path="$(get_script_path)"
|
||||||
|
|
||||||
# Whisper models
|
# Whisper models
|
||||||
models=( "tiny.en" "tiny" "base.en" "base" "small.en" "small" "medium.en" "medium" "large-v1" "large" )
|
models=( "tiny.en" "tiny" "base.en" "base" "small.en" "small.en-tdrz" "small" "medium.en" "medium" "large-v1" "large" )
|
||||||
|
|
||||||
# list available models
|
# list available models
|
||||||
function list_models {
|
function list_models {
|
||||||
@ -50,6 +50,12 @@ if [[ ! " ${models[@]} " =~ " ${model} " ]]; then
|
|||||||
exit 1
|
exit 1
|
||||||
fi
|
fi
|
||||||
|
|
||||||
|
# check if model contains `tdrz` and update the src and pfx accordingly
|
||||||
|
if [[ $model == *"tdrz"* ]]; then
|
||||||
|
src="https://huggingface.co/akashmjn/tinydiarize-whisper.cpp"
|
||||||
|
pfx="resolve/main/ggml"
|
||||||
|
fi
|
||||||
|
|
||||||
# download ggml model
|
# download ggml model
|
||||||
|
|
||||||
printf "Downloading ggml model $model from '$src' ...\n"
|
printf "Downloading ggml model $model from '$src' ...\n"
|
||||||
|
154
whisper.cpp
154
whisper.cpp
@ -380,16 +380,18 @@ struct whisper_vocab {
|
|||||||
std::map<token, id> token_to_id;
|
std::map<token, id> token_to_id;
|
||||||
std::map<id, token> id_to_token;
|
std::map<id, token> id_to_token;
|
||||||
|
|
||||||
id token_eot = 50256;
|
// reference: https://github.com/openai/whisper/blob/248b6cb124225dd263bb9bd32d060b6517e067f8/whisper/tokenizer.py#L334-L349
|
||||||
id token_sot = 50257;
|
id token_eot = 50256;
|
||||||
id token_prev = 50360;
|
id token_sot = 50257;
|
||||||
id token_solm = 50361; // ??
|
// task tokens (used only for multilingual models)
|
||||||
id token_not = 50362; // no timestamps
|
id token_translate = 50357;
|
||||||
id token_beg = 50363;
|
id token_transcribe = 50358;
|
||||||
|
// other special tokens
|
||||||
// available tasks
|
id token_solm = 50359; // [TDRZ] used by tinydiarize models to indicate speaker turn
|
||||||
static const id token_translate = 50358;
|
id token_prev = 50360;
|
||||||
static const id token_transcribe = 50359;
|
id token_nosp = 50361;
|
||||||
|
id token_not = 50362; // no timestamps
|
||||||
|
id token_beg = 50363; // begin timestamps
|
||||||
|
|
||||||
bool is_multilingual() const {
|
bool is_multilingual() const {
|
||||||
return n_vocab == 51865;
|
return n_vocab == 51865;
|
||||||
@ -403,6 +405,8 @@ struct whisper_segment {
|
|||||||
std::string text;
|
std::string text;
|
||||||
|
|
||||||
std::vector<whisper_token_data> tokens;
|
std::vector<whisper_token_data> tokens;
|
||||||
|
|
||||||
|
bool speaker_turn_next;
|
||||||
};
|
};
|
||||||
|
|
||||||
// medium
|
// medium
|
||||||
@ -966,8 +970,11 @@ static bool whisper_model_load(struct whisper_model_loader * loader, whisper_con
|
|||||||
if (vocab.is_multilingual()) {
|
if (vocab.is_multilingual()) {
|
||||||
vocab.token_eot++;
|
vocab.token_eot++;
|
||||||
vocab.token_sot++;
|
vocab.token_sot++;
|
||||||
vocab.token_prev++;
|
vocab.token_translate++;
|
||||||
|
vocab.token_transcribe++;
|
||||||
vocab.token_solm++;
|
vocab.token_solm++;
|
||||||
|
vocab.token_prev++;
|
||||||
|
vocab.token_nosp++;
|
||||||
vocab.token_not++;
|
vocab.token_not++;
|
||||||
vocab.token_beg++;
|
vocab.token_beg++;
|
||||||
}
|
}
|
||||||
@ -981,8 +988,12 @@ static bool whisper_model_load(struct whisper_model_loader * loader, whisper_con
|
|||||||
word = "[_EOT_]";
|
word = "[_EOT_]";
|
||||||
} else if (i == vocab.token_sot) {
|
} else if (i == vocab.token_sot) {
|
||||||
word = "[_SOT_]";
|
word = "[_SOT_]";
|
||||||
|
} else if (i == vocab.token_solm) {
|
||||||
|
word = "[_SOLM_]";
|
||||||
} else if (i == vocab.token_prev) {
|
} else if (i == vocab.token_prev) {
|
||||||
word = "[_PREV_]";
|
word = "[_PREV_]";
|
||||||
|
} else if (i == vocab.token_nosp) {
|
||||||
|
word = "[_NOSP_]";
|
||||||
} else if (i == vocab.token_not) {
|
} else if (i == vocab.token_not) {
|
||||||
word = "[_NOT_]";
|
word = "[_NOT_]";
|
||||||
} else if (i == vocab.token_beg) {
|
} else if (i == vocab.token_beg) {
|
||||||
@ -3208,12 +3219,16 @@ whisper_token whisper_token_sot(struct whisper_context * ctx) {
|
|||||||
return ctx->vocab.token_sot;
|
return ctx->vocab.token_sot;
|
||||||
}
|
}
|
||||||
|
|
||||||
|
whisper_token whisper_token_solm(struct whisper_context * ctx) {
|
||||||
|
return ctx->vocab.token_solm;
|
||||||
|
}
|
||||||
|
|
||||||
whisper_token whisper_token_prev(struct whisper_context * ctx) {
|
whisper_token whisper_token_prev(struct whisper_context * ctx) {
|
||||||
return ctx->vocab.token_prev;
|
return ctx->vocab.token_prev;
|
||||||
}
|
}
|
||||||
|
|
||||||
whisper_token whisper_token_solm(struct whisper_context * ctx) {
|
whisper_token whisper_token_nosp(struct whisper_context * ctx) {
|
||||||
return ctx->vocab.token_solm;
|
return ctx->vocab.token_nosp;
|
||||||
}
|
}
|
||||||
|
|
||||||
whisper_token whisper_token_not(struct whisper_context * ctx) {
|
whisper_token whisper_token_not(struct whisper_context * ctx) {
|
||||||
@ -3228,12 +3243,12 @@ whisper_token whisper_token_lang(struct whisper_context * ctx, int lang_id) {
|
|||||||
return whisper_token_sot(ctx) + 1 + lang_id;
|
return whisper_token_sot(ctx) + 1 + lang_id;
|
||||||
}
|
}
|
||||||
|
|
||||||
whisper_token whisper_token_translate(void) {
|
whisper_token whisper_token_translate(struct whisper_context * ctx) {
|
||||||
return whisper_vocab::token_translate;
|
return ctx->vocab.token_translate;
|
||||||
}
|
}
|
||||||
|
|
||||||
whisper_token whisper_token_transcribe(void) {
|
whisper_token whisper_token_transcribe(struct whisper_context * ctx) {
|
||||||
return whisper_vocab::token_transcribe;
|
return ctx->vocab.token_transcribe;
|
||||||
}
|
}
|
||||||
|
|
||||||
void whisper_print_timings(struct whisper_context * ctx) {
|
void whisper_print_timings(struct whisper_context * ctx) {
|
||||||
@ -3305,51 +3320,53 @@ struct whisper_full_params * whisper_full_default_params_by_ref(enum whisper_sam
|
|||||||
|
|
||||||
struct whisper_full_params whisper_full_default_params(enum whisper_sampling_strategy strategy) {
|
struct whisper_full_params whisper_full_default_params(enum whisper_sampling_strategy strategy) {
|
||||||
struct whisper_full_params result = {
|
struct whisper_full_params result = {
|
||||||
/*.strategy =*/ strategy,
|
/*.strategy =*/ strategy,
|
||||||
|
|
||||||
/*.n_threads =*/ std::min(4, (int32_t) std::thread::hardware_concurrency()),
|
/*.n_threads =*/ std::min(4, (int32_t) std::thread::hardware_concurrency()),
|
||||||
/*.n_max_text_ctx =*/ 16384,
|
/*.n_max_text_ctx =*/ 16384,
|
||||||
/*.offset_ms =*/ 0,
|
/*.offset_ms =*/ 0,
|
||||||
/*.duration_ms =*/ 0,
|
/*.duration_ms =*/ 0,
|
||||||
|
|
||||||
/*.translate =*/ false,
|
/*.translate =*/ false,
|
||||||
/*.no_context =*/ true,
|
/*.no_context =*/ true,
|
||||||
/*.single_segment =*/ false,
|
/*.single_segment =*/ false,
|
||||||
/*.print_special =*/ false,
|
/*.print_special =*/ false,
|
||||||
/*.print_progress =*/ true,
|
/*.print_progress =*/ true,
|
||||||
/*.print_realtime =*/ false,
|
/*.print_realtime =*/ false,
|
||||||
/*.print_timestamps =*/ true,
|
/*.print_timestamps =*/ true,
|
||||||
|
|
||||||
/*.token_timestamps =*/ false,
|
/*.token_timestamps =*/ false,
|
||||||
/*.thold_pt =*/ 0.01f,
|
/*.thold_pt =*/ 0.01f,
|
||||||
/*.thold_ptsum =*/ 0.01f,
|
/*.thold_ptsum =*/ 0.01f,
|
||||||
/*.max_len =*/ 0,
|
/*.max_len =*/ 0,
|
||||||
/*.split_on_word =*/ false,
|
/*.split_on_word =*/ false,
|
||||||
/*.max_tokens =*/ 0,
|
/*.max_tokens =*/ 0,
|
||||||
|
|
||||||
/*.speed_up =*/ false,
|
/*.speed_up =*/ false,
|
||||||
/*.audio_ctx =*/ 0,
|
/*.audio_ctx =*/ 0,
|
||||||
|
|
||||||
/*.initial_prompt =*/ nullptr,
|
/*.tdrz_enable =*/ false,
|
||||||
/*.prompt_tokens =*/ nullptr,
|
|
||||||
/*.prompt_n_tokens =*/ 0,
|
|
||||||
|
|
||||||
/*.language =*/ "en",
|
/*.initial_prompt =*/ nullptr,
|
||||||
/*.detect_language =*/ false,
|
/*.prompt_tokens =*/ nullptr,
|
||||||
|
/*.prompt_n_tokens =*/ 0,
|
||||||
|
|
||||||
/*.suppress_blank =*/ true,
|
/*.language =*/ "en",
|
||||||
|
/*.detect_language =*/ false,
|
||||||
|
|
||||||
|
/*.suppress_blank =*/ true,
|
||||||
/*.suppress_non_speech_tokens =*/ false,
|
/*.suppress_non_speech_tokens =*/ false,
|
||||||
|
|
||||||
/*.temperature =*/ 0.0f,
|
/*.temperature =*/ 0.0f,
|
||||||
/*.max_initial_ts =*/ 1.0f,
|
/*.max_initial_ts =*/ 1.0f,
|
||||||
/*.length_penalty =*/ -1.0f,
|
/*.length_penalty =*/ -1.0f,
|
||||||
|
|
||||||
/*.temperature_inc =*/ 0.4f,
|
/*.temperature_inc =*/ 0.4f,
|
||||||
/*.entropy_thold =*/ 2.4f,
|
/*.entropy_thold =*/ 2.4f,
|
||||||
/*.logprob_thold =*/ -1.0f,
|
/*.logprob_thold =*/ -1.0f,
|
||||||
/*.no_speech_thold =*/ 0.6f,
|
/*.no_speech_thold =*/ 0.6f,
|
||||||
|
|
||||||
/*.greedy =*/ {
|
/*.greedy =*/ {
|
||||||
/*.best_of =*/ -1,
|
/*.best_of =*/ -1,
|
||||||
},
|
},
|
||||||
|
|
||||||
@ -3430,6 +3447,7 @@ static int whisper_wrap_segment(struct whisper_context & ctx, struct whisper_sta
|
|||||||
state.result_all.back().text = std::move(text);
|
state.result_all.back().text = std::move(text);
|
||||||
state.result_all.back().t1 = token.t0;
|
state.result_all.back().t1 = token.t0;
|
||||||
state.result_all.back().tokens.resize(i);
|
state.result_all.back().tokens.resize(i);
|
||||||
|
state.result_all.back().speaker_turn_next = false;
|
||||||
|
|
||||||
state.result_all.push_back({});
|
state.result_all.push_back({});
|
||||||
state.result_all.back().t0 = token.t0;
|
state.result_all.back().t0 = token.t0;
|
||||||
@ -3441,6 +3459,8 @@ static int whisper_wrap_segment(struct whisper_context & ctx, struct whisper_sta
|
|||||||
segment.tokens.begin() + i,
|
segment.tokens.begin() + i,
|
||||||
segment.tokens.end());
|
segment.tokens.end());
|
||||||
|
|
||||||
|
state.result_all.back().speaker_turn_next = segment.speaker_turn_next;
|
||||||
|
|
||||||
acc = 0;
|
acc = 0;
|
||||||
text = "";
|
text = "";
|
||||||
|
|
||||||
@ -3519,9 +3539,14 @@ static void whisper_process_logits(
|
|||||||
// ref: https://github.com/openai/whisper/blob/0b1ba3d46ebf7fe6f953acfd8cad62a4f851b49f/whisper/decoding.py#L410-L412
|
// ref: https://github.com/openai/whisper/blob/0b1ba3d46ebf7fe6f953acfd8cad62a4f851b49f/whisper/decoding.py#L410-L412
|
||||||
logits[vocab.token_not] = -INFINITY;
|
logits[vocab.token_not] = -INFINITY;
|
||||||
|
|
||||||
// suppress sot and solm tokens
|
// suppress sot and nosp tokens
|
||||||
logits[vocab.token_sot] = -INFINITY;
|
logits[vocab.token_sot] = -INFINITY;
|
||||||
logits[vocab.token_solm] = -INFINITY;
|
logits[vocab.token_nosp] = -INFINITY; // TODO: ignore this token for now
|
||||||
|
|
||||||
|
// [TDRZ] when tinydiarize is disabled, suppress solm token
|
||||||
|
if (params.tdrz_enable == false) {
|
||||||
|
logits[vocab.token_solm] = -INFINITY;
|
||||||
|
}
|
||||||
|
|
||||||
// suppress task tokens
|
// suppress task tokens
|
||||||
logits[vocab.token_translate] = -INFINITY;
|
logits[vocab.token_translate] = -INFINITY;
|
||||||
@ -4018,9 +4043,9 @@ int whisper_full_with_state(
|
|||||||
state->lang_id = lang_id;
|
state->lang_id = lang_id;
|
||||||
prompt_init.push_back(whisper_token_lang(ctx, lang_id));
|
prompt_init.push_back(whisper_token_lang(ctx, lang_id));
|
||||||
if (params.translate) {
|
if (params.translate) {
|
||||||
prompt_init.push_back(whisper_token_translate());
|
prompt_init.push_back(whisper_token_translate(ctx));
|
||||||
} else {
|
} else {
|
||||||
prompt_init.push_back(whisper_token_transcribe());
|
prompt_init.push_back(whisper_token_transcribe(ctx));
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
@ -4500,23 +4525,27 @@ int whisper_full_with_state(
|
|||||||
prompt_past.push_back(tokens_cur[i].id);
|
prompt_past.push_back(tokens_cur[i].id);
|
||||||
}
|
}
|
||||||
|
|
||||||
// store the text from this iteration
|
|
||||||
if (!tokens_cur.empty() && ctx->model.n_loaded > 0) {
|
if (!tokens_cur.empty() && ctx->model.n_loaded > 0) {
|
||||||
int i0 = 0;
|
int i0 = 0;
|
||||||
auto t0 = seek + 2*(tokens_cur.front().tid - whisper_token_beg(ctx));
|
auto t0 = seek + 2*(tokens_cur.front().tid - whisper_token_beg(ctx));
|
||||||
|
|
||||||
std::string text;
|
std::string text;
|
||||||
|
bool speaker_turn_next = false;
|
||||||
|
|
||||||
for (int i = 0; i < (int) tokens_cur.size(); i++) {
|
for (int i = 0; i < (int) tokens_cur.size(); i++) {
|
||||||
//printf("%s: %18s %6.3f %18s %6.3f\n", __func__,
|
//printf("%s: %18s %6.3f %18s %6.3f\n", __func__,
|
||||||
// ctx->vocab.id_to_token[tokens_cur[i].id].c_str(), tokens_cur[i].p,
|
// ctx->vocab.id_to_token[tokens_cur[i].id].c_str(), tokens_cur[i].p,
|
||||||
// ctx->vocab.id_to_token[tokens_cur[i].tid].c_str(), tokens_cur[i].pt);
|
// ctx->vocab.id_to_token[tokens_cur[i].tid].c_str(), tokens_cur[i].pt);
|
||||||
|
|
||||||
if (params.print_special == false && tokens_cur[i].id >= whisper_token_eot(ctx)) {
|
if (params.print_special || tokens_cur[i].id < whisper_token_eot(ctx)) {
|
||||||
} else {
|
|
||||||
text += whisper_token_to_str(ctx, tokens_cur[i].id);
|
text += whisper_token_to_str(ctx, tokens_cur[i].id);
|
||||||
}
|
}
|
||||||
|
|
||||||
|
// [TDRZ] record if speaker turn was predicted after current segment
|
||||||
|
if (params.tdrz_enable && tokens_cur[i].id == whisper_token_solm(ctx)) {
|
||||||
|
speaker_turn_next = true;
|
||||||
|
}
|
||||||
|
|
||||||
if (tokens_cur[i].id > whisper_token_beg(ctx) && !params.single_segment) {
|
if (tokens_cur[i].id > whisper_token_beg(ctx) && !params.single_segment) {
|
||||||
const auto t1 = seek + 2*(tokens_cur[i].tid - whisper_token_beg(ctx));
|
const auto t1 = seek + 2*(tokens_cur[i].tid - whisper_token_beg(ctx));
|
||||||
|
|
||||||
@ -4535,7 +4564,7 @@ int whisper_full_with_state(
|
|||||||
|
|
||||||
//printf("tt0 = %d, tt1 = %d, text = %s, token = %s, token_id = %d, tid = %d\n", tt0, tt1, text.c_str(), ctx->vocab.id_to_token[tokens_cur[i].id].c_str(), tokens_cur[i].id, tokens_cur[i].tid);
|
//printf("tt0 = %d, tt1 = %d, text = %s, token = %s, token_id = %d, tid = %d\n", tt0, tt1, text.c_str(), ctx->vocab.id_to_token[tokens_cur[i].id].c_str(), tokens_cur[i].id, tokens_cur[i].tid);
|
||||||
|
|
||||||
result_all.push_back({ tt0, tt1, text, {} });
|
result_all.push_back({ tt0, tt1, text, {}, speaker_turn_next });
|
||||||
for (int j = i0; j <= i; j++) {
|
for (int j = i0; j <= i; j++) {
|
||||||
result_all.back().tokens.push_back(tokens_cur[j]);
|
result_all.back().tokens.push_back(tokens_cur[j]);
|
||||||
}
|
}
|
||||||
@ -4561,6 +4590,7 @@ int whisper_full_with_state(
|
|||||||
i--;
|
i--;
|
||||||
t0 = t1;
|
t0 = t1;
|
||||||
i0 = i + 1;
|
i0 = i + 1;
|
||||||
|
speaker_turn_next = false;
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
@ -4579,7 +4609,7 @@ int whisper_full_with_state(
|
|||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
result_all.push_back({ tt0, tt1, text, {} });
|
result_all.push_back({ tt0, tt1, text, {} , speaker_turn_next });
|
||||||
for (int j = i0; j < (int) tokens_cur.size(); j++) {
|
for (int j = i0; j < (int) tokens_cur.size(); j++) {
|
||||||
result_all.back().tokens.push_back(tokens_cur[j]);
|
result_all.back().tokens.push_back(tokens_cur[j]);
|
||||||
}
|
}
|
||||||
@ -4759,6 +4789,10 @@ int64_t whisper_full_get_segment_t1(struct whisper_context * ctx, int i_segment)
|
|||||||
return ctx->state->result_all[i_segment].t1;
|
return ctx->state->result_all[i_segment].t1;
|
||||||
}
|
}
|
||||||
|
|
||||||
|
bool whisper_full_get_segment_speaker_turn_next(struct whisper_context * ctx, int i_segment) {
|
||||||
|
return ctx->state->result_all[i_segment].speaker_turn_next;
|
||||||
|
}
|
||||||
|
|
||||||
const char * whisper_full_get_segment_text_from_state(struct whisper_state * state, int i_segment) {
|
const char * whisper_full_get_segment_text_from_state(struct whisper_state * state, int i_segment) {
|
||||||
return state->result_all[i_segment].text.c_str();
|
return state->result_all[i_segment].text.c_str();
|
||||||
}
|
}
|
||||||
|
19
whisper.h
19
whisper.h
@ -277,15 +277,16 @@ extern "C" {
|
|||||||
// Special tokens
|
// Special tokens
|
||||||
WHISPER_API whisper_token whisper_token_eot (struct whisper_context * ctx);
|
WHISPER_API whisper_token whisper_token_eot (struct whisper_context * ctx);
|
||||||
WHISPER_API whisper_token whisper_token_sot (struct whisper_context * ctx);
|
WHISPER_API whisper_token whisper_token_sot (struct whisper_context * ctx);
|
||||||
WHISPER_API whisper_token whisper_token_prev(struct whisper_context * ctx);
|
|
||||||
WHISPER_API whisper_token whisper_token_solm(struct whisper_context * ctx);
|
WHISPER_API whisper_token whisper_token_solm(struct whisper_context * ctx);
|
||||||
|
WHISPER_API whisper_token whisper_token_prev(struct whisper_context * ctx);
|
||||||
|
WHISPER_API whisper_token whisper_token_nosp(struct whisper_context * ctx);
|
||||||
WHISPER_API whisper_token whisper_token_not (struct whisper_context * ctx);
|
WHISPER_API whisper_token whisper_token_not (struct whisper_context * ctx);
|
||||||
WHISPER_API whisper_token whisper_token_beg (struct whisper_context * ctx);
|
WHISPER_API whisper_token whisper_token_beg (struct whisper_context * ctx);
|
||||||
WHISPER_API whisper_token whisper_token_lang(struct whisper_context * ctx, int lang_id);
|
WHISPER_API whisper_token whisper_token_lang(struct whisper_context * ctx, int lang_id);
|
||||||
|
|
||||||
// Task tokens
|
// Task tokens
|
||||||
WHISPER_API whisper_token whisper_token_translate (void);
|
WHISPER_API whisper_token whisper_token_translate (struct whisper_context * ctx);
|
||||||
WHISPER_API whisper_token whisper_token_transcribe(void);
|
WHISPER_API whisper_token whisper_token_transcribe(struct whisper_context * ctx);
|
||||||
|
|
||||||
// Performance information from the default state.
|
// Performance information from the default state.
|
||||||
WHISPER_API void whisper_print_timings(struct whisper_context * ctx);
|
WHISPER_API void whisper_print_timings(struct whisper_context * ctx);
|
||||||
@ -358,6 +359,9 @@ extern "C" {
|
|||||||
bool speed_up; // speed-up the audio by 2x using Phase Vocoder
|
bool speed_up; // speed-up the audio by 2x using Phase Vocoder
|
||||||
int audio_ctx; // overwrite the audio context size (0 = use default)
|
int audio_ctx; // overwrite the audio context size (0 = use default)
|
||||||
|
|
||||||
|
// [EXPERIMENTAL] [TDRZ] tinydiarize
|
||||||
|
bool tdrz_enable; // enable tinydiarize speaker turn detection
|
||||||
|
|
||||||
// tokens to provide to the whisper decoder as initial prompt
|
// tokens to provide to the whisper decoder as initial prompt
|
||||||
// these are prepended to any existing text context from a previous call
|
// these are prepended to any existing text context from a previous call
|
||||||
const char * initial_prompt;
|
const char * initial_prompt;
|
||||||
@ -460,6 +464,9 @@ extern "C" {
|
|||||||
WHISPER_API int64_t whisper_full_get_segment_t1 (struct whisper_context * ctx, int i_segment);
|
WHISPER_API int64_t whisper_full_get_segment_t1 (struct whisper_context * ctx, int i_segment);
|
||||||
WHISPER_API int64_t whisper_full_get_segment_t1_from_state(struct whisper_state * state, int i_segment);
|
WHISPER_API int64_t whisper_full_get_segment_t1_from_state(struct whisper_state * state, int i_segment);
|
||||||
|
|
||||||
|
// Get whether the next segment is predicted as a speaker turn
|
||||||
|
WHISPER_API bool whisper_full_get_segment_speaker_turn_next(struct whisper_context * ctx, int i_segment);
|
||||||
|
|
||||||
// Get the text of the specified segment
|
// Get the text of the specified segment
|
||||||
WHISPER_API const char * whisper_full_get_segment_text (struct whisper_context * ctx, int i_segment);
|
WHISPER_API const char * whisper_full_get_segment_text (struct whisper_context * ctx, int i_segment);
|
||||||
WHISPER_API const char * whisper_full_get_segment_text_from_state(struct whisper_state * state, int i_segment);
|
WHISPER_API const char * whisper_full_get_segment_text_from_state(struct whisper_state * state, int i_segment);
|
||||||
@ -488,9 +495,9 @@ extern "C" {
|
|||||||
|
|
||||||
// Temporary helpers needed for exposing ggml interface
|
// Temporary helpers needed for exposing ggml interface
|
||||||
|
|
||||||
WHISPER_API int whisper_bench_memcpy(int n_threads);
|
WHISPER_API int whisper_bench_memcpy (int n_threads);
|
||||||
WHISPER_API const char * whisper_bench_memcpy_str(int n_threads);
|
WHISPER_API const char * whisper_bench_memcpy_str (int n_threads);
|
||||||
WHISPER_API int whisper_bench_ggml_mul_mat(int n_threads);
|
WHISPER_API int whisper_bench_ggml_mul_mat (int n_threads);
|
||||||
WHISPER_API const char * whisper_bench_ggml_mul_mat_str(int n_threads);
|
WHISPER_API const char * whisper_bench_ggml_mul_mat_str(int n_threads);
|
||||||
|
|
||||||
#ifdef __cplusplus
|
#ifdef __cplusplus
|
||||||
|
Loading…
Reference in New Issue
Block a user