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https://github.com/ggerganov/whisper.cpp.git
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448f3d3b93
* tests : add script to benchmark whisper.cpp on LibriSpeech corpus LibriSpeech is a widely-used benchmark dataset for training and testing speech recognition models. This adds a set of scripts to measure the recognition accuracy of whisper.cpp models, following the common benchmark standards. Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net> * Document how to prepare `whisper-cli` and model files Feedback from Daniel Bevenius. This adds a short code example how to prepare the `whisper-cli` command, to make the initial setup step a little bit clearer. Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net> * tests : Simplify how to set up Python environment Based on a feedback from Georgi Gerganov. Instead of setting up a virtual environment in Makefile, let users set up the Python environment. This is better since users may have their own preferred workflow/toolkit. Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net> --------- Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net>
48 lines
1.2 KiB
Python
48 lines
1.2 KiB
Python
import os
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import glob
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import jiwer
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from normalizers import EnglishTextNormalizer
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def get_reference():
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ref = {}
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for path in glob.glob('LibriSpeech/*/*/*/*.trans.txt'):
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with open(path) as fp:
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for line in fp:
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code, text = line.strip().split(" ", maxsplit=1)
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ref [code] = text
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return ref
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def get_hypothesis():
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hyp = {}
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for path in glob.glob('LibriSpeech/*/*/*/*.flac.txt'):
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with open(path) as fp:
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text = fp.read().strip()
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code = os.path.basename(path).replace('.flac.txt', '')
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hyp[code] = text
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return hyp
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def get_codes():
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codes = []
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for path in glob.glob('LibriSpeech/*/*/*/*.flac'):
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codes.append(os.path.basename(path).replace('.flac', ''))
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return sorted(codes)
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def main():
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normalizer = EnglishTextNormalizer()
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ref_orig = get_reference()
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hyp_orig = get_hypothesis()
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ref_clean = []
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hyp_clean = []
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for code in get_codes():
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ref_clean.append(normalizer(ref_orig[code]))
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hyp_clean.append(normalizer(hyp_orig[code]))
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wer = jiwer.wer(ref_clean, hyp_clean)
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print(f"WER: {wer * 100:.2f}%")
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if __name__ == '__main__':
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main()
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