diff --git a/coreml/whisper-encoder-impl.h b/coreml/whisper-encoder-impl.h
index ecb61555..7b83cd90 100644
--- a/coreml/whisper-encoder-impl.h
+++ b/coreml/whisper-encoder-impl.h
@@ -123,7 +123,7 @@ API_AVAILABLE(macos(12.0), ios(15.0), watchos(8.0), tvos(15.0)) __attribute__((v
 
 /**
     Make a prediction using the convenience interface
-    @param logmel_data as 1 × 80 × 3000 3-dimensional array of floats:
+    @param logmel_data as 1 × n_mel × 3000 3-dimensional array of floats:
     @param error If an error occurs, upon return contains an NSError object that describes the problem. If you are not interested in possible errors, pass in NULL.
     @return the prediction as whisper_encoder_implOutput
 */
diff --git a/coreml/whisper-encoder.h b/coreml/whisper-encoder.h
index 84bbe416..508df7c1 100644
--- a/coreml/whisper-encoder.h
+++ b/coreml/whisper-encoder.h
@@ -3,6 +3,8 @@
 // Code is derived from the work of Github user @wangchou
 // ref: https://github.com/wangchou/callCoreMLFromCpp
 
+#include <stdint.h>
+
 #if __cplusplus
 extern "C" {
 #endif
@@ -14,6 +16,8 @@ void whisper_coreml_free(struct whisper_coreml_context * ctx);
 
 void whisper_coreml_encode(
         const whisper_coreml_context * ctx,
+                             int64_t   n_ctx,
+                             int64_t   n_mel,
                                float * mel,
                                float * out);
 
diff --git a/coreml/whisper-encoder.mm b/coreml/whisper-encoder.mm
index 499edaed..8e93f180 100644
--- a/coreml/whisper-encoder.mm
+++ b/coreml/whisper-encoder.mm
@@ -48,13 +48,15 @@ void whisper_coreml_free(struct whisper_coreml_context * ctx) {
 
 void whisper_coreml_encode(
         const whisper_coreml_context * ctx,
+                             int64_t   n_ctx,
+                             int64_t   n_mel,
                                float * mel,
                                float * out) {
     MLMultiArray * inMultiArray = [
         [MLMultiArray alloc] initWithDataPointer: mel
-                                           shape: @[@1, @80, @3000]
+                                           shape: @[@1, @(n_mel), @(n_ctx)]
                                         dataType: MLMultiArrayDataTypeFloat32
-                                         strides: @[@(240000), @(3000), @1]
+                                         strides: @[@(n_ctx*n_mel), @(n_ctx), @1]
                                      deallocator: nil
                                            error: nil
     ];
diff --git a/examples/talk-llama/talk-llama.cpp b/examples/talk-llama/talk-llama.cpp
index 8c41ef54..af971cab 100644
--- a/examples/talk-llama/talk-llama.cpp
+++ b/examples/talk-llama/talk-llama.cpp
@@ -248,7 +248,7 @@ int main(int argc, char ** argv) {
         return 1;
     }
 
-    if (whisper_lang_id(params.language.c_str()) == -1) {
+    if (params.language != "auto" && whisper_lang_id(params.language.c_str()) == -1) {
         fprintf(stderr, "error: unknown language '%s'\n", params.language.c_str());
         whisper_print_usage(argc, argv, params);
         exit(0);
diff --git a/models/convert-whisper-to-coreml.py b/models/convert-whisper-to-coreml.py
index adbbd109..7e09f5ba 100644
--- a/models/convert-whisper-to-coreml.py
+++ b/models/convert-whisper-to-coreml.py
@@ -252,7 +252,7 @@ class WhisperANE(Whisper):
 def convert_encoder(hparams, model, quantize=False):
     model.eval()
 
-    input_shape = (1, 80, 3000)
+    input_shape = (1, hparams.n_mels, 3000)
     input_data = torch.randn(input_shape)
     traced_model = torch.jit.trace(model, input_data)
 
@@ -302,7 +302,7 @@ if __name__ == "__main__":
     parser.add_argument("--optimize-ane", type=bool, help="optimize for ANE execution (currently broken)", default=False)
     args = parser.parse_args()
 
-    if args.model not in ["tiny", "tiny.en", "base", "base.en", "small", "small.en", "medium", "medium.en", "large", "large-v1", "large-v2"]:
+    if args.model not in ["tiny", "tiny.en", "base", "base.en", "small", "small.en", "small.en-tdrz", "medium", "medium.en", "large", "large-v1", "large-v2"]:
         raise ValueError("Invalid model name")
 
     whisper = load_model(args.model).cpu()
diff --git a/models/convert-whisper-to-openvino.py b/models/convert-whisper-to-openvino.py
index 6b3d3966..88e03ff7 100644
--- a/models/convert-whisper-to-openvino.py
+++ b/models/convert-whisper-to-openvino.py
@@ -9,7 +9,7 @@ import shutil
 def convert_encoder(hparams, encoder, mname):
     encoder.eval()
 
-    mel = torch.zeros((1, 80, 3000))
+    mel = torch.zeros((1, hparams.n_mels, 3000))
 
     onnx_folder=os.path.join(os.path.dirname(__file__),"onnx_encoder")
 
diff --git a/whisper.cpp b/whisper.cpp
index e2f7eb2a..12ba855a 100644
--- a/whisper.cpp
+++ b/whisper.cpp
@@ -1639,7 +1639,7 @@ static struct ggml_cgraph * whisper_build_graph_conv(
         ggml_allocr_alloc(alloc, cur);
 
         if (!ggml_allocr_is_measure(alloc)) {
-            whisper_coreml_encode(wstate.ctx_coreml, (float *) mel->data, (float *) cur->data);
+            whisper_coreml_encode(wstate.ctx_coreml, mel->ne[0], mel->ne[1], (float *) mel->data, (float *) cur->data);
         }
 #endif
 #ifdef WHISPER_USE_OPENVINO
@@ -3708,6 +3708,7 @@ void whisper_print_timings(struct whisper_context * ctx) {
 void whisper_reset_timings(struct whisper_context * ctx) {
     ctx->t_start_us = ggml_time_us();
     if (ctx->state != nullptr) {
+        ctx->state->t_mel_us = 0;
         ctx->state->t_sample_us = 0;
         ctx->state->t_encode_us = 0;
         ctx->state->t_decode_us = 0;