update

examples/wenet/toolbox_infer.py

@@ -41,18 +41,6 @@ def get_args():
 def main():
     args = get_args()
 
-    # audio convert
-    # signal, sample_rate = librosa.load(args.in_filename, sr=args.sample_rate)
-    # signal *= 32768.0
-    # signal = np.array(signal, dtype=np.int16)
-    #
-    # temp_file = temp_directory / "temp.wav"
-    # wavfile.write(
-    #     temp_file.as_posix(),
-    #     rate=args.sample_rate,
-    #     data=signal
-    # )
-
     # audio convert
     in_filename = Path(args.in_filename)
     out_filename = Path(tempfile.gettempdir()) / "asr" / in_filename.name
@@ -95,15 +83,6 @@ def main():
     )
     recognizer = sherpa.OfflineRecognizer(config)
 
-    # s = recognizer.create_stream()
-    # s.accept_wave_file(
-    #     temp_file.as_posix()
-    # )
-    # recognizer.decode_stream(s)
-    # text = s.result.text.strip()
-    # text = text.lower()
-    # print("text: {}".format(text))
-
     text = decode.decode_by_recognizer(recognizer=recognizer,
                                        filename=out_filename.as_posix(),
                                        )