70 lines
1.9 KiB
Python
Executable File
70 lines
1.9 KiB
Python
Executable File
#!/usr/bin/env python3
|
|
|
|
"""
|
|
This file shows how to use a non-streaming CTC model from Dolphin
|
|
to decode files.
|
|
|
|
Please download model files from
|
|
https://github.com/k2-fsa/sherpa-onnx/releases/tag/asr-models
|
|
"""
|
|
|
|
from pathlib import Path
|
|
import time
|
|
|
|
import sherpa_onnx
|
|
import soundfile as sf
|
|
|
|
|
|
def create_recognizer():
|
|
model = "./sherpa-onnx-dolphin-base-ctc-multi-lang-int8-2025-04-02/model.int8.onnx"
|
|
tokens = "./sherpa-onnx-dolphin-base-ctc-multi-lang-int8-2025-04-02/tokens.txt"
|
|
test_wav = (
|
|
"./sherpa-onnx-dolphin-base-ctc-multi-lang-int8-2025-04-02/test_wavs/0.wav"
|
|
)
|
|
|
|
if not Path(model).is_file() or not Path(test_wav).is_file():
|
|
raise ValueError(
|
|
"""Please download model files from
|
|
https://github.com/k2-fsa/sherpa-onnx/releases/tag/asr-models
|
|
"""
|
|
)
|
|
return (
|
|
sherpa_onnx.OfflineRecognizer.from_dolphin_ctc(
|
|
model=model,
|
|
tokens=tokens,
|
|
debug=True,
|
|
),
|
|
test_wav,
|
|
)
|
|
|
|
|
|
def main():
|
|
recognizer, wave_filename = create_recognizer()
|
|
|
|
audio, sample_rate = sf.read(wave_filename, dtype="float32", always_2d=True)
|
|
audio = audio[:, 0] # only use the first channel
|
|
|
|
# audio is a 1-D float32 numpy array normalized to the range [-1, 1]
|
|
# sample_rate does not need to be 16000 Hz
|
|
|
|
start = time.time()
|
|
stream = recognizer.create_stream()
|
|
stream.accept_waveform(sample_rate, audio)
|
|
recognizer.decode_stream(stream)
|
|
end = time.time()
|
|
|
|
print(wave_filename)
|
|
print(stream.result)
|
|
|
|
elapsed_seconds = end - start
|
|
audio_duration = len(audio) / sample_rate
|
|
real_time_factor = elapsed_seconds / audio_duration
|
|
|
|
print(f"Elapsed seconds: {elapsed_seconds:.3f}")
|
|
print(f"Audio duration in seconds: {audio_duration:.3f}")
|
|
print(f"RTF: {elapsed_seconds:.3f}/{audio_duration:.3f} = {real_time_factor:.3f}")
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|