[Python]Faster Whisperを用いた音声認識

pip install torch
pip install faster-whisper
sudo apt install ffmpeg

from faster_whisper import WhisperModel

# モデルの読み込み
model = WhisperModel("base", device="cpu")

# 音声ファイルのパス
audio_file = "output.wav"

# 音声認識の実行
segments, info = model.transcribe(audio_file, language="ja")

# 結果を表示
print(f"Detected language: {info.language}")
for segment in segments:
    print(f"[{segment.start:.2f}s - {segment.end:.2f}s] {segment.text}")

$ python3 -B python-faster-whisper-speech-recognition.py 
[2024-09-24 14:04:02.429] [ctranslate2] [thread 58988] [warning] The compute type inferred from the saved model is float16, but the target device or backend do not support efficient float16 computation. The model weights have been automatically converted to use the float32 compute type instead.
Detected language: ja
[0.00s - 2.00s] テスト

$ time python3 -B python-whisper-speech-recognition.py 
/home/user/.local/lib/python3.8/site-packages/whisper/__init__.py:146: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  checkpoint = torch.load(fp, map_location=device)
/home/user/.local/lib/python3.8/site-packages/whisper/transcribe.py:115: UserWarning: FP16 is not supported on CPU; using FP32 instead
  warnings.warn("FP16 is not supported on CPU; using FP32 instead")
テスト

real    0m8.221s
user    0m6.078s
sys    0m1.697s

$ time python3 -B python-faster-whisper-speech-recognition.py 
[2024-09-24 14:04:02.429] [ctranslate2] [thread 58988] [warning] The compute type inferred from the saved model is float16, but the target device or backend do not support efficient float16 computation. The model weights have been automatically converted to use the float32 compute type instead.
Detected language: ja
[0.00s - 2.00s] テスト

real    0m7.069s
user    0m4.951s
sys    0m1.380s