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vosk_example.py
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"""Пример использования VOSK"""
import vosk
import wave
import json
from pydub import AudioSegment
def get_text_from_audio():
"""mp3 в текст"""
"""Загружаем модель"""
model_path = "vosk-model-small-en-us-0.15" # https://alphacephei.com/vosk/models
vosk.SetLogLevel(-1)
model = vosk.Model(model_path)
"""Открываем файл"""
audio_file = "audio (1).mp3" # аудио для распознавания
wav_file = "audio.wav"
"""Конвертируем в файл WAV"""
audio = AudioSegment.from_mp3(audio_file)
audio.export("audio.wav", format="wav")
"""Открываем WAV"""
wf = wave.open(wav_file, "rb")
"""Объект распознавания речи"""
rec = vosk.KaldiRecognizer(model, wf.getframerate())
"""Распознаем текст"""
while True:
data = wf.readframes(4000)
if len(data) == 0:
break
if rec.AcceptWaveform(data):
result = rec.Result()
result = json.loads(result)
recognized_text = result["text"]
print(recognized_text)
return recognized_text
get_text_from_audio()