55 lines
1.5 KiB
Plaintext
55 lines
1.5 KiB
Plaintext
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https://alphacephei.com/vosk/install
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======= install ========
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pip install vosk
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pip install srt
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pip install sounddevice
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========= config ============
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from vosk import Model, KaldiRecognizer, SetLogLevel
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import sys
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import os
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import wave
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import subprocess
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import srt
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import json
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import datetime
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sample_rate=16000
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model = Model(r"D:\DEV\models\vosk-model-small-ru-0.15")
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rec = KaldiRecognizer(model, sample_rate)
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=========== use =============
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process = subprocess.Popen(['ffmpeg', '-loglevel', 'quiet', '-i',
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sys.argv[1],
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'-ar', str(sample_rate) , '-ac', '1', '-f', 's16le', '-'],
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stdout=subprocess.PIPE)
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WORDS_PER_LINE = 7
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def transcribe():
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results = []
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subs = []
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while True:
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data = process.stdout.read(4000)
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if len(data) == 0:
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break
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if rec.AcceptWaveform(data):
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results.append(rec.Result())
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results.append(rec.FinalResult())
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for i, res in enumerate(results):
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jres = json.loads(res)
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if not 'result' in jres:
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continue
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words = jres['result']
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for j in range(0, len(words), WORDS_PER_LINE):
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line = words[j : j + WORDS_PER_LINE]
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s = srt.Subtitle(index=len(subs),
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content=" ".join([l['word'] for l in line]),
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start=datetime.timedelta(seconds=line[0]['start']),
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end=datetime.timedelta(seconds=line[-1]['end']))
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subs.append(s)
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return subs
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