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Usage examples, Python:
git clone https://github.com/alphacep/vosk-api
cd vosk-api/python/example
wget https://alphacephei.com/kaldi/models/vosk-model-small-en-us-0.15.zip
unzip vosk-model-small-en-us-0.15.zip
mv vosk-model-small-en-us-0.15 model
python3 ./test_simple.py test.wav
#!/usr/bin/env python3
from vosk import Model, KaldiRecognizer, SetLogLevel
import sys
import os
import wave
import subprocess
SetLogLevel(0)
if not os.path.exists("model"):
print ("Please download the model from https://alphacephei.com/vosk/models and unpack as 'model' in the current folder.")
exit (1)
sample_rate=16000
model = Model("model")
rec = KaldiRecognizer(model, sample_rate)
process = subprocess.Popen(['ffmpeg', '-loglevel', 'quiet', '-i',
sys.argv[1],
'-ar', str(sample_rate) , '-ac', '1', '-f', 's16le', '-'],
stdout=subprocess.PIPE)
while True:
data = process.stdout.read(4000)
if len(data) == 0:
break
if rec.AcceptWaveform(data):
print(rec.Result())
else:
print(rec.PartialResult())
print(rec.FinalResult())
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