Воск, например, вместе с ffmpeg, работать будет без сети:
https://github.com/alphacep/vosk-api/blob/master/p...
from vosk import Model, KaldiRecognizer
import sys
import os
import subprocess
if not os.path.exists("model"):
print ("Please download the model from https://github.com/alphacep/vosk-api/blob/master/doc/models.md 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())
