mirror of
https://github.com/FAUSheppy/ths-speech
synced 2025-12-06 11:31:36 +01:00
43 lines
1.2 KiB
Python
43 lines
1.2 KiB
Python
import speech_recognition as spr
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import multiprocessing as mp
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import os.path
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import filesystem
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import log
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USE_FREE=False
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USE_PAID=True
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def async_create_transcript(filename):
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print("Creating transcript..")
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mp.Process(target=create_and_save_transcript,args=(filename,)).start()
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def create_and_save_transcript(filename):
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transcript = analyse(filename)
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filesystem.save_transcript(filename, transcript)
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def analyse(filename):
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''' returns the transcripted audio, or None if the analysis fails '''
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recognizer = spr.Recognizer()
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with spr.AudioFile(filename) as source:
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audio = recognizer.record(source)
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try:
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if USE_FREE:
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string = free_google_backend(recognizer, audio)
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elif USE_PAID:
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string = paid_google_backend(recognizer,audio)
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except spr.UnknownValueError:
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log.log("Audio file is broken or not an audio file")
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return "ERROR_AUDIO_FILE_INVALID"
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except spr.RequestError as e:
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log.log("Could not connect to google API: {}".format(e))
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return "ERROR_API_FAILURE"
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return string
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def free_google_backend(recognizer, audio):
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return recognizer.recognize_google(audio,language="de-DE")
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def paid_google_backend(recognizer, audio):
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pass
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