39 lines
1.4 KiB
Python
39 lines
1.4 KiB
Python
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#!/usr/bin/env python3
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import time
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import speech_recognition as sr
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# this is called from the background thread
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def callback(recognizer, audio):
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# received audio data, now we'll recognize it using Google Speech Recognition
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try:
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print("Processing...")
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text = r.recognize_whisper(audio, language="english")
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print(f"Whisper thinks you said {text}")
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except sr.UnknownValueError:
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print("Whisper could not understand audio")
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except sr.RequestError as e:
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print("Could not request results from Whisper")
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r = sr.Recognizer()
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m = sr.Microphone()
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with m as source:
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r.adjust_for_ambient_noise(source) # we only need to calibrate once, before we start listening
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# start listening in the background (note that we don't have to do this inside a `with` statement)
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stop_listening = r.listen_in_background(m, callback)
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# `stop_listening` is now a function that, when called, stops background listening
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# do some unrelated computations for 5 seconds
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# for _ in range(50):
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# time.sleep(0.1) # we're still listening even though the main thread is doing other things
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# print('0')
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# calling this function requests that the background listener stop listening
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# stop_listening(wait_for_stop=False)
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# do some more unrelated things
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print("Listening...")
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while True:
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time.sleep(0.1) # we're not listening anymore,
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# print('1')
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