50 lines
1.6 KiB
Python
50 lines
1.6 KiB
Python
import custom_speech_recognition as sr
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import pyaudiowpatch as pyaudio
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from datetime import datetime
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RECORD_TIMEOUT = 3
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ENERGY_THRESHOLD = 1000
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DYNAMIC_ENERGY_THRESHOLD = False
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class BaseRecorder:
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def __init__(self, source):
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self.recorder = sr.Recognizer()
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self.recorder.energy_threshold = ENERGY_THRESHOLD
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self.recorder.dynamic_energy_threshold = DYNAMIC_ENERGY_THRESHOLD
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self.stop = None
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if source is None:
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raise ValueError("audio source can't be None")
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self.source = source
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def adjust_for_noise(self):
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with self.source:
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self.recorder.adjust_for_ambient_noise(self.source)
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def record_into_queue(self, audio_queue):
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def record_callback(_, audio:sr.AudioData) -> None:
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audio_queue.put((audio.get_raw_data(), datetime.now()))
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self.stop = self.recorder.listen_in_background(self.source, record_callback, phrase_time_limit=RECORD_TIMEOUT)
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class SelectedMicRecorder(BaseRecorder):
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def __init__(self, device):
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source=sr.Microphone(
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device_index=device['index'],
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sample_rate=int(device["defaultSampleRate"]),
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)
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super().__init__(source=source)
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self.adjust_for_noise()
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class SelectedSpeakerRecorder(BaseRecorder):
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def __init__(self, device):
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source = sr.Microphone(speaker=True,
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device_index= device["index"],
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sample_rate=int(device["defaultSampleRate"]),
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chunk_size=pyaudio.get_sample_size(pyaudio.paInt16),
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channels=device["maxInputChannels"]
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)
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super().__init__(source=source)
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self.adjust_for_noise() |