python类paInt32()的实例源码

def _data_format(self, x):
        """The data types in numpy needs to be mapped to the equivalent type in
        portaudio. This is an issue for 24 bit audio files since there isn't a
        24 bit data type in numpy. This is currently not implemented. There are
        some options on how to do this. We could for example use a 32 bit int and
        store the 24 bits either so that bits 1 to 8 is set to zeroes or so that
        bits 25 to 32 is set to zeros.
        """
        retval = None

        if x.samples.dtype == np.dtype(np.float32):
            self._logger.debug("pyaudio.paFloat32")
            retval = pyaudio.paFloat32
        elif x.samples.dtype == np.dtype(np.int16):
            self._logger.debug("pyaudio.paInt16")
            retval = pyaudio.paInt16
        elif x.samples.dtype == np.dtype(np.int32):
            self._logger.debug("pyaudio.paInt32")
            retval = pyaudio.paInt32
        else:
            raise NotImplementedError("Data type not understood: %s" %x.samples.dtype)

        return retval

def record(record_len):  # in second
    if p is None or idx is None:
        init()

    # Constant area. These are put inside because this function will not be in main thread.
    channels = 6
    rate = 48000
    chunk = 1200
    # Bit depth and max value goes together.
    record_format, numpy_format = pyaudio.paInt32, numpy.int32

    stream = p.open(format=record_format,
                    channels=channels,
                    rate=rate,
                    input=True,
                    input_device_index=idx,
                    frames_per_buffer=chunk)
    print('Begin recording...')
    wave_data = numpy.empty((channels, 0), dtype=numpy_format)
    for i in range(0, int(rate / chunk * record_len)):
        data = stream.read(chunk, exception_on_overflow=False)
        np_tmp = numpy.frombuffer(data, dtype=numpy_format)
        np_tmp = numpy.reshape(np_tmp, (chunk, channels))
        np_tmp = np_tmp.transpose()
        wave_data = numpy.append(wave_data, np_tmp, axis=1)
    stream.stop_stream()
    stream.close()
    return rate, wave_data, pos

def _recreate_outputter(self):
        if self.samp_queue:
            self.play(None)
        self.samp_queue = queue.Queue(maxsize=self.queue_size)
        stream_ready = threading.Event()

        def audio_thread():
            audio = pyaudio.PyAudio()
            try:
                audio_format = audio.get_format_from_width(self.samplewidth) if self.samplewidth != 4 else pyaudio.paInt32
                self.stream = audio.open(format=audio_format, channels=self.nchannels, rate=self.samplerate, output=True)
                stream_ready.set()
                q = self.samp_queue
                try:
                    while True:
                        sample = q.get()
                        if not sample:
                            break
                        sample.write_frames(self.stream)
                        if self.played_callback:
                            self.played_callback(sample)
                        if q.empty():
                            time.sleep(sample.duration)
                            self.all_played.set()
                finally:
                    self.stream.close()
                    self.all_played.set()
            finally:
                audio.terminate()

        outputter = threading.Thread(target=audio_thread, name="audio-pyaudio", daemon=True)
        outputter.start()
        stream_ready.wait()

def _apiai_stt(self):
        from math import log
        import audioop
        import pyaudio
        import time
        resampler = apiai.Resampler(source_samplerate=settings['RATE'])
        request = self.ai.voice_request()
        vad = apiai.VAD()

        def callback(in_data, frame_count):
            frames, data = resampler.resample(in_data, frame_count)
            if settings.show_decibels:
                decibel = 20 * log(audioop.rms(data, 2) + 1, 10)
                click.echo(decibel)
            state = vad.processFrame(frames)
            request.send(data)
            state_signal = pyaudio.paContinue if state == 1 else pyaudio.paComplete
            return in_data, state_signal

        p = pyaudio.PyAudio()
        stream = p.open(format=pyaudio.paInt32, input=True, output=False, stream_callback=callback,
                        channels=settings['CHANNELS'], rate=settings['RATE'], frames_per_buffer=settings['CHUNK'])
        stream.start_stream()
        click.echo("Speak!")
        while stream.is_active():
            time.sleep(0.1)
        stream.stop_stream()
        stream.close()
        p.terminate()