Python sounddevice.rec() Examples

The following are 3 code examples of sounddevice.rec(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module sounddevice , or try the search function .
Example #1
Source File: classiPi.py    From Sound-classification-on-Raspberry-Pi-with-Tensorflow with MIT License 6 votes vote down vote up 
def extract_features():
    X = sounddevice.rec(int(duration * sample_rate), samplerate=sample_rate, channels=1)
    sounddevice.wait()
    X= np.squeeze(X)
    stft = np.abs(librosa.stft(X))
    mfccs = np.array(librosa.feature.mfcc(y=X, sr=sample_rate, n_mfcc=8).T)
    chroma = np.array(librosa.feature.chroma_stft(S=stft, sr=sample_rate).T)
    mel = np.array(librosa.feature.melspectrogram(X, sr=sample_rate).T)
    contrast = np.array(librosa.feature.spectral_contrast(S=stft, sr=sample_rate).T)
    tonnetz = np.array(librosa.feature.tonnetz(y=librosa.effects.harmonic(X), sr=sample_rate).T)
    ext_features = np.hstack([mfccs,chroma,mel,contrast,tonnetz])
    features = np.vstack([features,ext_features])
    return features
Example #2
Source File: noise.py    From enviroplus-python with MIT License 6 votes vote down vote up 
def _record(self):
        return sounddevice.rec(
            int(self.duration * self.sample_rate),
            samplerate=self.sample_rate,
            blocking=True,
            channels=1,
            dtype='float64'
        )
Example #3
Source File: implement_model.py    From Build-CNN-or-LSTM-or-CNNLSTM-with-speech-features with MIT License 5 votes vote down vote up 
def record_sound(sec,message):
    sr = 16000
    print(message+" for {} seconds..".format(sec))
    sound = sd.rec(int(sec*sr),samplerate=sr,channels=1)
    sd.wait()
    return sound, sr