Get npy file path for a given key.

Converts linear spectrogram to waveform using librosa

Converts mel spectrogram to waveform using librosa

Loads the model in memory. If this function is not explicitely called, it will be run on the first call to embed_frames() with the default w

Compute left and right padding

Applies the preprocessing operations used in training the Speaker Encoder to a waveform either on disk or in memory. The waveform will be res

Applies the preprocessing operations used in training the Speaker Encoder to a waveform either on disk or in memory. The waveform will be res

Crops the frames into a partial utterance of n_frames :param n_frames: The number of frames of the partial utterance

Return receptive field size.

Return receptive field size.

Remove weight normalization module from all of the layers.

Reset parameters.

Reset parameters.

Ensures that segments without voice in the waveform remain no longer than a threshold determined by the VAD parameters in params.py. :p

Return the values of the scp file.

Return the values of the scp file.

从音频中提取特征，并将他们合起来，计算新特征

Derives a mel spectrogram ready to be used by the encoder from a preprocessed audio waveform. Note: this not a log-mel spectrogram. wav: