Instantiates and loads the model given the weights file that was passed in the constructor.

Resets a box and adds a list of items. Pass a list of (item, data) pairs instead to join data to the items

Whether the model is loaded in memory.

lowercase input tokens.

Synthesizes mel spectrograms from texts and speaker embeddings. :param texts: a list of N text prompts to be synthesized :pa

Calls `flatten_parameters` on all the rnns used by the WaveRNN. Used to improve efficiency and avoid PyTorch yelling at us.

librosa implementation of Griffin-Lim Based on https://github.com/librosa/librosa/issues/434

Computes embeddings for a batch of mel spectrogram. :param frames_batch: a batch mel of spectrogram as a numpy array of float32 of shape

Fold the tensor with overlap for quick batched inference. Overlap will be used for crossfading in xfade_and_unfold() Args:

Loads and preprocesses an audio file under the same conditions the audio files were used to train the synthesizer.

numerically stable log_sum_exp implementation that prevents overflow

A function that splits any string based on specific character (returning it with the string), with maximum number of words on it

Converts a string of text to a sequence of IDs corresponding to the symbols in the text. The text can optionally have ARPAbet sequences enclose

Computes where to split an utterance waveform and its corresponding mel spectrogram to obtain partial utterances of <partial_utterance_n_fram