Decodes latents into waveforms using an overlapped DCAE and Vocoder.

Drop paths (Stochastic Depth) per sample (when applied in main path of residual blocks). This is the same as the DropConnect impl I created for E

Load and preprocess audio file Args: item: Dataset item containing filename Returns: torch.T

Get full features for a dataset index Args: idx: Dataset index Returns: dict: Dictionary of

Detect the language of a text Args: text: Input text Returns: tuple: (primary_language, lang

Load speaker embedding file Args: speaker_emb_path: Path to speaker embedding file Returns:

Determine if an audio is silent and should be discarded Args: audio_tensor: torch.Tensor from torchaudio, shape (num_channels, n

Pack a batch of examples Args: batch: List of examples Returns: dict: Packed batch

For getting encoding in a streaming fashion Attention!!!!! we apply dropout only once at the whole utterance level in a none

功能：打印数组结果 기능: 어레이 결과 인쇄 機能:配列結果を印刷 Function: Print array results

Process a dataset item into model-ready features Args: item: Dataset item Returns: list: Lis

Compute relative positional encoding. Args: x (torch.Tensor): Input tensor (batch, head, time1, 2*time1-1). time1 mea

去除儿化音词中的儿: 他女儿在那边儿 -> 他女儿在那边

Load and prepare the dataset Args: train: Whether this is a training dataset shuffle: Whether to shuffl

Predict the sample from the previous timestep by reversing the SDE. This function propagates the diffusion process from the learned

Tokenize lyrics into token indices Args: lyrics: Lyrics text debug: Whether to print debug information

Process and tokenize lyrics in a dataset item Args: item: Dataset item containing lyrics debug: Whether

Repeat `val` for `repeat_time` times and return the list or val if list/tuple.

Get item at index with error handling Args: idx: Dataset index Returns: dict: Example featur

Initialize the Text2Music dataset Args: train: Whether this is a training dataset train_dataset_path: P

Construct an ConvolutionModule object. Args: channels (int): The number of channels of conv layers. kernel_size (int):

Construct a PositionwiseFeedForward object.

Construct an MultiHeadedAttention object.

Construct an RelPositionMultiHeadedAttention object.