Openspeech CTC Model¶

class openspeech.models.openspeech_ctc_model.OpenspeechCTCModel(configs: omegaconf.dictconfig.DictConfig, tokenizer: openspeech.tokenizers.tokenizer.Tokenizer)[source]¶

Base class for OpenSpeech’s encoder-only models (ctc-model).

Parameters

configs (DictConfig) – configuration set.
tokenizer (Tokenizer) – tokenizer is in charge of preparing the inputs for a model.

Inputs:: inputs (torch.FloatTensor): A input sequence passed to encoders. Typically for inputs this will be a padded FloatTensor of size (batch, seq_length, dimension). input_lengths (torch.LongTensor): The length of input tensor. (batch)

Returns: Result of model predictions that contains y_hats, logits, output_lengths
Return type: ouputs (dict)

forward(inputs: torch.FloatTensor, input_lengths: torch.IntTensor) → Dict[str, torch.Tensor][source]¶

Forward propagate a inputs and targets pair for inference.

Parameters

inputs (torch.FloatTensor) – A input sequence passed to encoders. Typically for inputs this will be a padded FloatTensor of size (batch, seq_length, dimension).
input_lengths (torch.IntTensor) – The length of input tensor. (batch)

Returns

Result of model predictions that contains y_hats, logits, output_lengths

Return type

ouputs (dict)

set_beam_decoder(beam_size: int = 3)[source]¶: Setting beam search decoder

test_step(batch: tuple, batch_idx: int) → collections.OrderedDict [source]¶

Forward propagate a inputs and targets pair for test.

Inputs:: train_batch (tuple): A train batch contains inputs, targets, input_lengths, target_lengths batch_idx (int): The index of batch

training_step(batch: tuple, batch_idx: int) → collections.OrderedDict [source]¶

Forward propagate a inputs and targets pair for training.

Inputs:: train_batch (tuple): A train batch contains inputs, targets, input_lengths, target_lengths batch_idx (int): The index of batch

validation_step(batch: tuple, batch_idx: int) → collections.OrderedDict [source]¶

Forward propagate a inputs and targets pair for validation.

Inputs:: train_batch (tuple): A train batch contains inputs, targets, input_lengths, target_lengths batch_idx (int): The index of batch