athena.data.datasets.asr.speech_recognition_batch_bins

audio dataset

Module Contents

Classes

SpeechRecognitionDatasetBatchBinsBuilder

SpeechRecognitionDatasetBatchBinsBuilder

Functions

data_loader(dataset_builder[, batch_size, num_threads])

data loader

athena.data.datasets.asr.speech_recognition_batch_bins.data_loader(dataset_builder, batch_size=1, num_threads=1)

data loader

class athena.data.datasets.asr.speech_recognition_batch_bins.SpeechRecognitionDatasetBatchBinsBuilder(config=None)

Bases: athena.data.datasets.asr.speech_recognition.SpeechRecognitionDatasetBuilder

SpeechRecognitionDatasetBatchBinsBuilder

property sample_shape_batch_bins

@property

Returns

sample_shape of the dataset:

{
    "input": tf.TensorShape([None, None, dim, nc]),
    "input_length": tf.TensorShape([None]),
    "output_length": tf.TensorShape([None]),
    "output": tf.TensorShape([None, None]),
}

Return type

dict

default_config

preprocess_data(file_path)

__getitem__(index)

__len__()

as_dataset(batch_size=16, num_threads=1)

return tf.data.Dataset object

shard(num_shards, index)

creates a Dataset that includes only 1/num_shards of this dataset

batch_wise_shuffle(batch_size=1, epoch=-1, seed=917)

Batch-wise shuffling of the data entries.

Parameters

• batch_size (int, optional) – an integer for the batch size. Defaults to 1

• . (in batch_bins mode) –