partial-asr.py

# coding=utf-8
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#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
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#     http://www.apache.org/licenses/LICENSE-2.0
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# Lint as: python3
"""Librispeech automatic speech recognition dataset."""


import os

import datasets

_CITATION = """\
@inproceedings{panayotov2015librispeech,
  title={Librispeech: an ASR corpus based on public domain audio books},
  author={Panayotov, Vassil and Chen, Guoguo and Povey, Daniel and Khudanpur, Sanjeev},
  booktitle={Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on},
  pages={5206--5210},
  year={2015},
  organization={IEEE}
}
"""
_LICENSE = "custom license - see project page"

_DESCRIPTION = """\
LibriSpeech is a corpus of approximately 1000 hours of read English speech with sampling rate of 16 kHz,
prepared by Vassil Panayotov with the assistance of Daniel Povey. The data is derived from read
audiobooks from the LibriVox project, and has been carefully segmented and aligned.87
"""

_URL = "http://www.openslr.org/12"


class PartialASRConfig(datasets.BuilderConfig):
    """BuilderConfig for PartialASRConfig."""

    def __init__(self, **kwargs):
        """
        Args:
          data_dir: `string`, the path to the folder containing the files in the
            downloaded .tar
          citation: `string`, citation for the data set
          url: `string`, url for information about the data set
          **kwargs: keyword arguments forwarded to super.
        """
        super(PartialASRConfig, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs)


class LibrispeechASR(datasets.GeneratorBasedBuilder):
    """Librispeech dataset."""

    DEFAULT_WRITER_BATCH_SIZE = 256
    DEFAULT_CONFIG_NAME = "all"
    BUILDER_CONFIGS = [
        PartialASRConfig(name="original", description="The original transcriptions, no audio removed."),
        PartialASRConfig(name="5-percent-removed", description="5% of the audio file was removed from the end."),
        PartialASRConfig(name="10-percent-removed", description="10% of the audio file was removed from the end."),
        PartialASRConfig(name="15-percent-removed", description="15% of the audio file was removed from the end."),
        PartialASRConfig(name="20-percent-removed", description="20% of the audio file was removed from the end."),
        PartialASRConfig(name="25-percent-removed", description="25% of the audio file was removed from the end."),

    ]

    def _info(self):
        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=datasets.Features(
                {
                  "text": datasets.Value("string"),
                }
            ),
            supervised_keys=None,
            homepage=_URL,
            license=_LICENSE,
            citation=_CITATION,
        )