Datasets:
Update myspeechasr.py
Browse files- myspeechasr.py +2 -24
myspeechasr.py
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# -*- coding: utf-8 -*-
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"""MyspeechASR.ipynb
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Automatically generated by Colaboratory.
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Original file is located at
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https://colab.research.google.com/drive/1FrAIWodQp3jV9v_u_NSYIfzB-q1LRTi8
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"""
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#!pip install datasets
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#!pip install transformers
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# imports
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import datasets
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from datasets.tasks import AutomaticSpeechRecognition
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#from __future__ import absolute_import, division, print_function
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import glob
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import os
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import datasets
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_CITATION = """\
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@inproceedings{panayotov2015librispeech,
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title={
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author={Panayotov, Vassil and Chen, Guoguo and Povey, Daniel and Khudanpur, Sanjeev},
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booktitle={Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on},
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pages={5206--5210},
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"""
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_DESCRIPTION = """\
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prepared by Vassil Panayotov with the assistance of Daniel Povey. The data is derived from read
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audiobooks from the LibriVox project, and has been carefully segmented and aligned.87
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"""
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import datasets
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from datasets.tasks import AutomaticSpeechRecognition
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import os
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_CITATION = """\
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@inproceedings{panayotov2015librispeech,
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title={Myspeech: an ASR corpus based on public domain audio books},
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author={Panayotov, Vassil and Chen, Guoguo and Povey, Daniel and Khudanpur, Sanjeev},
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booktitle={Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on},
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pages={5206--5210},
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"""
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_DESCRIPTION = """\
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MySpeech is a corpus of approximately 1000 hours of read English speech with sampling rate of 16 kHz,
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prepared by Vassil Panayotov with the assistance of Daniel Povey. The data is derived from read
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audiobooks from the LibriVox project, and has been carefully segmented and aligned.87
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"""
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