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* add egs/xbmu_amdo31 * fix xbmu_amdo31/ASR/pruned_transducer_stateless5/train.py * fix xbmu_amdo31/ASR/pruned_transducer_stateless5/asr_datamodule.py * fix xbmu_amdo31/ASR/prepare.sh * add RESULTS.md and README.md * dix pruned_transducer_stateless5 decode.py * add transducer stateless7 * fix transducer_stateless7 * fix RESULTS.md error * Add pruned_transducer_stateless7 validation set results
16 lines
851 B
Markdown
16 lines
851 B
Markdown
# Introduction
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About the XBMU-AMDO31 corpus
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XBMU-AMDO31 is an open-source Amdo Tibetan speech corpus published by Northwest Minzu University.
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publicly available on https://huggingface.co/datasets/syzym/xbmu_amdo31
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XBMU-AMDO31 dataset is a speech recognition corpus of Amdo Tibetan dialect.
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The open source corpus contains 31 hours of speech data and resources related
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to build speech recognition systems,including transcribed texts and a Tibetan
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pronunciation lexicon.
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(The lexicon is a Tibetan lexicon of the Lhasa dialect, which has been reused
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for the Amdo dialect because of the uniformity of the Tibetan language)
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The dataset can be used to train a model for Amdo Tibetan Automatic Speech Recognition (ASR).
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This recipe includes some different ASR models trained with XBMU-AMDO31.
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[./RESULTS.md](./RESULTS.md) contains the latest results. |