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icefall/egs/xbmu_amdo31/ASR
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Yifan Yang 5dfc3ed7f9
Fix buffer size of DynamicBucketingSampler (#1468) 
* Fix buffer size

* Fix for flake8

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Co-authored-by: yifanyeung <yifanyeung@yifanyeung.local>
2024-01-21 02:10:42 +08:00
..
local
Add Tibetan Amdo dialect xbmu_amdo31 in egs (#706)
2022-12-03 23:50:49 +08:00
pruned_transducer_stateless5
Fix buffer size of DynamicBucketingSampler (#1468)
2024-01-21 02:10:42 +08:00
pruned_transducer_stateless7
Use high_freq -400 in computing fbank features. (#1447)
2024-01-04 13:59:32 +08:00
prepare.sh
typo fixed (#1334)
2023-10-25 00:03:33 +08:00
README.md
Add Tibetan Amdo dialect xbmu_amdo31 in egs (#706)
2022-12-03 23:50:49 +08:00
RESULTS.md
Add Tibetan Amdo dialect xbmu_amdo31 in egs (#706)
2022-12-03 23:50:49 +08:00
shared
Add Tibetan Amdo dialect xbmu_amdo31 in egs (#706)
2022-12-03 23:50:49 +08:00

README.md

Introduction

About the XBMU-AMDO31 corpus XBMU-AMDO31 is an open-source Amdo Tibetan speech corpus published by Northwest Minzu University. publicly available on https://huggingface.co/datasets/syzym/xbmu_amdo31

XBMU-AMDO31 dataset is a speech recognition corpus of Amdo Tibetan dialect. The open source corpus contains 31 hours of speech data and resources related to build speech recognition systems,including transcribed texts and a Tibetan pronunciation lexicon. (The lexicon is a Tibetan lexicon of the Lhasa dialect, which has been reused for the Amdo dialect because of the uniformity of the Tibetan language) The dataset can be used to train a model for Amdo Tibetan Automatic Speech Recognition (ASR).

This recipe includes some different ASR models trained with XBMU-AMDO31.

./RESULTS.md contains the latest results.