mirror of
https://github.com/k2-fsa/icefall.git
synced 2025-08-10 02:22:17 +00:00
e6a6727012
* 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
|
|
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](./RESULTS.md) contains the latest results. |