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icefall/egs/xbmu_amdo31/ASR
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zr_jin ef658d691e
fixes for init value of diagnostics.TensorDiagnosticOptions (#1269) 
* fixes for `diagnostics`

Replace `2 ** 22` with `512` as the default value of `diagnostics.TensorDiagnosticOptions`

also black formatted some scripts

* fixed formatting issues
2023-09-24 17:06:47 +08:00
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local
Add Tibetan Amdo dialect xbmu_amdo31 in egs (#706)
2022-12-03 23:50:49 +08:00
pruned_transducer_stateless5
fixes for init value of diagnostics.TensorDiagnosticOptions (#1269)
2023-09-24 17:06:47 +08:00
pruned_transducer_stateless7
fixes for init value of diagnostics.TensorDiagnosticOptions (#1269)
2023-09-24 17:06:47 +08:00
prepare.sh
Add Tibetan Amdo dialect xbmu_amdo31 in egs (#706)
2022-12-03 23:50:49 +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.