Mispronunciation detection and diagnosis model for tonal language, applied to Vietnamese

Contact email:

• huutu12312vn@gmail.com
• thanh.pv.ds@gmail.com

Paper URL: https://www.isca-speech.org/archive/interspeech_2023/huu23_interspeech.html

Citation:

@inproceedings{huu23_interspeech,
  author={Tuong Tu Huu and Viet Thanh Pham and Thi Thu Trang Nguyen and Thai Lai Dao},
  title={{Mispronunciation detection and diagnosis model for tonal language, applied to Vietnamese}},
  year=2023,
  booktitle={Proc. INTERSPEECH 2023},
  pages={1014--1018},
  doi={10.21437/Interspeech.2023-364}
}

Description:

Here is the link to audio: https://drive.google.com/drive/folders/1TjTluTxEB99QhGFTYFWb-vEdWXM-lyKJ?usp=sharing

CSV contains 3 atributes:

Path: path to audio (Should change follow the format)

Canonical: Canonical phoneme

Transcript: Human notation phoneme

Total 4266 utterances with 84 speakers - 4.89 hours.

Add test_fix.csv: Fix some canonical. Original paper use test.csv