metadata

license: cc-by-nc-4.0
language:
  - th
metrics:
  - cer
  - wer
library_name: espnet
pipeline_tag: automatic-speech-recognition

Model Card for Model ID

This is the baseline model of Khummuang in Thai-dialect corpus.

The training recipe was based on wsj recipe in espnet.

Model Description

This model is Hybrid CTC/Attention model with pre-trained HuBERT encoder.

Evaluation

For evaluation, the metrics are CER and WER. before WER evaluation, transcriptions were re-tokenized using PyThaiNLP

Micro CER	Macro CER	Survival CER	E-commerce WER	Micro WER	Macro WER	Survival WER	E-commerce WER
5.35	5.65	6.29	5.02	7.53	8.73	11.38	6.09

Paper

Thai Dialect Corpus and Transfer-based Curriculum Learning Investigation for Dialect Automatic Speech Recognition

@inproceedings{suwanbandit23_interspeech,
  author={Artit Suwanbandit and Burin Naowarat and Orathai Sangpetch and Ekapol Chuangsuwanich},
  title={{Thai Dialect Corpus and Transfer-based Curriculum Learning Investigation for Dialect Automatic Speech Recognition}},
  year=2023,
  booktitle={Proc. INTERSPEECH 2023},
  pages={4069--4073},
  doi={10.21437/Interspeech.2023-1828}
}