Update README.md

README.md

@@ -1,3 +1,53 @@
 ---
 license: cc-by-nc-4.0
+language:
+- th
+metrics:
+- cer
+- wer
+library_name: espnet
+pipeline_tag: automatic-speech-recognition
 ---
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+This is the baseline model of Khummuang in [Thai-dialect corpus](https://github.com/SLSCU/thai-dialect-corpus).
+
+The training recipe was based on wsj recipe in [espnet](https://github.com/espnet/espnet/).
+
+
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+This model is Hybrid CTC/Attention model with pre-trained HuBERT encoder.
+
+
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+For evaluation, the metrics are CER and WER. before WER evaluation, transcriptions were re-tokenized using [PyThaiNLP](https://github.com/PyThaiNLP/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|
+<!-- |8.08|11.51|17.39|5.63|12.18|16.65|25.58|7.72| -->
+<!-- |18.17|22.38|31.01|13.75|31.74|37.68|50.54|24.82| -->
+
+## Paper
+
+[Thai Dialect Corpus and Transfer-based Curriculum Learning Investigation for Dialect Automatic Speech Recognition](https://www.isca-speech.org/archive/pdfs/interspeech_2023/suwanbandit23_interspeech.pdf)
+```
+@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}
+}
+```