Instructions to use SLSCU/thai-dialect_khummuang_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use SLSCU/thai-dialect_khummuang_model with ESPnet:
from espnet2.bin.asr_inference import Speech2Text model = Speech2Text.from_pretrained( "SLSCU/thai-dialect_khummuang_model" ) speech, rate = soundfile.read("speech.wav") text, *_ = model(speech)[0] - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -64,6 +64,12 @@ The CER and WER results on test set are:
|
|
| 64 |
<!-- |8.08|11.51|17.39|5.63|12.18|16.65|25.58|7.72| -->
|
| 65 |
<!-- |18.17|22.38|31.01|13.75|31.74|37.68|50.54|24.82| -->
|
| 66 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 67 |
## Paper
|
| 68 |
|
| 69 |
[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)
|
|
|
|
| 64 |
<!-- |8.08|11.51|17.39|5.63|12.18|16.65|25.58|7.72| -->
|
| 65 |
<!-- |18.17|22.38|31.01|13.75|31.74|37.68|50.54|24.82| -->
|
| 66 |
|
| 67 |
+
## Acknowledgement
|
| 68 |
+
|
| 69 |
+
We would like to thank the PMU-C grant (Thai Language Automatic Speech Recognition Interface for Community E-Commerce, C10F630122)
|
| 70 |
+
for the support of this research.
|
| 71 |
+
We also would like to acknowledge the Apex compute cluster team which provides compute support for this project.
|
| 72 |
+
|
| 73 |
## Paper
|
| 74 |
|
| 75 |
[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)
|