Papers by Thepchai Supnithi
myMediCon: End-to-End Burmese Automatic Speech Recognition for Medical Conversations (2024.lrec-main)
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| Challenge: | Existing medical conversation speech corpora for Burmese are limited, despite advances in ASR. |
| Approach: | They propose to use a manually curated medical conversation speech corpus for Burmese to examine the performance of ASR models. |
| Outcome: | The proposed model outperforms the Transformer model and the Recurrent Neural Network (RNN) models. |