Papers by Ashishkumar Gudmalwar
Isometric Neural Machine Translation using Phoneme Count Ratio Reward-based Reinforcement Learning (2024.findings-naacl)
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| Challenge: | Traditional Automatic Video Dubbing (AVD) pipelines use isometric-NMT algorithms to regulate the length of the output text. |
| Approach: | They propose an isometric-NMT system that regulates the length of the output text . they propose a phoneme Count Compliance score to measure length compliance . |
| Outcome: | The proposed approach improves phoneme count compliance scores by 36% compared to state-of-the-art models in English-Hindi language pairs. |