Papers by Pavan Tankala
STORiCo: Storytelling TTS for Hindi with Character Voice Modulation (2024.eacl-short)
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| Challenge: | Existing datasets for read speech for Hindi lack expressiveness and character voice consistency. |
| Approach: | They propose to use a Hindi text-to-speech (TTS) dataset to train a multi-speaker model on the single-sector data and propose to improve expressiveness and character voice consistency. |
| Outcome: | The proposed model improves expressiveness and character voice consistency compared to the baseline single-speaker model. |
PUB: A Pragmatics Understanding Benchmark for Assessing LLMs’ Pragmatics Capabilities (2024.findings-acl)
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| Challenge: | Pragmatics understanding is not well studied in LLMs, but their understanding of pragmatics is lacking. |
| Approach: | They propose to use a dataset to measure LLMs' understanding of pragmatics to evaluate their models. |
| Outcome: | The proposed dataset includes 14 tasks in four pragmatics phenomena, namely; Implicature, Presupposition, Reference, and Deixis. |