Papers by Wenwu Wang
Towards Controllable Speech Synthesis in the Era of Large Language Models: A Systematic Survey (2025.emnlp-main)
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| Challenge: | Text-to-speech (TTS) has advanced from generating natural-sounding speech to enabling fine-grained control over speech attributes. |
| Approach: | They provide a review of controllable TTS methods from traditional control techniques to emerging approaches using natural language prompts. |
| Outcome: | The proposed methods are based on models, strategies, and features, and summarize challenges, datasets, and evaluations. |
Selective Prompting Tuning for Personalized Conversations with LLMs (2024.findings-acl)
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| Challenge: | Personalization in conversational AI requires persona profiles and contextual understanding to create meaningful conversations. |
| Approach: | They propose a method that softly prompts LLMs for personalized conversations in a selective way. |
| Outcome: | The proposed approach improves response diversity by up to 90% on the CONVAI2 dataset. |
Learning Retrieval Augmentation for Personalized Dialogue Generation (2023.emnlp-main)
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| Challenge: | Personalized dialogue generation is a popular approach for conversational AI applications . however, persona profiles may not provide comprehensive descriptions of the persona . |
| Approach: | They propose a method that leverages persona profiles and dialogue context to generate personalized dialogues by leveraging personas and persona profile. |
| Outcome: | The proposed method outperforms baselines on the CONVAI2 dataset . it is expected to generate personalized dialogues based on persona profiles and dialogue context . |