Tong Niu

Meta-Prompt: Boosting Whisper's Performance in Low-Resource Speech Recognition

2024 · IEEE Signal Processing Letters

Recent advancements in large-scale pre-trained automatic speech recognition (ASR) foundation models (e.g., Whisper) have exhibited remarkable performance in speech processing tasks. A recently emerging paradigm, prompt tuning, offers a parameter-efficient approach for fine-tuning, which has …

Polite Dialogue Generation Without Parallel Data

2018 · Transactions of the Association for Computational Linguistics

Stylistic dialogue response generation, with valuable applications in personality-based conversational agents, is a challenging task because the response needs to be fluent, contextually-relevant, as well as paralinguistically accurate. Moreover, parallel datasets for regular-to-stylistic pairs are …