10 papers · 1 filter
Cross-modal Consistency Guidance for Robust Emotion Control in Auto-Regressive TTS Models
Yizhou Peng, Yukun Ma, Chong Zhang +4
While Text-to-Speech (TTS) systems enable emotional control via natural-language instructions, expressiveness, naturalness, and speech quality degrade when the target emotion confl…
Proactive for Uncertainty: Cause-Aware Error Diagnosis and Interactive Clarification for Spoken Dialogue Systems
Yizhou Peng, Ziyang Ma, Changsong Liu +3
Cascaded Automatic Speech Recognition -- Large Language Model (ASR-LLM) pipelines remain popular for industrial Spoken Dialogue Systems (SDS), primarily because their decoupled des…
POTSA: A Cross-Lingual Speech Alignment Framework for Speech-to-Text Translation
Xuanchen Li, Chenrui Cui, Tianrui Wang +9
Speech Large Language Models have achieved breakthroughs in multilingual speech-to-text translation. However, existing approaches often overlook semantic commonalities across sourc…
Evaluating Bias in Spoken Dialogue LLMs for Real-World Decisions and Recommendations
Yihao Wu, Tianrui Wang, Yizhou Peng +5
While biases in large language models (LLMs), such as stereotypes and cultural tendencies in outputs, have been examined and identified, their presence and characteristics in spoke…
Zero-shot Context Biasing with Trie-based Decoding using Synthetic Multi-Pronunciation
Changsong Liu, Yizhou Peng, Eng Siong Chng
Contextual automatic speech recognition (ASR) systems allow for recognizing out-of-vocabulary (OOV) words, such as named entities or rare words. However, it remains challenging due…
Bi-directional Context-Enhanced Speech Large Language Models for Multilingual Conversational ASR
Yizhou Peng, Hexin Liu, Eng Siong Chng
This paper introduces the integration of language-specific bi-directional context into a speech large language model (SLLM) to improve multilingual continuous conversational automa…