collaborators

15 papers

eess.AS2026

Confidence Score Guided Incremental and Speaker Adaptive Pseudo-Labeling for Semi-Supervised Elderly Speech Recognition

Chengxi Deng, Xurong Xie, Shujie Hu +7

This paper proposes a novel confidence score guided incremental and speaker adaptive pseudo-labeling approach for semi-supervised elderly speech recognition. It facilitates higher-…

eess.AS2026

Decoding while Adapting: Zero-Shot Online Speaker Adaptation via Audio-Textual Prompts for Elderly Speech Recognition

Chengxi Deng, Xurong Xie, Shujie Hu +7

This paper proposes a novel cross-utterance audio-textual prompts based speaker adaptation approach for elderly speech recognition. It enables zero-shot, real-time adaptation to un…

cs.SD2026

Explainable and Trustworthy Speech Emotion Recognition Using Confidence Score and Reinforcement Learning Rectified Speech Emotion Descriptors

Youjun Chen, Xurong Xie, Mengzhe Geng +9

Explainable and trustworthy speech emotion recognition (SER) remains a challenging task to date, largely due to the scarcity of SER data with reliable speech emotion descriptor (SE…

cs.SD2026

Towards Data-free and Training-free Compression for Speech Foundation Models Using Parameter Clustering

Haoning Xu, Zhaoqing Li, Huimeng Wang +4

This paper presents a novel data-free and training-free compression approach for speech foundation models using channelwise clustering via k-means. More fine-grained, mixed sparsit…

eess.AS2026

UNISON: A Unified Sound Generation and Editing Framework via Deep LLM Fusion

Zhaoqing Li, Haoning Xu, Jingran Su +9

We present UNISON, a latent diffusion framework that unifies speech generation, sound generation, and audio editing within a single model. A single model handles text-to-audio, tex…

eess.AS2026

SemaVoice: Semantic-Aware Continuous Autoregressive Speech Synthesis

Huimeng Wang, Hui Lu, Jiajun Deng +7

Continuous autoregressive speech synthesis has recently emerged as a promising direction for zero-shot text-to-speech (TTS). However, existing methods still suffer from a fundament…