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cs.SD2026

Speech Meets ELF: Audio Conditional Continuous-Target Diffusion for Speech Recognition and Translation

Xuanchen Li, Tianrui Wang, Yuheng Lu +11

Speech-to-text (S2T) systems for recognition (ASR) and translation (S2TT) typically generate discrete text tokens. In contrast, continuous-target language modelling performs genera…

cs.SD2026

Expressive Prompting: Improving Emotion Intensity and Speaker Consistency in Zero-Shot TTS

Haoyu Wang, Chunyu Qiang, Tianrui Wang +6

Recent advancements in speech synthesis have enabled large language model (LLM)-based systems to perform zero-shot generation with controllable content, timbre, speaker identity, a…

cs.SD2026

MSR-HuBERT: Self-supervised Pre-training for Adaptation to Multiple Sampling Rates

Zikang Huang, Meng Ge, Tianrui Wang +4

Self-supervised learning (SSL) has advanced speech processing. However, existing speech SSL methods typically assume a single sampling rate and struggle with mixed-rate data due to…

cs.SD2025

Perturbation Self-Supervised Representations for Cross-Lingual Emotion TTS: Stage-Wise Modeling of Emotion and Speaker

Cheng Gong, Chunyu Qiang, Tianrui Wang +7

Cross-lingual emotional text-to-speech (TTS) aims to produce speech in one language that captures the emotion of a speaker from another language while maintaining the target voice'…

cs.SD2025

Pay More Attention To Audio: Mitigating Imbalance of Cross-Modal Attention in Large Audio Language Models

Junyu Wang, Ziyang Ma, Zhengding Luo +4

Large Audio-Language Models (LALMs) often suffer from audio-textual attention imbalance, prioritizing text over acoustic information, particularly in the multi-modal fusion layers…

cs.SD2025

ASDA: Audio Spectrogram Differential Attention Mechanism for Self-Supervised Representation Learning

Junyu Wang, Tianrui Wang, Meng Ge +2

In recent advancements in audio self-supervised representation learning, the standard Transformer architecture has emerged as the predominant approach, yet its attention mechanism…