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Xie Chen

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Anonymization, Not Elimination: Utility-Preserved Speech Anonymization

This work proposes a novel two-stage framework that protects both linguistic content and acoustic identity while maintaining usability and introduces F3-VA, a flow-matching-based anonymization framework with a three-stage design that produces diverse and distinct anonymized speakers.

Yunchong Xiao, Yuxiang Zhao, Ziyang Ma et al. · 1 citation

UltraVoice: Scaling Fine-Grained Style-Controlled Speech Conversations for Spoken Dialogue Models

The first large-scale speech dialogue dataset engineered for multiple fine-grained speech style control, UltraVoice, demonstrates substantial gains in core understanding, reasoning, and conversational abilities, and its utility extends to training controllable Text-to-Speech (TTS) models.

Wen-Ming Tu, Guanrou Yang, Rui-Qi Yan et al. · 3 citations · ⚡1
Jul 2026

OmniVAE: An Audio-Video VAE with Cross-Modal Alignment for Joint Generation

OmniVAE is presented, a jointly trained audio-video VAE that learns fine-grained semantic alignment between audio and video latent representations that translates into higher generation quality and more accurate cross-modal synchronization in downstream text-to-audio-video generation.

Jun Zhan, Chenchen Yang, Yitian Gong et al. · 0 citations
Preprint Jul 2026

Efficient Chain-of-Modality Reasoning via Progressive Compression for Spoken Language Models

This work proposes Efficient Chain-of-Modality Reasoning (ECoM Reasoning), the first framework to introduce compressed reasoning into SLMs, and proposes Progressive Compression, a curriculum-based strategy that gradually trains the model from full-form reasoning to compressed reasoning.

Pengchao Feng, Chao-Hong Tan, Qian Chen et al. · 0 citations
Review Jul 2026

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering

DCASE~2026 Task~5 introduces Audio-Dependent Question Answering (ADQA), which tests whether large audio-language models answer from the audio rather than from textual priors. An Audio-Dependency Filtering (ADF) pipeline combines silent-audio probing, per-option perplexity, a large language model (LLM) commonsense check...

Haolin He, Renhe Sun, Zheqi Dai et al. · 1 citation

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