11 papers · 1 filter
Lip-Focused Audio-Visual Consistency Detects Speech Content Manipulation beyond Coarse Synchronization
Jian Zong, Chenghan Lin, Meng Liu +6
Speech-content manipulation changes what a visible person appears to say by replacing the speech track and, in stronger attacks, regenerating mouth motion to match the forged utter…
EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models
Junyu Wang, Siyuan Zhang, Peiyuan Jiang +11
Despite significant advances in instruction-following and auditory comprehension, the evaluation of Emotional Intelligence (EI) in Spoken Language Models (SLMs) remains confined to…
GigaSpeechBench: A Real-World Multilingual Speech-to-Text Benchmark
Yujie Tu, Yifan Yang, Tianrui Wang +35
While modern ASR systems achieve low error rates on high-resource benchmarks, such performance often overestimates real-world robustness. Existing evaluations address challenges in…
EChO-Agent: Evidence Chain Orchestration Agent for Audio Reasoning
Siyuan Zhang, Jian Zong, Junyu Wang +7
While LALMs show promise on audio question answering, they fail to focus on question-relevant segments of audio and provide a clear, checkable reasoning process when dealing with c…
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…
Audio Imitator: Controlling Timbre and Tempo in Video2Audio Synthesis with Audio Reference
Jiahui Zhao, Tianrui Wang, Chunyu Qiang +4
Video-to-audio generation has made significant progress in achieving semantic consistency and temporal alignment from silent videos. However, audio contains rich stylistic attribut…
CECOR: Correction-oriented synthetic data construction for factual error correction
Lei Zhu, Xiaobao Wang, Jianbiao Yang +4
Factual Error Correction (FEC) aims to revise inaccurate text into statements that are factually consistent with external evidence. Although recent methods perform well on single-h…
Separate First, Fuse Later: Mitigating Cross-Modal Interference in Audio-Visual LLMs Reasoning with Modality-Specific Chain-of-Thought
Xuanchen Li, Yuheng Lu, Chenrui Cui +6
Audio and vision provide complementary evidence for audio-visual question answering, yet current audio-visual large language models may suffer from cross-modal interference: inform…
Evaluating the Expressive Appropriateness of Speech in Rich Contexts
Tianrui Wang, Ziyang Ma, Yizhou Peng +26
Evaluating expressive speech remains challenging, as existing methods mainly assess emotional intensity and overlook whether a speech sample is expressively appropriate for its con…
UniSonate: A Unified Model for Speech, Music, and Sound Effect Generation with Text Instructions
Chunyu Qiang, Xiaopeng Wang, Kang Yin +11
Generative audio modeling has largely been fragmented into specialized tasks, text-to-speech (TTS), text-to-music (TTM), and text-to-audio (TTA), each operating under heterogeneous…
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…