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eess.AS2026

GigaSpeechBench: A Real-World Multilingual Speech-to-Text Benchmark

Yujie Tu, Yifan Yang, Tianrui Wang +36

While modern ASR systems achieve low error rates on high-resource benchmarks, such performance often overestimates real-world robustness. Existing evaluations address challenges in…

eess.AS2026

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…

eess.AS2026

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…

eess.AS2026

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…

eess.AS2026

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…

eess.AS2026

Efficient Emotion and Speaker Adaptation in LLM-Based TTS via Characteristic-Specific Partial Fine-Tuning

Tianrui Wang, Meng Ge, Cheng Gong +11

While LLM-based TTS models exhibit zero-shot emotion and speaker cloning, their cloning fidelity and pronunciation clarity degrade on unseen domains. Fine-tuning is essential for a…