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20242026
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cs.SD2026

The ICASSP 2026 HumDial Challenge: Benchmarking Human-like Spoken Dialogue Systems in the LLM Era

Zhixian Zhao, Shuiyuan Wang, Guojian Li +12

Driven by the rapid advancement of Large Language Models (LLMs), particularly Audio-LLMs and Omni-models, spoken dialogue systems have evolved significantly, progressively narrowin…

cs.SD2026

WenetSpeech-Wu: Datasets, Benchmarks, and Models for a Unified Chinese Wu Dialect Speech Processing Ecosystem

Chengyou Wang, Mingchen Shao, Jingbin Hu +11

Speech processing for low-resource dialects remains a fundamental challenge in developing inclusive and robust speech technologies. Despite its linguistic significance and large sp…

cs.SD2025

The CCF AATC 2025 Speech Restoration Challenge: A Retrospective

Junan Zhang, Mengyao Zhu, Xin Xu +3

Real-world speech communication is rarely affected by a single type of degradation. Instead, it suffers from a complex interplay of acoustic interference, codec compression, and, i…

cs.SD2025

TTA-Bench: A Comprehensive Benchmark for Evaluating Text-to-Audio Models

Hui Wang, Cheng Liu, Junyang Chen +7

Text-to-Audio (TTA) generation has made rapid progress, but current evaluation methods remain narrow, focusing mainly on perceptual quality while overlooking robustness, generaliza…

cs.SD2025

AISHELL-5: The First Open-Source In-Car Multi-Channel Multi-Speaker Speech Dataset for Automatic Speech Diarization and Recognition

Yuhang Dai, He Wang, Xingchen Li +8

This paper delineates AISHELL-5, the first open-source in-car multi-channel multi-speaker Mandarin automatic speech recognition (ASR) dataset. AISHLL-5 includes two parts: (1) over…

cs.SD2025

MusicEval: A Generative Music Dataset with Expert Ratings for Automatic Text-to-Music Evaluation

Cheng Liu, Hui Wang, Jinghua Zhao +6

The technology for generating music from textual descriptions has seen rapid advancements. However, evaluating text-to-music (TTM) systems remains a significant challenge, primaril…