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Towards general auditory intelligence for machine listening and speaking

Research Multimodal & Generative

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TL;DR - Wang et al. review progress toward general-purpose auditory intelligence spanning machine listening, speaking, speech interaction, and audio–visual understanding. The work highlights the convergence of these capabilities into more unified AI systems.

  • Covers advances in both audio perception and speech generation.
  • Examines speech-based human–machine interaction.
  • Includes audio–visual understanding as a cross-modal capability.
  • The provided abstract does not specify architectures, benchmarks, or quantitative results.

Sources (1)

Towards general auditory intelligence for machine listening and speaking

Nature Machine Intelligence Siyin Wang, Zengrui Jin, Changli Tang, Qiujia Li, Bo Li, Chen Chen, Yuchen Hu, Wenyi Yu, Yixuan Li, Jimin Zhuang, Yudong Yang, Mingqiu Wang, Michael Han, Yifan Ding, Junwen Bai, Tom Ouyang, Shuo-yiin Chang, Xianzhao Chen, Xiaohai Tian, Jun Zhang, Lu Lu, Guangzhi Sun, Zhehuai Chen, Ji Wu, Bowen Zhou, Yuxuan Wang, Tara Sainath, Yonghui Wu, Chao Zhang 2026-08-14 doi:10.1038/s42256-026-01281-1
Public signals OpenAlex citations 0
Providers: Hugging Face · N/A OpenAlex · Citations 0 Publisher · N/A Semantic Scholar · N/A X · N/A Fetched 2026-09-12 14:26:55.082845 UTC

TL;DR - Wang et al. review progress toward general-purpose auditory intelligence spanning machine listening, speaking, speech interaction, and audio–visual understanding. The work highlights the convergence of these capabilities into more unified AI systems.

  • Covers advances in both audio perception and speech generation.
  • Examines speech-based human–machine interaction.
  • Includes audio–visual understanding as a cross-modal capability.
  • The provided abstract does not specify architectures, benchmarks, or quantitative results.
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