"Acoustical Intelligence in the Wild: Advancing Acoustic Signal Understanding in Open Environments"

CFP
Journal
online
SUBMISSION DEADLINE
31/05/2027
JOURNAL
Computer Speech & Language
PUBLISHER
Elsevier
GUEST EDITORS
Kele Xu, Boqing Zhu, Qian Kun, Zixing Zhang
POSTED ON
08/05/2026

DETAILS

Call for Papers-"Acoustical Intelligence in the Wild: Advancing Acoustic Signal Understanding in Open Environments"


Journal: Computer Speech & Language

Publisher: Elsevier

Submission Deadline: 31 May 2027

Submission Portal

Article Type

Author Guidelines

Editorial Manager

"VSI: Acoustical Intelligence in the Wild"

Guide for Authors

Key Requirements:

  • Continual/Life-long Learning for dynamic acoustic environments

  • Transition from static inference to dynamic adaptation

  • Edge deployment, privacy-preserving solutions


Overview

State-of-the-art speech/audio models fail in real-world dynamic environments. Seeks solutions for "living" acoustic systems that incrementally learn new patterns (OOD data, novel sounds, non-stationary noise) without catastrophic forgetting—critical for voice assistants, environmental monitoring, adaptive hearing aids.

Key Research Themes

  • Class-Incremental Learning: New sound events/spoken languages

  • Online Domain Adaptation: Speech enhancement in non-stationary noise

  • Catastrophic Forgetting Mitigation: Large-scale audio pre-trained models

  • Open-set Detection: Active learning for unlabeled acoustic streams

  • Memory-efficient CL: Edge audio devices

  • Privacy-preserving LL: Personalized speech interfaces

Submission Details

  • Opens: 15 April 2026

  • Closes: 31 May 2027

  • MANDATORY: Select "VSI: Acoustical Intelligence in the Wild"

  • Acceptance: 30 June 2027

Guest Editor Team

Why This Issue Matters

Bridges continual ML + audio processing gap. Enables acoustic systems that evolve with real-world soundscapes vs. static lab models. Foundation for next-gen always-learning audio AI.

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