arXiv:2502.09037eess.AS2025-02中稿 · ICASSP 2025被引 29

综述麦克风阵列与多通道语音增强的演进,聚焦降噪与清晰度提升。

Advances in Microphone Array Processing and Multichannel Speech Enhancement

  • 梳理麦克风阵列设计与优化的奠基性成果
  • 展示深度学习赋能的全神经波束成形技术进展
  • 适合语音处理、智能设备研发人员参考

本文回顾了麦克风阵列处理与多通道语音增强领域的开创性工作,重点分析历史成就、技术演进、商业化进程及核心挑战。文章系统梳理了麦克风阵列设计与优化的基础进展,展示了显著提升噪声与混响环境下语音可懂度的技术创新。随后介绍近期前沿研究,特别是深度学习方法在全神经波束成形中的集成应用。探讨关键应用场景的演进与当前最先进技术,揭示其对用户体验的重大影响。最后提出未来研究方向,识别潜在挑战与解决方案,以推动该领域持续创新。本文通过全面综述与前瞻视角,旨在激励持续研究,促进麦克风阵列与多通道语音增强的长期发展。

原文摘要 · Abstract (English)

This paper reviews pioneering works in microphone array processing and multichannel speech enhancement, highlighting historical achievements, technological evolution, commercialization aspects, and key challenges. It provides valuable insights into the progression and future direction of these areas. The paper examines foundational developments in microphone array design and optimization, showcasing innovations that improved sound acquisition and enhanced speech intelligibility in noisy and reverberant environments. It then introduces recent advancements and cutting-edge research in the field, particularly the integration of deep learning techniques such as all-neural beamformers. The paper also explores critical applications, discussing their evolution and current state-of-the-art technologies that significantly impact user experience. Finally, the paper outlines future research directions, identifying challenges and potential solutions that could drive further innovation in these fields. By providing a comprehensive overview and forward-looking perspective, this paper aims to inspire ongoing research and contribute to the sustained growth and development of microphone arrays and multichannel speech enhancement.

语音增强麦克风阵列深度学习波束成形

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