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分布式麦克风阵列拾音理论与应用方法综述

张结 呼德 张晓雷 凌震华

数据采集与处理2024,Vol.39Issue(5):1085-1113,29.
数据采集与处理2024,Vol.39Issue(5):1085-1113,29.DOI:10.16337/j.1004-9037.2024.05.004

分布式麦克风阵列拾音理论与应用方法综述

A Survey on Sound Acquisition Theories and Application Methods of Distributed Microphone Arrays

张结 1呼德 2张晓雷 3凌震华1

作者信息

  • 1. 中国科学技术大学信息科学技术学院,合肥 230027
  • 2. 内蒙古大学计算机学院,呼和浩特 010021
  • 3. 西北工业大学航海学院,西安 710072
  • 折叠

摘要

Abstract

Over the past few decades of development,microphone array technology is becoming more mature,which has been applied to various human-machine interaction systems,e.g.,video-conferencing,intelligent television,mobile telephony,hearing aids.However,in realistic noisy or distant interaction scenarios,the sound acquisition quality(SAQ)of conventional topology-constrained microphone arrays cannot be guaranteed.With the wide range of using wireless intelligent terminal devices,distributed microphone array(DMA)or so-called wireless acoustic sensor network(WASN)provides more possibilities of improving the SAQ for speech interaction systems in complex and open domains,and shows a superiority in array organization,application experience and scene coverage.Recently,DMA exhibits a good applicable potential in many speech interaction tasks,which almost cover the tasks that conventional microphone array can handle.This survey will mainly summarize some existing important sound acquisition theories and application methods of DMA,including principles of array organization,utility evaluation of microphone nodes and the application methods in combination of downstream speech tasks.Finally,we will briefly discuss some key challenges and developing trends of the road of DMA to practical usages.

关键词

分布式麦克风阵列/无线声传感器网络/麦克风效用/语音交互/拾音质量

Key words

distributed microphone array/wireless acoustic sensor network/microphone utility/speech interaction/sound acquisition quality

分类

信息技术与安全科学

引用本文复制引用

张结,呼德,张晓雷,凌震华..分布式麦克风阵列拾音理论与应用方法综述[J].数据采集与处理,2024,39(5):1085-1113,29.

基金项目

国家自然科学基金(62101523,62201297,62361045,62176211). (62101523,62201297,62361045,62176211)

数据采集与处理

OA北大核心CSTPCD

1004-9037

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