数据采集与处理2024，Vol.39Issue(5)：1044-1061,18.DOI:10.16337/j.1004-9037.2024.05.002
多说话人分离与目标说话人提取的研究现状与展望
Research Situation and Prospects of Multi-speaker Separation and Target Speaker Extraction
摘要
Abstract
As a cutting-edge technology in speech signal processing,speech separation has significant research value and broad application prospects.Typically,the signal captured by the microphones contains speech signals from multiple speakers,noise and reverberation.To improve the user experience and the performance of backend devices,it is necessary to perform speech separation.Speech separation originated from the well-known cocktail party problem.It aims to separate the speech signals from the mixed signal.In recent years,researchers have proposed a large number of speech separation methods,which have significantly improved separation performance.This paper systematically reviews and summarizes these methods.First,based on whether the auxiliary information of the target speaker is leveraged,speech separation is divided into two categories,i.e.,multi-speaker separation and target speaker extraction.Second,these methods are introduced in detail,following the progression from conventional approaches to deep learning-based techniques.Finally,the existing challenges in speech separation are discussed and prospective research in the future are highlighted.关键词
语音分离/鸡尾酒会问题/多说话人分离/目标说话人提取/深度学习Key words
speech separation/cocktail party problem/multi-speaker separation/target speaker extraction/deep learning分类
信息技术与安全科学引用本文复制引用
鲍长春,杨雪..多说话人分离与目标说话人提取的研究现状与展望[J].数据采集与处理,2024,39(5):1044-1061,18.基金项目
国家自然科学基金(61831019). （61831019）
