Blind speech dereverberation,as a crucial research topic in the field of speech signal processing,has widespread applications in various domains including communication,human-computer interaction,artificial intelligence,biomedical engineering,and consumer electronics.Based on whether the sound source is known,blind speech dereverberation primarily employs two approaches:blind deconvolution of the received signal when the source is unknown,or blind pre-compensation of the source signal when it is known.This paper provides a comprehensive review of the development and research achievements in this field,offering an in-depth analysis and discussion of the technology's application prospects,main research methods,significant findings,and existing challenges.By doing so,it lays a foundation for further in-depth research in this area.
Blind dereverberationBlind SIMO identificationKalman filterSpeech signal
万方数据
维普
