数据采集与处理2017，Vol.32Issue(6)：1069-1081,13.DOI:10.16337/j.1004-9037.2017.06.001
语音去混响技术的研究进展与展望
Speech Dereverberation :Review of State-of-the-Arts and Prospects
摘要
Abstract
Speech interaction technology is becoming increasingly popular in practical voice-driven applica-tions .However ,due to the inferences caused by reverberation in real-world environments ,the perform-ances of speech interaction in the distant-talking condition are far from being satisfactory .Decades of ef-forts are devoted to solving the reverberation problem and spawning a vast variety of practical methods . Recently ,the deep learning technique ,which is developing rapidly and has greatly reshaped the speech processing community ,also acquires remarkable performance in speech dereverberation . However ,a systematic analysis and summary of the inherent relationship between the recent deep learning based methods and the previous classical methods is rarely seen .As such ,we give a comprehensive overview of the current and past development of single channel speech dereverberation .Then ,the main challenges are discussed .Finally ,we share some views of its future development .关键词
语音去混响/语音交互/深度学习Key words
speech dereverberation/speech interaction/deep learning分类
信息技术与安全科学引用本文复制引用
张雄伟,李轶南,郑昌艳,曹铁勇,孙蒙,闵刚..语音去混响技术的研究进展与展望[J].数据采集与处理,2017,32(6):1069-1081,13.基金项目
国家自然科学基金(61471394,61402519,61701535)资助项目 （61471394,61402519,61701535）
江苏省自然科学基金(BK20140071,BK20140074)资助项目. （BK20140071,BK20140074）
