A comparison of auditory and blind separation techniques for speech segregation.pdf

A comparison of auditory and blind separation techniques for speech segregation.pdf

  1. 1、本文档共7页,可阅读全部内容。
  2. 2、有哪些信誉好的足球投注网站(book118)网站文档一经付费(服务费),不意味着购买了该文档的版权,仅供个人/单位学习、研究之用,不得用于商业用途,未经授权,严禁复制、发行、汇编、翻译或者网络传播等,侵权必究。
  3. 3、本站所有内容均由合作方或网友上传,本站不对文档的完整性、权威性及其观点立场正确性做任何保证或承诺!文档内容仅供研究参考,付费前请自行鉴别。如您付费,意味着您自己接受本站规则且自行承担风险,本站不退款、不进行额外附加服务;查看《如何避免下载的几个坑》。如果您已付费下载过本站文档,您可以点击 这里二次下载
  4. 4、如文档侵犯商业秘密、侵犯著作权、侵犯人身权等,请点击“版权申诉”(推荐),也可以打举报电话:400-050-0827(电话支持时间:9:00-18:30)。
查看更多
A comparison of auditory and blind separation techniques for speech segregation

IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, VOL. 9, NO. 3, MARCH 2001 189 A Comparison of Auditory and Blind Separation Techniques for Speech Segregation André J. W. van der Kouwe, Member, IEEE, DeLiang Wang, Member, IEEE, and Guy J. Brown Abstract—A fundamental problem in auditory and speech pro- cessing is the segregation of speech from concurrent sounds. This problem has been a focus of study in computational auditory scene analysis (CASA), and it has also been recently investigated from the perspective of blind source separation. Using a standard corpus of voiced speech mixed with interfering sounds, we report a compar- ison between CASA and blind source separation techniques, which have been developed independently. Our comparison reveals that they perform well under very different conditions. A number of conclusions are drawn with respect to their relative strengths and weaknesses in speech segregation applications as well as in mod- eling auditory function. Index Terms—Auditory scene analysis, blind source separation, computational auditory scene analysis (CASA), oscillatory corre- lation, speech segregation. I. INTRODUCTION H UMAN listeners exhibit a remarkable ability to segregate the voice of a single speaker from a mixture of other in- truding sounds. This phenomenon may be regarded as one as- pect of a more general process of auditory organization, which is able to untangle an acoustic mixture in order to retrieve a percep- tual description of each constituent sound source. The term au- ditory scene analysis (ASA) has been introduced to describe this process [4]. Conceptually, ASA may be regarded as having two stages. In the first stage, the acoustic mixture is decomposed into sensory elements (“segments”). The second stage (“grouping”) then combines segments that are likely to have originated from the same sound source. Recently, attempts to develop computational systems that mimic ASA have led to the emergence of a new field, known as computation

文档评论(0)

l215322 + 关注
实名认证
内容提供者

该用户很懒,什么也没介绍

1亿VIP精品文档

相关文档