Recent Advancements in Speech Enhancement

نویسندگان

  • Yariv Ephraim
  • Israel Cohen
چکیده

Speech enhancement is a long standing problem with numerous applications ranging from hearing aids, to coding and automatic recognition of speech signals. In this survey paper we focus on enhancement from a single microphone, and assume that the noise is additive and statistically independent of the signal. We present the principles that guide researchers working in this area, and provide a detailed design example. The example focuses on minimum mean square error estimation of the clean signal’s log-spectral magnitude. This approach has attracted significant attention in the past twenty years. We also describe the principles of a Monte-Carlo simulation approach for speech enhancement.

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تاریخ انتشار 2004