Usable speech processing: A filterless approach in the presence of interference

Brett Y. Smolenski, Ravi P. Ramachandran

Research output: Contribution to journalArticlepeer-review

18 Scopus citations


A speech signal is commonly corrupted by non-stationary interference in different environments. The interference distributes itself nonuniformly over the temporal regions of the signal. This makes certain segments more speech dominant and hence, usable for speech processing applications like speaker identification and speech recognition. The main part of this paper examines the detection of usable segments in a co-channel environment having two interfering speakers. A method based on determining the Target-to-Interferer Ratio to detect the usable portions in which one speaker is very dominant over the other is discussed. A short discussion of additive noise distortion follows. Experimental results are presented.

Original languageEnglish (US)
Article number5871482
Pages (from-to)8-22
Number of pages15
JournalIEEE Circuits and Systems Magazine
Issue number2
StatePublished - Jun 2011

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering


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