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

Brett Y. Smolenski, Ravi P. Ramachandran

    Research output: Contribution to journalArticlepeer-review

    17 Scopus citations

    Abstract

    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
    Volume11
    Issue number2
    DOIs
    StatePublished - Jun 2011

    All Science Journal Classification (ASJC) codes

    • Computer Science Applications
    • Electrical and Electronic Engineering

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