Model-based speech enhancement using a bone-conducted signal

P Kechichian, S. Srinivasan

Research output: Contribution to journalArticleAcademicpeer-review

8 Citations (Scopus)

Abstract

Codebook-based single-microphone noise suppressors, which exploit prior knowledge about speech and noise statistics, provide better performance in nonstationary noise. However, as the enhancement involves a joint optimization over speech and noise codebooks, this results in high computational complexity. A codebook-based method is proposed that uses a reference signal observed by a bone-conduction microphone, and a mapping between air- and bone-conduction codebook entries generated during an offline training phase. A smaller subset of air-conducted speech codebook entries that accurately models the clean speech signal is selected using this reference signal. Experiments support the expected improvement in performance at low computational complexity
Original languageEnglish
Pages (from-to)EL262-EL267
Number of pages6
JournalJournal of the Acoustical Society of America
Volume131
Issue number3
DOIs
Publication statusPublished - 2012

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