SPEECH UNDERSTANDING IN NOISE PROVIDED BY A SIMULATED COCHLEAR IMPLANT PROCESSOR BASED ON MATCHING PURSUIT

被引：0

作者：

Kressner, Abigail A. ^{[1
]}

Rozell, Christopher J. ^{[1
]}

机构：

[1] Georgia Inst Technol, Sch Elect & Comp Engn, Atlanta, GA 30332 USA

来源：

2013 IEEE WORKSHOP ON APPLICATIONS OF SIGNAL PROCESSING TO AUDIO AND ACOUSTICS (WASPAA) | 2013年

关键词：

Cochlear implant; speech coding; sparse coding; matching pursuit (MP); continuous interleaved sampling (CIS); normalized covariance metric (NCM); RECOGNITION;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

Speech reception is poor for cochlear implant recipients in listening environments with interfering noise. This study investigates the speech understanding provided in interfering noise by a coding strategy based on the sparse approximation algorithm matching pursuit (MP) and additionally proposes two modifications to the strategy. The levels of spectral information provided by the MP strategy and the modified MP strategy are compared to that of continuous interleaved sampling (CIS) and a strategy based on the ideal binary mask (IBM) using vocoded speech and the normalized covariance metric (NCM). We demonstrate objective intelligibility improvements in quiet, and total and partial objective intelligibility restoration in steady-state and fluctuating noise, respectively.

引用

页数：4

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