Paper Info
Title
A speech enhancement method for cochlear implant listeners.
Abstract
This paper discusses a single-channel speech enhancement method for cochlear implant listeners. It is assumed that the Fourier Transform coefficients of speech and background noise have different statistical distributions. A statistical-model-based method is adopted to update the signal-to-noise ratio and estimate the background noise so that the musical noise and speech distortion induced by traditional spectral subtraction method can be effectively reduced. This enhancement method was evaluated on seven postlingually deaf Chinese cochlear implant listeners in comparison with other two speech enhancement methods. Test materials were Mandarin sentences corrupted by three different types of background noise. Experimental results showed that the proposed speech enhancement method could benefit the speech intelligibility of Chinese cochlear implant listeners. The results suggest that different noise types may affect the performance of different speech enhancement algorithms.
Year
DOI
Venue
2013
10.1109/EMBC.2013.6609931
EMBC
Keywords
Field
DocType
statistical-model-based method,statistical distributions,cochlear implants,fourier transform coefficients,mandarin sentences,speech intelligibility,fourier transforms,statistical analysis,signal-noise ratio,post lingual deaf chinese cochlear implant listeners,test materials,musical noise,background noise,single-channel speech enhancement method,speech enhancement,traditional spectral subtraction method,speech distortion,noise measurement,signal noise ratio,speech,signal to noise ratio
SPEECH DISTORTION,Speech enhancement,Spectral subtraction,Background noise,Computer science,Speech recognition,Cochlear implant,Audiology,Mandarin Chinese,Intelligibility (communication),Statistical analysis
Conference
Volume
Issue
ISSN
2013
null
1557-170X
Citations 
PageRank 
References 
0
0.34
4
Authors
4
Name
Order
Citations
PageRank
Meng Yuan1174.91
Yang Sun25412.13
Haihong Feng301.35
Tan Lee447674.69