Dual-channel spectral subtraction algorithms based speech enhancement dedicated to a bilateral cochlear implant

2012 ◽  
Vol 73 (1) ◽  
pp. 12-20 ◽  
Author(s):  
Fathi Kallel ◽  
Mondher Frikha ◽  
Mohamed Ghorbel ◽  
Ahmed Ben Hamida ◽  
Christian Berger-Vachon
Keyword(s):  
Cochlear Implant ◽  
Speech Enhancement ◽  
Spectral Subtraction ◽  
Dual Channel ◽  
Bilateral Cochlear Implant

scholarly journals Speech intelligibility enhancement for Thai-speaking cochlear implant listeners

2019 ◽  
Vol 13 (3) ◽  
pp. 866
Author(s):  
Siriporn Dachasilaruk ◽  
Niphat Jantharamin ◽  
Apichai Rungruang
Keyword(s):  
Cochlear Implant ◽  
Speech Enhancement ◽  
Speech Intelligibility ◽  
English Language ◽  
Single Channel ◽  
Spectral Subtraction ◽  
Monosyllabic Words ◽  
Listening Environments ◽  
Babble Noise ◽  
Vocoded Speech

Cochlear implant (CI) listeners encounter difficulties in communicating with other persons in noisy listening environments. However, most CI research has been carried out using the English language. In this study, single-channel speech enhancement (SE) strategies as a pre-processing approach for the CI system were investigated in terms of Thai speech intelligibility improvement. Two SE algorithms, namely multi-band spectral subtraction (MBSS) and Weiner filter (WF) algorithms, were evaluated. Speech signals consisting of monosyllabic and bisyllabic Thai words were degraded by speech-shaped noise and babble noise at SNR levels of 0, 5, and 10 dB. Then the noisy words were enhanced using SE algorithms. The enhanced words were fed into the CI system to synthesize vocoded speech. The vocoded speech was presented to twenty normal-hearing listeners. The results indicated that speech intelligibility was marginally improved by the MBSS algorithm and significantly improved by the WF algorithm in some conditions. The enhanced bisyllabic words showed a noticeably higher intelligibility improvement than the enhanced monosyllabic words in all conditions, particularly in speech-shaped noise. Such outcomes may be beneficial to Thai-speaking CI listeners.

A noise cross PSD estimator based on improved minimum statistics method for two-microphone speech enhancement dedicated to a bilateral cochlear implant

2012 ◽  
Vol 73 (3) ◽  
pp. 256-264 ◽  
Author(s):  
Fathi Kallel ◽  
Mohamed Ghorbel ◽  
Mondher Frikha ◽  
Christian Berger-Vachon ◽  
Ahmed Ben Hamida
Keyword(s):  
Cochlear Implant ◽  
Speech Enhancement ◽  
Bilateral Cochlear Implant ◽  
Minimum Statistics

scholarly journals GUI Based Execution of Discourse Upgrade System

2019 ◽  
Vol 8 (6S3) ◽  
pp. 2151-2155
Keyword(s):  
Mean Square Error ◽  
Speech Enhancement ◽  
Minimum Mean Square Error ◽  
Spectral Subtraction ◽  
Mean Square

Discourse, being a key method for correspondence, has been inserted in different applications. In numerous unavoidable circumstances, we are rendered vulnerable attempting to conclude the understandability of the discourse and this is the place Speech improving strategy i.e. evacuation of undesirable foundation commotion, comes into picture. In this paper, an endeavor has been made towards contemplating Speech Enhancement methods, for example, Spectral Subtraction, Minimum Mean Square Error (MMSE), Kalman and Wiener channel. In view of our perceptions and investigation of different execution parameters, we finish up which of the strategies is most reasonable for discourse improvement. The usage of the code for different channels is finished utilizing.

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