Use of a sigmoidal-shaped function for noise attenuation in cochlear implants

A new noise reduction algorithm is proposed for cochlear implants that applies attenuation to the noisy envelopes inversely proportional to the estimated signal-to-noise ratio (SNR) in each channel. The performance of the proposed noise reduction algorithm is evaluated with nine Clarion CII cochlear...

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Published inThe Journal of the Acoustical Society of America Vol. 122; no. 4; pp. EL128 - EL134
Main Authors Hu, Yi, Loizou, Philipos C., Li, Ning, Kasturi, Kalyan
Format Journal Article
LanguageEnglish
Published Woodbury, NY Acoustical Society of America 01.10.2007
American Institute of Physics
Subjects
Algorithms
Auditory Threshold
Biological and medical sciences
Cochlear Implants
Humans
Investigative techniques, diagnostic techniques (general aspects)
Medical sciences
Miscellaneous. Technology
Noise
Perceptual Masking
Phonetics
Prosthesis Design
Sound Spectrography
Speech Discrimination Tests
Speech Perception
Ultrasonic investigative techniques
Human
Prosthesis
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Abstract A new noise reduction algorithm is proposed for cochlear implants that applies attenuation to the noisy envelopes inversely proportional to the estimated signal-to-noise ratio (SNR) in each channel. The performance of the proposed noise reduction algorithm is evaluated with nine Clarion CII cochlear implant patients using IEEE sentences embedded in multi-talker babble and speech-shaped noise at 0 - 10 dB SNR. Results indicate that the sigmoidal-shaped weighting function produces significant improvements to speech recognition compared to the subjects' daily strategy. Much of the success of the proposed noise reduction algorithm is attributed to the improved temporal envelope contrast.
AbstractList A new noise reduction algorithm is proposed for cochlear implants that applies attenuation to the noisy envelopes inversely proportional to the estimated signal-to-noise ratio (SNR) in each channel. The performance of the proposed noise reduction algorithm is evaluated with nine Clarion CII cochlear implant patients using IEEE sentences embedded in multi-talker babble and speech-shaped noise at 0-10 dB SNR. Results indicate that the sigmoidal-shaped weighting function produces significant improvements to speech recognition compared to the subjects' daily strategy. Much of the success of the proposed noise reduction algorithm is attributed to the improved temporal envelope contrast.A new noise reduction algorithm is proposed for cochlear implants that applies attenuation to the noisy envelopes inversely proportional to the estimated signal-to-noise ratio (SNR) in each channel. The performance of the proposed noise reduction algorithm is evaluated with nine Clarion CII cochlear implant patients using IEEE sentences embedded in multi-talker babble and speech-shaped noise at 0-10 dB SNR. Results indicate that the sigmoidal-shaped weighting function produces significant improvements to speech recognition compared to the subjects' daily strategy. Much of the success of the proposed noise reduction algorithm is attributed to the improved temporal envelope contrast.
A new noise reduction algorithm is proposed for cochlear implants that applies attenuation to the noisy envelopes inversely proportional to the estimated signal-to-noise ratio (SNR) in each channel. The performance of the proposed noise reduction algorithm is evaluated with nine Clarion CII cochlear implant patients using IEEE sentences embedded in multi-talker babble and speech-shaped noise at 0 - 10 dB SNR. Results indicate that the sigmoidal-shaped weighting function produces significant improvements to speech recognition compared to the subjects' daily strategy. Much of the success of the proposed noise reduction algorithm is attributed to the improved temporal envelope contrast.
A new noise reduction algorithm is proposed for cochlear implants that applies attenuation to the noisy envelopes inversely proportional to the estimated signal-to-noise ratio (SNR) in each channel. The performance of the proposed noise reduction algorithm is evaluated with nine Clarion CII cochlear implant patients using IEEE sentences embedded in multi-talker babble and speech-shaped noise at 0-10 dB SNR. Results indicate that the sigmoidal-shaped weighting function produces significant improvements to speech recognition compared to the subjects' daily strategy. Much of the success of the proposed noise reduction algorithm is attributed to the improved temporal envelope contrast.
A new noise reduction algorithm is proposed for cochlear implants that applies attenuation to the noisy envelopes inversely proportional to the estimated signal-to-noise ratio (SNR) in each channel. The performance of the proposed noise reduction algorithm is evaluated with nine Clarion CII cochlear implant patients using IEEE sentences embedded in multi-talker babble and speech-shaped noise at 0–10dB SNR. Results indicate that the sigmoidal-shaped weighting function produces significant improvements to speech recognition compared to the subjects’ daily strategy. Much of the success of the proposed noise reduction algorithm is attributed to the improved temporal envelope contrast.
Author Li, Ning
Kasturi, Kalyan
Hu, Yi
Loizou, Philipos C.
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SubjectTerms Algorithms
Auditory Threshold
Biological and medical sciences
Cochlear Implants
Humans
Investigative techniques, diagnostic techniques (general aspects)
Medical sciences
Miscellaneous. Technology
Noise
Perceptual Masking
Phonetics
Prosthesis Design
Sound Spectrography
Speech Discrimination Tests
Speech Perception
Ultrasonic investigative techniques
Title Use of a sigmoidal-shaped function for noise attenuation in cochlear implants
URI http://dx.doi.org/10.1121/1.2772401
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