Speech-in-noise intelligibility improvement based on spectral shaping and dynamic range compression

2012 ◽  
Author(s):  
Tudor-Catalin Zorila ◽  
Varvara Kandia ◽  
Yannis Stylianou
Keyword(s):  
Dynamic Range ◽  
Spectral Shaping ◽  
Speech In Noise ◽  
Dynamic Range Compression

Measuring the Long-Term SNRs of Static and Adaptive Compression Amplification Techniques for Speech in Noise

2013 ◽  
Vol 24 (08) ◽  
pp. 671-683 ◽  
Author(s):  
Ying-Hui Lai ◽  
Pei-Chun Li ◽  
Kuen-Shian Tsai ◽  
Woei-Chyn Chu ◽  
Shuenn-Tsong Young
Keyword(s):  
Hearing Loss ◽  
High Frequency ◽  
Dynamic Range ◽  
Wide Dynamic Range ◽  
High Frequency Hearing Loss ◽  
Digital Hearing Aids ◽  
Speech In Noise ◽  
Dynamic Range Compression ◽  
Adaptive Compression

Background: Multichannel wide-dynamic-range compression (WDRC) is a widely adopted amplification scheme in modern digital hearing aids. It attempts to provide individuals with loudness recruitment with superior speech intelligibility and greater listening comfort over a wider range of input levels. However, recent surveys have shown that compression processing (operating in the nonlinear regime) usually reduces the long-term signal-to-noise ratio (SNR). Purpose: The purpose of this study was to determine the long-term SNR in an adaptive compression-ratio (CR) amplification scheme called adaptive wide-dynamic-range compression (AWDRC), and to determine whether this concept is better than static WDRC amplification at improving the long-term SNR for speech in noise. Design and Study Sample: AWDRC uses the input short-term dynamic range to adjust the CR to maximize audibility and comfort. Various methods for evaluating the long-term SNR were used to observe the relationship between the CR and output SNR performance in AWDRC for seven typical audiograms, and to compare the results with those for static WDRC amplification. Results: The results showed that the variation of the CR in AWDRC amplification can maintain the comfort and audibility of the output sound. In addition, the average long-term SNR improved by 0.1–5.5 dB for a flat hearing loss, by 0.2–3.4 dB for a reverse sloping hearing loss, by 1.4–4.8 dB for a high-frequency hearing loss, and by 0.3–5.7 dB for a mild-to-moderate-sloping high-frequency hearing loss relative to static WDRC amplification. The output long-term SNR differed significantly (p < .001) between static WDRC and AWDRC amplification. Conclusions: The results of this study show that AWDRC, which uses the characteristics of the input signal to adaptively adjust the CR, provides better long-term SNR performance than static WDRC amplification.

Implantable hearing interfaces

2018 ◽  
Author(s):  
Torsten Lehmann ◽  
André van Schaik
Keyword(s):  
Cochlear Implants ◽  
Neural Activity ◽  
Dynamic Range ◽  
Systems Design ◽  
Fundamental Operation ◽  
Profound Hearing Loss ◽  
Biomedical Implant ◽  
Dynamic Range Compression ◽  
Hearing Function ◽  
Key Aspects

The chapter Implantable hearing interfaces describes the fundamental operation of a commonly available biohybrid system, the cochlear implant, or bionic ear. This neuro-stimulating biomedical implant is very successful in restoring hearing function to people with profound hearing loss. The fundamental operation of the biological cochlea is described and parallels are drawn between key aspects of the biological system and the biohybrid implementation: dynamic range compression, translation of sound to neural activity, and tonotopic mapping. Critical considerations are discussed for simultaneously meeting biological, surgical, and engineering restrictions in successful biohybrid systems design. Finally, challenges in present and future cochlear implants are outlined and directions of current research given.

A Modified Multi Scale Retinex with Color Restoration Algorithm for Automatic Enhancement of Landsat-5 Remote Sensing Image

2011 ◽  
Vol 341-342 ◽  
pp. 893-897
Author(s):  
Gui Zhou Wang ◽  
Guo Jin He
Keyword(s):  
Image Enhancement ◽  
Dynamic Range ◽  
Color Constancy ◽  
Human Perception ◽  
Histogram Equalization ◽  
Image Processing Algorithm ◽  
Multi Scale ◽  
Dynamic Range Compression ◽  
Restoration Algorithm ◽  
Color Restoration

The retinex is a human perception based image processing algorithm which provides color constancy and dynamic range compression. The multi scale retinex with color restoration (MSRCR) has shown itself to be a very versatile automatic image enhancement algorithm that simultaneously provides dynamic range compression, color constancy, and color rendition. But the MSRCR results suffer from lower global brightness and partial color distortion. In order to improve the MSRCR method, this paper presents a modified MSRCR algorithm to Landsat-5 image enhancement considering percent liner stretch and histogram adjustment. Finally, the effect of modified MSRCR method on Landsat-5 image enhancement is analyzed and the comparison with other color adjustment methods such as gamma correction and histogram equalization is reported in the experimental results.

Nonlinear optical dynamic range compression with thin-film organic photorefractive material

2009 ◽  
Author(s):  
Bahareh Haji-saeed ◽  
Jed Khoury ◽  
Charles L. Woods ◽  
John Kierstead ◽  
Nasser Peyghambarian
Keyword(s):  
Thin Film ◽  
Nonlinear Optical ◽  
Dynamic Range ◽  
Dynamic Range Compression ◽  
Photorefractive Material

Audio Dynamic Range Compression

2007 ◽  
pp. 199-221
Author(s):  
Mark Kolber ◽  
Daniel Lee
Keyword(s):  
Dynamic Range ◽  
Dynamic Range Compression

scholarly journals Dynamic Range Compression for Extrapolation of Image Morphing

2014 ◽  
Vol 80 (12) ◽  
pp. 1206-1212
Author(s):  
Yosuke NAGASAKA ◽  
Takuma FUNAHASHI ◽  
Hiroyasu KOSHIMIZU
Keyword(s):  
Dynamic Range ◽  
Image Morphing ◽  
Dynamic Range Compression
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