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» In-vehicle Noise and Enhanced Speech Intelligibility
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TASLP
2010
84views more  TASLP 2010»
12 years 11 months ago
Improving Speech Intelligibility in Noise Using Environment-Optimized Algorithms
While most speech enhancement algorithms improve speech quality, they may not improve speech intelligibility in noise. This paper focuses on the development of an algorithm that ca...
Gibak Kim, Philipos C. Loizou
ICONIP
2004
13 years 5 months ago
In-vehicle Noise and Enhanced Speech Intelligibility
In-Car speech recognition will be pervasive over the coming years. The goal of speech enhancement is to increase the quality and intelligibility of speech in a noisy environment. T...
Akbar Ghobakhlou, Richard Kilgour
SPEECH
2011
12 years 11 months ago
SNR loss: A new objective measure for predicting the intelligibility of noise-suppressed speech
Most of the existing intelligibility measures do not account for the distortions present in processed speech, such as those introduced by speech-enhancement algorithms. In the pre...
Jianfen Ma, Philipos C. Loizou
ICASSP
2011
IEEE
12 years 8 months ago
Spectral magnitude minimum mean-square error binary masks for DFT based speech enhancement
Originally, ideal binary mask (idbm) techniques have been used as a tool for studying aspects of the auditory system. More recently, idbm techniques have been adapted to the pract...
Jesper Jensen, Richard C. Hendriks
ICASSP
2009
IEEE
13 years 11 months ago
On the use of Bayesian modeling for predicting noise reduction performance
In speech enhancement applications, a validated metric of noise reduction performance is vital in the relative ranking of noise reduction algorithms and in enhancing the performan...
Nazanin Pourmand, David Suelzle, Vijay Parsa, Yi H...