Paper Info
Title
Novel Binaural Spectro-temporal Algorithm for Speech Enhancement in Low SNR Environments
Abstract
A novel BInaural Spectro-Temporal (BIST) algorithm is proposed in this paper to increase the speech intelligibility in low or negative SNR noisy environments. The BIST algorithm consists of two modules. One is the spatial mask for receiving sound from the specific direction, and the other is the spectro-temporal modulation filter for noise reduction. Most speech enhancement algorithms are not applicable in harsh environments because the energy of speech is covered by the noise. To increase the speech intelligibility in low or negative SNR noisy environments, a distinctive approach is proposed to solve this problem. First, the BIST algorithm takes binaural auditory processing as a spatial mask to separate the speech and noise according to their locations. Next, the modulation filter is applied to reduce the noise source in the scale-rate (spectro-temporal modulation) domain according to their different acoustic feature. It works like the spectro-temporal receptive field (STRF) which is the perception response of human auditory cortex. The experimental results demonstrate that the proposed BIST speech enhancement algorithm can improve 20% from the noisy speech at SNR-10dB.
Year
DOI
Venue
2012
10.1109/ICME.2012.40
ICME
Keywords
Field
DocType
noisy environments,low snr,bist algorithm,low snr environments,spectro-temporal modulation,speech intelligibility,speech enhancement algorithm,modulation,proposed bist speech enhancement,binaural processing,spectro-temporal receptive field,spatial mask,binaural auditory processing,noise reduction,snr noisy environments,spectro-temporal modulation filter,human auditory cortex,negative snr noisy environment,novel binaural spectro-temporal algorithm,interference suppression,binaural spectro-temporal algorithm,modulation filter,noisy speech,speech enhancement,noise source,cochleagram,noise measurement,speech,noise,acoustics
Noise reduction,Speech enhancement,Speech processing,Noise measurement,Computer science,Modulation,Artificial intelligence,Intelligibility (communication),Pattern recognition,Voice activity detection,Algorithm,Speech recognition,Binaural recording
Conference
ISSN
ISBN
Citations 
1945-7871
978-1-4673-1659-0
0
PageRank 
References 
Authors
0.34
8
4
Name
Order
Citations
PageRank
Po-Hsun Sung111.16
Bo-Wei Chen226230.12
Ling-Sheng Jang323.89
Jhing-fa Wang4982114.31