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2013 (Vol. 6, Issue: 06)
Article Information:

Speech Enhancement with Geometric Advent of Spectral Subtraction using Connected Time-Frequency Regions Noise Estimation

Nasir Saleem, Sher Ali, Usman Khan and Farman Ullah
Corresponding Author:  Nasir Saleem 

Key words:  Frequency connected regions, FwSNRseg, MCRA, PESQ, speech enhancement, spectral subtraction, WSS
Vol. 6 , (06): 1081-1087
Submitted Accepted Published
October 31, 2012 December 28, 2012 June 30, 2013
Abstract:

Speech enhancement with Geometric Advent of Spectral subtraction using connected time-frequency regions noise estimation aims to de-noise or reduce background noise from the noisy speech for better quality, pleasantness and improved intelligibility. Numerous enhancement methods are proposed including spectral subtraction, subspace, statistical with different noise estimations. The traditional spectral subtraction techniques are reasonably simple to implement and suffer from musical noise. This study addresses the new approach for speech enhancement which has minimized the insufficiencies in traditional spectral subtraction algorithms using MCRA. This approach with noise estimation has been evolved with PESQ, the ITU-T standard; Frequency weighted segmental SNR and weighted spectral slope. The analysis shows that Geometric approach with time-frequency connected regions has improved results than old-fashioned spectral subtraction algorithms. The normal hearing tests has suggested that new approach has lower audible musical noise.
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  Cite this Reference:
Nasir Saleem, Sher Ali, Usman Khan and Farman Ullah, 2013. Speech Enhancement with Geometric Advent of Spectral Subtraction using Connected Time-Frequency Regions Noise Estimation.  Research Journal of Applied Sciences, Engineering and Technology, 6(06): 1081-1087.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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