Spectral Multi-scale Product Analysis for Pitch Estimation from Noisy Speech Signal

2010 ◽  
pp. 95-102 ◽  
Author(s):  
Mohamed Anouar Ben Messaoud ◽  
Aïcha Bouzid ◽  
Noureddine Ellouze
Keyword(s):  
Speech Signal ◽  
Product Analysis ◽  
Pitch Estimation ◽  
Noisy Speech ◽  
Multi Scale

Nonlinear modeling and filtering by RBF network with application to noisy speech signal

1997 ◽  
Vol 101 (3-4) ◽  
pp. 177-185 ◽  
Author(s):  
Eiji Uchino ◽  
Shin Nakamura ◽  
Takeshi Yamakawa
Keyword(s):  
Speech Signal ◽  
Nonlinear Modeling ◽  
Noisy Speech ◽  
Rbf Network

scholarly journals Enhancement of the perceptive quality of the noisy speech signal by using of DFF-FBC algorithm

2009 ◽  
Vol 22 (3) ◽  
pp. 391-404
Author(s):  
Zoran Milivojevic ◽  
Dragisa Balaneskovic
Keyword(s):  
Speech Signal ◽  
Mean Opinion Score ◽  
Signal Quality ◽  
Test Results ◽  
Frequency Filtering ◽  
Noisy Speech ◽  
Voice Signal ◽  
Opinion Score

This paper presents an algorithm for enhancement of the noisy speech signal quality. This algorithm is based on the dissonant frequency filtering (DFF), F#, B and C# in relation to the frequency of the primary tone C (DFF-FBC algorithm). By means of the subjective Mean Opinion Score (MOS) test, the effect of the enhancement of the speech signal quality was analyzed. The analysis of the MOS test results, presented in the second part of this paper, points out to the enhancement of the noisy speech signal quality in the presence of superimposed noises. Especially good results have been found with Husky Voice signal. .

Multiple comb filters and autocorrelation of the multi-scale product for multi-pitch estimation

2017 ◽  
Vol 120 ◽  
pp. 45-53 ◽  
Author(s):  
Jihen Zeremdini ◽  
Mohamed Anouar Ben Messaoud ◽  
Aicha Bouzid
Keyword(s):  
Pitch Estimation ◽  
Multi Scale ◽  
Comb Filters
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