Paper Info
Title
Model Based Estimation of STP Parameters for Binaural Speech Enhancement.
Abstract
This paper deals with the estimation of the short-term predictor (STP) parameters of speech and noise in a binaural framework. A binaural model based approach is proposed for estimating the power spectral density (PSD) of speech and noise at the individual ears for an arbitrary position of the speech source. The estimated PSDs can be subsequently used for enhancement in a binaural framework. The experimental results show that taking into account the position of the speech source using the proposed method leads to improved modelling and enhancement of the noisy speech.
Year
DOI
Venue
2018
10.23919/EUSIPCO.2018.8553145
European Signal Processing Conference
Keywords
Field
DocType
autoregressive modelling,binaural speech enhancement
Speech enhancement,Speech coding,Noise measurement,Computer science,Maximum likelihood,Speech recognition,Spectral density,Binaural recording
Conference
ISSN
Citations 
PageRank 
2076-1465
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Mathew Shaji Kavalekalam143.44
Jesper Kjær Nielsen25713.07
Mads Grísbøll Christensen376176.48
Jesper Bünsow Boldt494.09