Publication - Enhancing Speech Recognition performance in the presence of MRI scanner noise
RESEARCH

Enhancing Speech Recognition performance in the presence of MRI scanner noise

Research Area:  
    
Type:  
Journal article

 

Year: 2010
Authors: Theologos Athanaselis; Stylianos Bakamidis; Ioannis Dologlou; Stavroula-Evita Fotinea
Journal: International Journal of Signal and Imaging Systems Engineering (IJSISE)
Volume: 3
Number: 3
Pages: 179-187
DOI: 10.1504/IJSISE.2010.036890
Abstract:
In this paper, two well-known speech enhancement techniques are compared in a Magnetic Resonance Imaging (MRI) scanner noise reduction scheme prior to speech recognition experiment. Our study deals with the comparison between the Non Linear Spectral Subtraction (NSS) with iterative overestimation and the Singular Value Decomposition (SVD)-based noise reduction techniques in enhancing medical content speech contaminated by MRI scanner noise. It is proven experimentally that both techniques can improve the recognition performance of voice commands in order to voice control a MRI scanner. Making one step ahead, the paper further investigates the performance of both signal enhancement techniques in the recognition of speech utterances with medical information. The recognition results show that each technique improved the recognition accuracy as it was expected, but the NSS outperformed SVD.
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