Publication - Robust Speech Recognition in the presence of noise using medical data

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Robust Speech Recognition in the presence of noise using medical data

Research Area:  
    
Type:  
In Proceedings

 

Year: 2008
Authors: Theologos Athanaselis; Stylianos Bakamidis; G. Giannopoulos; Ioannis Dologlou; Stavroula-Evita Fotinea
Book title: Proceedings of the IEEE International Workshop on Imaging systems and techniques (IST)
Pages: 349-353
Address: Chania, Greece
Date: September
ISBN: 978-1-4244-2497-9
Abstract:
This paper discusses the improvement of speech recognition in the presence of noise, when a parametric method of signal enhancement is used. The speech enhancement method improves the performance of voice control MRI. This is important since errors in the presence of noise are more frequent and tend to make applications, such as spoken dialogue systems, too cumbersome to use. The input signal is corrupted with MRI noise with varying signal-to-noise ratio. A non-linear spectral subtraction method (NSS) as well as an SVD based noise reduction techniques (ISE) are used in conjunction with the Speech Recognition system of the FAST project, to quantify the impact of speech enhancement.
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