Title :
A new approach based on SVD for speech enhancement
Author :
Ghasemi, Jamal ; Mollaei, M. R Karami
Author_Institution :
Fac. of Electr. & Comput. Eng., Babol Univ. of Technol., Babol, Iran
Abstract :
In this paper, a new and quick method is introduced for speech enhancement. The base or basic of this method is due to filtering the singular value which is obtained from SVD. The efficiency of the proposed methods is its strong capability and the speed of in reduction the noise effect and also does not have the typical “musical tone”, which is usually present in other noise reduction methods. The signals to be experimented are combined with an additive white Gaussian noise for a variety of Signal to Noise Ratio (SNR). These methods will be evaluated in SNR optimization and mean opinion score, which led to remarkable results.
Keywords :
AWGN; singular value decomposition; speech enhancement; SVD; additive white Gaussian noise; noise reduction; signal to noise ratio; singular value filtering; speech enhancement; Matrix decomposition; Noise reduction; Signal to noise ratio; Speech; Speech enhancement; Enhancement; Singular Value Decomposition; Speech processing;
Conference_Titel :
Signal Processing and its Applications (CSPA), 2011 IEEE 7th International Colloquium on
Conference_Location :
Penang
Print_ISBN :
978-1-61284-414-5
DOI :
10.1109/CSPA.2011.5759905
