Title :
A comparative study on single-channel noise estimation methods for speech enhancement
Author :
Veisi, H. ; Sameti, Hossein
Author_Institution :
Dept. of Comput. Eng., Sharif Univ. of Technol., Tehran, Iran
Abstract :
This paper studies a number of well-known noise estimation techniques and provides a comparative performance analysis of them in speech enhancement platform. Two types of evaluation data that simulate consistent and inconsistent noisy conditions are prepared in the presence of six noise types at different SNR levels. The performance of speech enhancement systems and the spectrum distance of the estimated and original noise spectrums are used as evaluation criteria. The evaluations indicate that a simple VAD method outperforms noise estimation methods in most of the consistent noisy conditions.
Keywords :
estimation theory; speech enhancement; SNR level; VAD method; noise spectrum; single-channel noise estimation; spectrum distance; speech enhancement; voice activity detection; Decision support systems; Intelligent systems; Signal to noise ratio; VAD; minimal tracking; minimum controlled recursive average; noise estimation; speech enhancement;
Conference_Titel :
Intelligent Systems Design and Applications (ISDA), 2012 12th International Conference on
Conference_Location :
Kochi
Print_ISBN :
978-1-4673-5117-1
DOI :
10.1109/ISDA.2012.6416613