Denoising in the Domain of Spectrotemporal Modulations. (15th November 2007)

• Record Type: Journal Article
• Authors: Mesgarani, Nima; Shamma, Shihab
• Other Names: Chan Wai-Yip Geoffrey Academic Editor.
• Is Part Of: EURASIP journal on audio, speech, and music processing. Volume 2007(2007)
• Publication Date: 2007-11-15
• Subjects: Sound -- Recording and reproducing -- Digital techniques -- Periodicals; Computer sound processing -- Periodicals; Computer sound processing; Sound -- Recording and reproducing -- Digital techniques; Periodicals; Electronic journal; Electronic journals; 620.2
• DOI: 10.1155/2007/42357
• Languages: English
• ISSNs: 1687-4714

Abstract

Abstract : A noise suppression algorithm is proposed based on filtering the spectrotemporal modulations of noisy signals. The modulations are estimated from a multiscale representation of the signal spectrogram generated by a model of sound processing in the auditory system. A significant advantage of this method is its ability to suppress noise that has distinctive modulation patterns, despite being spectrally overlapping with the signal. The performance of the algorithm is evaluated using subjective and objective tests with contaminated speech signals and compared to traditional Wiener filtering method. The results demonstrate the efficacy of the spectrotemporal filtering approach in the conditions examined.