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Power Spectral Density Error Analysis of Spectral Subtraction Type of Speech Enhancement Methods
Signal Processing Lab, School of Electrical Engineering, Royal Institute of Technology, Stockholm, Sweden.
2007 (English)In: EURASIP Journal on Advances in Signal Processing, ISSN 1687-6172, E-ISSN 1687-6180, no 96384Article in journal (Refereed) Published
Abstract [en]

A theoretical framework for analysis of speech enhancement algorithms is introduced for performance assessment of spectral subtraction type of methods. The quality of the enhanced speech is related to physical quantities of the speech and noise (such as stationarity time and spectral flatness), as well as to design variables of the noise suppressor. The derived theoretical results are compared with the outcome of subjective listening tests as well as successful design strategies, performed by independent research groups.

Place, publisher, year, edition, pages
2007. no 96384
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
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URN: urn:nbn:se:hig:diva-2375DOI: 10.1155/2007/96384ISI: 000244760300001OAI: oai:DiVA.org:hig-2375DiVA, id: diva2:119037
Available from: 2007-03-02 Created: 2007-03-02 Last updated: 2018-03-13Bibliographically approved

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Händel, Peter

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