Noise Power Estimation Based on the Probability of Speech Presence
2011 (English)In: Proceedings IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2011, 145-148 p.Conference paper (Refereed)
In this paper, we analyze the minimum mean square error (MMSE) based spectral noise power estimator  and present an improve-ment. We will show that the MMSE based spectral noise powerestimate is only updated when the a posteriori signal-to-noise ratio (SNR) is lower than one. This threshold on the a posteriori SNRcan be interpreted as a voice activity detector (VAD).We propose in this work to replace the hard decision of theVAD by a soft speech presence probability (SPP). We show thatby doing so, the proposed estimator does not require a bias cor-rection and safety-net as is required by the MMSE estimator pre-sented in . At the same time, the proposed estimator maintainsthe quick noise tracking capability which is characteristic for theMMSE noise tracker, results in less noise power overestimation andis computationally less expensive.
Place, publisher, year, edition, pages
2011. 145-148 p.
Research subject SRA - ICT
IdentifiersURN: urn:nbn:se:kth:diva-42717ISI: 000298302900037ScopusID: 2-s2.0-83455170765OAI: oai:DiVA.org:kth-42717DiVA: diva2:447538
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics
QC 201110142011-10-122011-10-122012-04-03Bibliographically approved