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Advanced front-end for robust speech recognition in extremely adverse environments

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dc.contributor.author Dimitriadis, D en
dc.contributor.author Segura, JC en
dc.contributor.author Garcia, L en
dc.contributor.author Potamianos, A en
dc.contributor.author Maragos, P en
dc.contributor.author Pitsikalis, V en
dc.date.accessioned 2014-03-01T02:44:25Z
dc.date.available 2014-03-01T02:44:25Z
dc.date.issued 2007 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/31815
dc.relation.uri http://www.scopus.com/inward/record.url?eid=2-s2.0-56149121417&partnerID=40&md5=2365354c3801c3b3075fed110101be2a en
dc.relation.uri http://www.telecom.tuc.gr/%7Epotam/preprints/conf/07_intespeech_HAFE.pdf en
dc.relation.uri http://cvsp.cs.ntua.gr/projects/pub/HIWIRE/HiwirePublications/DMSP_HAFE_ASR_Interspeech07.pdf en
dc.relation.uri http://www.isca-speech.org/archive/interspeech_2007/i07_2425.html en
dc.relation.uri http://www.informatik.uni-trier.de/~ley/db/conf/interspeech/interspeech2007.html#DimitriadisSGPMP07 en
dc.subject Noise invariant features en
dc.subject Noise suppression en
dc.subject Nonlinear features en
dc.subject Parameter equalization en
dc.subject Speech recognition en
dc.subject.other Feature extraction en
dc.subject.other Modulation en
dc.subject.other Speech en
dc.subject.other Speech analysis en
dc.subject.other Speech enhancement en
dc.subject.other Speech recognition en
dc.subject.other Activity detections en
dc.subject.other Adverse environments en
dc.subject.other Error rate reductions en
dc.subject.other Feature normalizations en
dc.subject.other Fractal features en
dc.subject.other Frontend en
dc.subject.other Invariant features en
dc.subject.other Noise invariant features en
dc.subject.other Noise suppression en
dc.subject.other Nonlinear features en
dc.subject.other Nonlinear modulations en
dc.subject.other Parameter equalization en
dc.subject.other Processing modules en
dc.subject.other Recognition rates en
dc.subject.other Robust speech recognitions en
dc.subject.other Unified approaches en
dc.subject.other Wiener filtering en
dc.subject.other Speech communication en
dc.title Advanced front-end for robust speech recognition in extremely adverse environments en
heal.type conferenceItem en
heal.publicationDate 2007 en
heal.abstract In this paper, a unified approach to speech enhancement, feature extraction and feature normalization for speech recognition in adverse recording conditions is presented. The proposed frontend system consists of several different, independent, processing modules. Each of the algorithms contained in these modules has been independently applied to the problem of speech recognition in noise, significantly improving the recognition rates. In this work, these algorithms are merged in a single front-end and their combined performance is demonstrated. Specifically, the proposed advanced front-end extracts noise-invariant features via the following modules: Wiener filtering, voice-activity detection, robust feature extraction (nonlinear modulation or fractal features), parameter equalization and frame-dropping. The advanced front-end is applied to extremely adverse environments where most feature extraction schemes fail. We show that by combining speech enhancement, robust feature extraction and feature normalization up to a fivefold error rate reduction can be achieved for certain tasks. en
heal.journalName International Speech Communication Association - 8th Annual Conference of the International Speech Communication Association, Interspeech 2007 en
dc.identifier.volume 3 en
dc.identifier.spage 2221 en
dc.identifier.epage 2224 en


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