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dc.contributor.authorSo, Stephen
dc.contributor.authorPaliwal, Kuldip K
dc.contributor.editorTan, ZH
dc.contributor.editorLindberg, B
dc.date.accessioned2017-05-03T13:01:27Z
dc.date.available2017-05-03T13:01:27Z
dc.date.issued2008
dc.date.modified2011-05-13T06:54:58Z
dc.identifier.isbn978-1-84800-142-8
dc.identifier.doi10.1007/978-1-84800-143-5_7
dc.identifier.urihttp://hdl.handle.net/10072/21968
dc.description.abstractIn this chapter, we describe various schemes for quantizing speech features to be used in distributed speech recognition (DSR) systems. We analyze the statistical properties of Mel frequency-warped cepstral coefficients (MFCCs) that are most relevant to quantization, namely the correlation and probability density function shape, in order to determine the type of quantization scheme that would be most suitable for quantizing them efficiently. We also determine empirically the relationship between mean squared error and recognition accuracy in order to verify that quantization schemes, which minimize mean squared error, are also guaranteed to improve the recognition performance. Furthermore, we highlight the importance of noise robustness in DSR and describe the use of a perceptually weighted distance measure to enhance spectral peaks in vector quantization. Finally, we present some experimental results on the quantization schemes in a DSR framework and compare their relative recognition performances.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherSpringer
dc.publisher.placeLondon
dc.publisher.urihttps://www.springer.com/gp/book/9781848001428
dc.relation.ispartofbooktitleAutomatic Speech Recognition on Mobile Devices and over Communication Networks
dc.relation.ispartofchapter7
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom131
dc.relation.ispartofpageto161
dc.rights.retentionY
dc.subject.fieldofresearchcode280206
dc.subject.fieldofresearchcode280204
dc.titleQuantization of Speech Features: Source Coding
dc.typeBook chapter
dc.type.descriptionB1 - Chapters
dc.type.codeB - Book Chapters
gro.facultyGriffith Sciences, Griffith School of Engineering
gro.date.issued2008
gro.hasfulltextNo Full Text
gro.griffith.authorPaliwal, Kuldip K.
gro.griffith.authorSo, Stephen


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