dc.creatorRAMIREZ, Miguel Arjona
dc.date.accessioned2012-10-19T01:46:20Z
dc.date.accessioned2018-07-04T14:51:34Z
dc.date.available2012-10-19T01:46:20Z
dc.date.available2018-07-04T14:51:34Z
dc.date.created2012-10-19T01:46:20Z
dc.date.issued2009
dc.identifier2009 16TH INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING, VOLS 1 AND 2, p.423-427, 2009
dc.identifier978-1-4244-3297-4
dc.identifierhttp://producao.usp.br/handle/BDPI/18638
dc.identifierhttp://apps.isiknowledge.com/InboundService.do?Func=Frame&product=WOS&action=retrieve&SrcApp=EndNote&UT=000276494500071&Init=Yes&SrcAuth=ResearchSoft&mode=FullRecord
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1615430
dc.description.abstractThe canonical representation of speech constitutes a perfect reconstruction (PR) analysis-synthesis system. Its parameters are the autoregressive (AR) model coefficients, the pitch period and the voiced and unvoiced components of the excitation represented as transform coefficients. Each set of parameters may be operated on independently. A time-frequency unvoiced excitation (TFUNEX) model is proposed that has high time resolution and selective frequency resolution. Improved time-frequency fit is obtained by using for antialiasing cancellation the clustering of pitch-synchronous transform tracks defined in the modulation transform domain. The TFUNEX model delivers high-quality speech while compressing the unvoiced excitation representation about 13 times over its raw transform coefficient representation for wideband speech.
dc.languageeng
dc.publisherIEEE
dc.relation2009 16th International Conference on Digital Signal Processing, Vols 1 and 2
dc.rightsCopyright IEEE
dc.rightsrestrictedAccess
dc.subjectspeech analysis
dc.subjectspeech coding
dc.subjectscalable coding
dc.subjectmodulation transform
dc.subjecttime-frequency analysis
dc.titleMODELING THE UNVOICED COMPONENT IN THE CANONICAL REPRESENTATION OF SPEECH
dc.typeArtículos de revistas


Este ítem pertenece a la siguiente institución