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Kalman tracking linear predictor for vowel intelligibility enhancement on european portuguese HMM based speech synthesis

dc.contributor.authorCoelho, Luís
dc.contributor.authorBraga, Daniela
dc.contributor.authorGarcia-Mateo, Carmen
dc.date.accessioned2016-02-05T13:01:55Z
dc.date.available2016-02-05T13:01:55Z
dc.date.issued2010
dc.description.abstractThe recent developments on Hidden Markov Models (HMM) based speech synthesis showed that this is a promising technology fully capable of competing with other established techniques. However some issues still lack a solution. Several authors report an over-smoothing phenomenon on both time and frequencies which decreases naturalness and sometimes intelligibility. In this work we present a new vowel intelligibility enhancement algorithm that uses a discrete Kalman filter (DKF) for tracking frame based parameters. The inter-frame correlations are modelled by an autoregressive structure which provides an underlying time frame dependency and can improve time-frequency resolution. The system’s performance has been evaluated using objective and subjective tests and the proposed methodology has led to improved results.pt_PT
dc.identifier.citationCoelho, L., Braga, D., & Garcia-Mateo, C. (2010). Kalman tracking linear predictor for vowel intelligibility enhancement on european portuguese HMM based speech synthesis. 2010 IEEE International Conference on Acoustics, Speech and Signal Processing. Institute of Electrical & Electronics Engineers (IEEE). http://doi.org/10.1109/icassp.2010.5495168
dc.identifier.doi10.1109/ICASSP.2010.5495168pt_PT
dc.identifier.isbn978-1-4244-4296-6
dc.identifier.issn1520-6149
dc.identifier.urihttp://hdl.handle.net/10400.22/7636
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.subjectKalman filteringpt_PT
dc.subjectSpeech intelligibilitypt_PT
dc.titleKalman tracking linear predictor for vowel intelligibility enhancement on european portuguese HMM based speech synthesispt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceDallas, Texas, United Statespt_PT
oaire.citation.endPage4737pt_PT
oaire.citation.startPage4734pt_PT
oaire.citation.titleInternational Conference on Acoustics Speech and Signal Processingpt_PT
person.familyNameCoelho
person.givenNameLuís
person.identifier.orcid0000-0001-7123-0450
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication7927657d-8c14-4754-bde9-e5b6d45b8435
relation.isAuthorOfPublication.latestForDiscovery7927657d-8c14-4754-bde9-e5b6d45b8435

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