File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Multidimensional acoustic analysis for voice quality assessment based on the GRBAS scale

TitleMultidimensional acoustic analysis for voice quality assessment based on the GRBAS scale
Authors
Issue Date2014
PublisherIEEE. The Journal's web site is located at https://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1002193
Citation
Proceedings of the 9th International Symposium on Chinese Spoken Language Processing, Singapore, 12-14 September 2014, p. 321-325 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/260892

 

DC FieldValueLanguage
dc.contributor.authorYu, P-
dc.contributor.authorWang, Z-
dc.contributor.authorLiu, S-
dc.contributor.authorYan, N-
dc.contributor.authorWang, L-
dc.contributor.authorNg, ML-
dc.date.accessioned2018-09-14T08:49:06Z-
dc.date.available2018-09-14T08:49:06Z-
dc.date.issued2014-
dc.identifier.citationProceedings of the 9th International Symposium on Chinese Spoken Language Processing, Singapore, 12-14 September 2014, p. 321-325-
dc.identifier.urihttp://hdl.handle.net/10722/260892-
dc.languageeng-
dc.publisherIEEE. The Journal's web site is located at https://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1002193-
dc.relation.ispartofInternational Symposium on Chinese Spoken Language Processing Proceedings-
dc.rightsInternational Symposium on Chinese Spoken Language Processing Proceedings. Copyright © IEEE.-
dc.rights©2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.titleMultidimensional acoustic analysis for voice quality assessment based on the GRBAS scale-
dc.typeConference_Paper-
dc.identifier.emailNg, ML: manwa@hku.hk-
dc.identifier.authorityNg, ML=rp00942-
dc.identifier.doi10.1109/ISCSLP.2014.6936628-
dc.identifier.hkuros290504-
dc.identifier.spage321-
dc.identifier.epage325-
dc.publisher.placeUnited States-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats