Multilingual Speech Processing For Multilingual Speaker Identification

dc.contributor.guideTripathi, Neeta
dc.coverage.spatialElectronics and Telecommunication
dc.creator.researcherJain, Vinay Kumar
dc.date.accessioned2020-10-29T08:46:34Z
dc.date.available2020-10-29T08:46:34Z
dc.date.awarded2019
dc.date.completed2019
dc.date.registered2014
dc.description.abstractThe Multilingual Speech Processing is the field of speech technology in which the speech signal of multiple languages of a speaker has analyzes to observe the effect of the language on the speech features. On the basis of observation a Multilingual Speaker Identification system can be design for identification of the speaker in multilingual environments. The identity of a multilingual speaker can be determined from the information contained in the Multilanguage speech signal through speaker identification. The Multilingual Speaker identification is concerned with identifying unknown speakers from a speech database of multilingual speaker models previously enrolled in the system. The demand for multilingual speaker identification system increases for countries like India where many people are able to speak more than one language. Multilingual speech processing for multilingual speaker identification is a field of research in speech signal processing and speaker identification which comes together many techniques developed for multilingual speaker identification in single language environment with new approaches that convert it to the multilingual environment In Multilingual Speech Processing for Multilingual Speaker Identification are covered in two sections first is Processing and second one is Identification. In Processing, various features of the Multilingual speech signal has analyzed where as in Identification unknown speaker will be identify through the speech signal from a speech database of multilingual speaker. A text dependent Multilingual speaker identification i.e. speaker will have to speak predefined sentences for identification has been designed. newlineFor Present study Multilingual Speech Processing database of different speakers has been recorded in three Indian languages, i.e. Hindi , Marathi, and Rajasthani .The sentences consist of consonants, i.e. Cha , Sha and Jha . Total numbers of speakers involved are 50 including males and females. The basic features of the speech signal: Pitch and first th
dc.description.note
dc.format.accompanyingmaterialDVD
dc.format.dimensions
dc.format.extentall pages
dc.identifier.urihttp://hdl.handle.net/10603/304783
dc.languageEnglish
dc.publisher.institutionDepartment of Electronics and Telecommunication
dc.publisher.placeBhilai
dc.publisher.universityChhattisgarh Swami Vivekanand Technical University
dc.relation
dc.rightsself
dc.source.universityUniversity
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.subject.keywordVocal ensembles with electronics
dc.titleMultilingual Speech Processing For Multilingual Speaker Identification
dc.title.alternativeMULTILINGUAL SPEECH PROCESSING FOR MULTILINGUAL SPEAKER IDENTIFICATION
dc.type.degreePh.D.

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