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http://hdl.handle.net/10603/304783
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DC Field | Value | Language |
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dc.coverage.spatial | Electronics and Telecommunication | |
dc.date.accessioned | 2020-10-29T08:46:34Z | - |
dc.date.available | 2020-10-29T08:46:34Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/304783 | - |
dc.description.abstract | The 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.format.extent | all pages | |
dc.language | English | |
dc.relation | ||
dc.rights | self | |
dc.title | Multilingual Speech Processing For Multilingual Speaker Identification | |
dc.title.alternative | MULTILINGUAL SPEECH PROCESSING FOR MULTILINGUAL SPEAKER IDENTIFICATION | |
dc.creator.researcher | Jain, Vinay Kumar | |
dc.subject.keyword | Engineering | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Engineering Electrical and Electronic | |
dc.subject.keyword | Vocal ensembles with electronics | |
dc.description.note | ||
dc.contributor.guide | Tripathi, Neeta | |
dc.publisher.place | Bhilai | |
dc.publisher.university | Chhattisgarh Swami Vivekanand Technical University | |
dc.publisher.institution | Department of Electronics and Telecommunication | |
dc.date.registered | 2014 | |
dc.date.completed | 2019 | |
dc.date.awarded | 2019 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Electronics and Telecommunication |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 55.38 kB | Adobe PDF | View/Open |
02_certificate.pdf | 302.41 kB | Adobe PDF | View/Open | |
03_preliminary pages.pdf | 901.78 kB | Adobe PDF | View/Open | |
04_chapter 1.pdf | 189.34 kB | Adobe PDF | View/Open | |
05_chapter 2.pdf | 178.18 kB | Adobe PDF | View/Open | |
06_chapter 3.pdf | 354.07 kB | Adobe PDF | View/Open | |
07_chapter 4.pdf | 551.59 kB | Adobe PDF | View/Open | |
08_chapter 5.pdf | 1.42 MB | Adobe PDF | View/Open | |
09_chapter 6.pdf | 119.97 kB | Adobe PDF | View/Open | |
11_references.pdf | 150.47 kB | Adobe PDF | View/Open | |
13_annexure.pdf | 1.4 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 123.19 kB | Adobe PDF | View/Open |
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