Structural processing methods for speech signal analysis

dc.contributor.guide	Das, Pradip K
dc.coverage.spatial	Computer Science and Engineering
dc.creator.researcher	Bhagath, Parabattina
dc.date.accessioned	2022-11-29T12:56:09Z
dc.date.available	2022-11-29T12:56:09Z
dc.date.awarded	2020
dc.date.completed	2020
dc.date.registered	2014
dc.description.abstract	Speech signal analysis is a crucial study that helps to develop methods for problems like phoneme segmentation speech recognition speaker verification etc There are various frameworks and techniques that support these problems Frameworks like Hidden Markov Modeling and Deep Learning are popular The frameworks are efficient with large data sets where intensive training is possible However this becomes challenging in case of underresourced language since sufficient data cannot be provided...
dc.description.note	Not Available
dc.format.accompanyingmaterial	None
dc.format.dimensions	Not Available
dc.format.extent	Not Available
dc.identifier.uri	http://hdl.handle.net/10603/421155
dc.language	English
dc.publisher.institution	Department of Computer Science and Engineering
dc.publisher.place	Guwahati
dc.publisher.university	Indian Institute of Technology Guwahati
dc.relation	Not Available
dc.rights	self
dc.source.university	University
dc.subject.keyword	Computer Science
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Telecommunications
dc.title	Structural processing methods for speech signal analysis
dc.title.alternative	Not available
dc.type.degree	Ph.D.