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Speaker change detection for conversational speech using synthesized voice embedding

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dc.contributor.author Krishnathasan, M
dc.contributor.author Amalraj, CRJ
dc.contributor.editor Sudantha, BH
dc.date.accessioned 2022-11-18T06:38:04Z
dc.date.available 2022-11-18T06:38:04Z
dc.date.issued 2019-12
dc.identifier.citation M. Krishnathasan and C. R. J. Amalraj, "Speaker Change Detection for Conversational Speech using Synthesized Voice Embedding," 2019 4th International Conference on Information Technology Research (ICITR), 2019, pp. 1-5, doi: 10.1109/ICITR49409.2019.9407791. en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/19564
dc.description.abstract Speaker change detection is a prominent area of research in voice tasks for many years but used in very limited areas. Speech segmentation, feature extraction, and classification techniques are used as pipeline modules to detect speaker change in speech signals like conversations. This paper provides an approach to detect speaker changes in a conversational speech. Along with that, this paper demonstrates experiments on various sub modules and hyper parameters in the proposed pipeline. en_US
dc.language.iso en en_US
dc.publisher Information Technology Research Unit, Faculty of Information Technology, University of Moratuwa, Sri Lanka en_US
dc.relation.uri https://ieeexplore.ieee.org/document/9407791/ en_US
dc.subject Speaker Change Detection en_US
dc.subject Voice Clustering en_US
dc.subject Machine learning en_US
dc.title Speaker change detection for conversational speech using synthesized voice embedding en_US
dc.type Conference-Full-text en_US
dc.identifier.faculty IT en_US
dc.identifier.department Information Technology Research Unit, Faculty of Information Technology, University of Moratuwa. en_US
dc.identifier.year 2019 en_US
dc.identifier.conference 4th International Conference in Information Technology Research 2019 en_US
dc.identifier.place Colombo,Sri Lanka en_US
dc.identifier.proceeding Proceedings of the 4th International Conference in Information Technology Research 2019 en_US
dc.identifier.doi doi: 10.1109/ICITR49409.2019.9407791 en_US


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    International Conference on Information Technology Research (ICITR)

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