Short Utterance PLDA Speaker Verification using SN-WLDA and Variance Modelling Techniques
| dc.contributor.author | Ahilan, K. | |
| dc.contributor.author | Dean, D. | |
| dc.contributor.author | Sridharan, S. | |
| dc.date.accessioned | 2021-03-15T05:17:20Z | |
| dc.date.accessioned | 2022-06-27T10:02:19Z | |
| dc.date.available | 2021-03-15T05:17:20Z | |
| dc.date.available | 2022-06-27T10:02:19Z | |
| dc.date.issued | 2014 | |
| dc.description.abstract | This paper proposes a combination of source-normalized weighted linear discriminant analysis (SN-WLDA) and short utterance variance (SUV) PLDA modelling to improve the short utterance PLDA speaker verification. As short-length utterance i-vectors vary with the speaker, session variations and phonetic content of the utterance (utterance variation), a combined approach of SN-WLDA projection and SUV PLDA modelling is used to compensate the session and utterance variations. Experimental studies have found that a combination of SNWLDA and SUV PLDA modelling approach shows an improvement over baseline system (WCCN[LDA]-projected Gaussian PLDA (GPLDA)) as this approach effectively compensates the session and utterance variations. | en_US |
| dc.identifier.citation | Kanagasundaram, A., Dean, D., & Sridharan, S. (2014). Short utterance PLDA speaker verification using SN-WLDA and variance modelling techniques. In Proceedings of the 15th Australasian International Conference on Speech Science and Technology (SST 2014) (pp. 155-158). New Zealand Institute of Language, Brain and Behaviour (NZILBB). | en_US |
| dc.identifier.uri | http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/1863 | |
| dc.language.iso | en | en_US |
| dc.subject | speaker verification | en_US |
| dc.subject | session variation | en_US |
| dc.title | Short Utterance PLDA Speaker Verification using SN-WLDA and Variance Modelling Techniques | en_US |
| dc.type | Article | en_US |