Conference paper

LEI Yun, BURGET Lukáš and SCHEFFER Nicolas. Bilinear Factor Analysis for iVector Based Speaker Verification. In: Proceedings of Interspeech. Portland, Oregon: International Speech Communication Association, 2012, pp. 1-4. ISBN 978-1-62276-759-5.
Publication language:english
Original title:Bilinear Factor Analysis for iVector Based Speaker Verification
Title (cs):Bililneární faktorová analýza pro ověřování mluvčího založené na iVektorech
Proceedings:Proceedings of Interspeech
Conference:Interspeech 2012
Place:Portland, Oregon, US
Publisher:International Speech Communication Association
speaker recognition, i-Vectors, PLDA
In this study, we have proposed and tested a new extension of the PLDA model, where within-class (channel) variability is modeled as a function of the class (speaker) location in the feature (iVector) space.
The combination of iVector extraction and Probabilistic Linear Discriminant Analysis (PLDA) model forms a basis of the current state of the art speaker verification. The PLDA model makes an assumption that the within-speaker (or inter-session) variability in the iVector space is independent of speaker identity. In this work we propose a new model, which can be seen as an extension of PLDA, relaxing this assumption and allowing the within-speaker variability to be different for different locations of speakers in the iVector space. The potential of the proposed model is demonstrated in preliminary experiments.
   author = {Yun Lei and Luk{\'{a}}{\v{s}} Burget and Nicolas Scheffer},
   title = {Bilinear Factor Analysis for iVector Based Speaker
   pages = {1--4},
   booktitle = {Proceedings of Interspeech},
   year = {2012},
   location = {Portland, Oregon, US},
   publisher = {International Speech Communication Association},
   ISBN = {978-1-62276-759-5},
   language = {english},
   url = {}

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