Conference paper

CUMANI Sandro, PLCHOT Oldřich and FÉR Radek. Exploiting i-vector posterior covariances for short-duration language recognition. In: Proceedings of Interspeech 2015. Dresden: International Speech Communication Association, 2015, pp. 1002-1006. ISBN 978-1-5108-1790-6. ISSN 1990-9772.
Publication language:english
Original title:Exploiting i-vector posterior covariances for short-duration language recognition
Title (cs):Využití posteriorních kovariancí i-vektorů pro rozpoznávání jazyka z krátkých nahrávek
Proceedings:Proceedings of Interspeech 2015
Conference:INTERSPEECH 2015
Place:Dresden, DE
Journal:Proceedings of Interspeech, Vol. 2015, No. 09, FR
Publisher:International Speech Communication Association
i-vector, uncertainty, calibration, stacked bottleneck features, language identification
In this work we have proposed an approach that accounts for the uncertainty in the i-vector extraction process in the framework of generative Gaussian models for language recognition.
Linear models in i-vector space have shown to be an effective solution not only for speaker identification, but also for language recogniton. The i-vector extraction process, however, is affected by several factors, such as noise level, the acoustic content of the utterance and the duration of the spoken segments. These factors influence both the i-vector estimate and its uncertainty, represented by the i-vector posterior covariance matrix. Modeling of i-vector uncertainty with Probabilistic Linear Discriminant Analysis has shown to be effective for short-duration speaker identification. This paper extends the approach to language recognition, analyzing the effects of i-vector covariances on a state-of-the-art Gaussian classifier, and proposes an effective solution for the reduction of the average detection cost (Cavg) for short segments.
   author = {Sandro Cumani and Old{\v{r}}ich Plchot and Radek
   title = {Exploiting i-vector posterior covariances for
	short-duration language recognition},
   pages = {1002--1006},
   booktitle = {Proceedings of Interspeech 2015},
   journal = {Proceedings of Interspeech},
   volume = 2015,
 number = 09,
   year = 2015,
   location = {Dresden, DE},
   publisher = {International Speech Communication Association},
   ISBN = {978-1-5108-1790-6},
   ISSN = {1990-9772},
   language = {english},
   url = {}

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