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Factor analysis based semantic variability compensation for automatic conversation representation.

, , , , , and . INTERSPEECH, page 1885-1889. ISCA, (2014)

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Exploring some limits of Gaussian PLDA modeling for i-vector distributions., , and . Odyssey, ISCA, (2014)Comparing different model configurations for language identification using a phonotactic approach., , , and . EUROSPEECH, page 387-390. ISCA, (1999)Using AR HMM state-dependent filtering for speech enhancement., and . ICASSP, page 785-788. IEEE Computer Society, (1999)Structural speaker adaptation using maximum a posteriori approach and a Gaussian distributions merging technique., , , , and . ICASSP (2), page 121-124. IEEE, (2003)Combining continuous progressive model adaptation and factor analysis for speaker verification., , , and . INTERSPEECH, page 857-860. ISCA, (2008)Variability of automatic speech recognition systems using different features., , , , and . INTERSPEECH, page 221-224. ISCA, (2005)Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation., , , , , and . Interspeech, page 1902-1906. ISCA, (2021)A Bridge between Features and Evidence for Binary Attribute-Driven Perfect Privacy., , , , and . ICASSP, page 3094-3098. IEEE, (2022)Joint Optimization of Diffusion Probabilistic-Based Multichannel Speech Enhancement with Far-Field Speaker Verification., , , , and . SLT, page 428-435. IEEE, (2022)Analyse en Composante Principale pour l'extraction des i-vecteurs en vérification du locuteur (Principal Component Analysis for i-vector extraction in speaker verification.) in French., , , and . JEP-TALN-RECITAL 2012, page 297-304. ATALA/AFCP, (2012)