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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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Factor analysis based session variability compensation for Automatic Speech Recognition., , , and . ASRU, page 141-145. IEEE, (2011)I-vector based representation of highly imperfect automatic transcriptions., , , , , and . INTERSPEECH, page 1870-1874. ISCA, (2014)LIA @ MediaEval 2013 Spoken Web Search Task: An I-Vector based Approach., , , , , and . MediaEval, volume 1043 of CEUR Workshop Proceedings, CEUR-WS.org, (2013)Subspace Gaussian Mixture Models Based on Noise Compensation for Speech Recognition., , , and . INTERSPEECH, page 318-321. ISCA, (2012)Acoustic modeling for under-resourced languages based on vectorial HMM-states representation using Subspace Gaussian Mixture Models., , , , , and . SLT, page 330-335. IEEE, (2012)A simplified Subspace Gaussian Mixture to compact acoustic models for speech recognition., , and . ICASSP, page 4896-4899. IEEE, (2011)L'analyse factorielle pour la modélisation acoustique des systèmes de reconnaissance de la parole. (Factor analysis for acoustic modeling of speech recognition systems).. University of Avignon, France, (2013)LIA @ MediaEval 2013 MusiClef Task: A Combined Thematic and Acoustic Approach., , , , and . MediaEval, volume 1043 of CEUR Workshop Proceedings, CEUR-WS.org, (2013)An I-vector Based Approach to Compact Multi-Granularity Topic Spaces Representation of Textual Documents., , , , , and . EMNLP, page 443-454. ACL, (2014)Author-topic based representation of call-center conversations., , , and . SLT, page 218-223. IEEE, (2014)