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Three ways to adapt a CTS recognizer to unseen reverberated speech in BUT system for the ASpIRE challenge.

, , , , and . INTERSPEECH, page 2454-2458. ISCA, (2015)

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Learning Document Representations Using Subspace Multinomial Model., , , and . INTERSPEECH, page 700-704. ISCA, (2016)Comparison of methods for language-dependent and language-independent query-by-example spoken term detection., , , , and . ACM Trans. Inf. Syst., 30 (3): 18:1-18:34 (2012)But ASR system for BABEL Surprise evaluation 2014., , , , , , and . SLT, page 501-506. IEEE, (2014)BUT-HCTLab approaches for Spoken Web Search - MediaEval 2011., , , and . MediaEval, volume 807 of CEUR Workshop Proceedings, CEUR-WS.org, (2011)BUT QUESST 2014 system description., , and . MediaEval, volume 1263 of CEUR Workshop Proceedings, CEUR-WS.org, (2014)BUT QUESST 2015 System Description., and . MediaEval, volume 1436 of CEUR Workshop Proceedings, CEUR-WS.org, (2015)Maximum Likelihood and Maximum Mutual Information Training in Gender and Age Recognition System., , , and . TSD, volume 4629 of Lecture Notes in Computer Science, page 496-501. Springer, (2007)Three ways to adapt a CTS recognizer to unseen reverberated speech in BUT system for the ASpIRE challenge., , , , and . INTERSPEECH, page 2454-2458. ISCA, (2015)Lessons Learned in ATCO2: 5000 hours of Air Traffic Control Communications for Robust Automatic Speech Recognition and Understanding., , , , , , , , , and 1 other author(s). CoRR, (2023)Zero-Cost Speech Recognition Task at Mediaeval 2016., and . MediaEval, volume 1739 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)