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Learning Hidden Unit Contributions for Unsupervised Acoustic Model Adaptation.

, , and . IEEE ACM Trans. Audio Speech Lang. Process., 24 (8): 1450-1463 (2016)

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Teacher-Student Training for Text-Independent Speaker Recognition., , and . SLT, page 1044-1051. IEEE, (2018)Structured output layer with auxiliary targets for context-dependent acoustic modelling., , and . INTERSPEECH, page 3605-3609. ISCA, (2015)Investigation of maxout networks for speech recognition., , and . ICASSP, page 7649-7653. IEEE, (2014)Automatic Selection of Pareto-Optimal Topologies of Hidden Markov Models Using Multicriteria Evolutionary Algorithms., , and . EvoApplications (1), volume 6624 of Lecture Notes in Computer Science, page 224-233. Springer, (2011)Transcription of multi-genre media archives using out-of-domain data., , , , , , , and . SLT, page 324-329. IEEE, (2012)Learning hidden unit contributions for unsupervised speaker adaptation of neural network acoustic models., and . SLT, page 171-176. IEEE, (2014)Hybrid acoustic models for distant and multichannel large vocabulary speech recognition., , and . ASRU, page 285-290. IEEE, (2013)Automatic Transcription of Multi-genre Media Archives., , , , , , , , , and 2 other author(s). SLAM@INTERSPEECH, volume 1012 of CEUR Workshop Proceedings, page 26-31. CEUR-WS.org, (2013)A study of speaker adaptation for DNN-based speech synthesis., , , , and . INTERSPEECH, page 879-883. ISCA, (2015)Adaptation Algorithms for Speech Recognition: An Overview., , , , , and . CoRR, (2020)