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Various DNN-HMM Architectures Used in Acoustic Modeling with Single-Speaker and Single-Channel., , и . SLSP, том 13062 из Lecture Notes in Computer Science, стр. 85-96. Springer, (2021)Recognition of the Electrolaryngeal Speech: Comparison Between Human and Machine., , и . TSD, том 10415 из Lecture Notes in Computer Science, стр. 509-517. Springer, (2017)Complexity of the TDNN Acoustic Model with Respect to the HMM Topology., , и . TDS, том 12284 из Lecture Notes in Computer Science, стр. 465-473. Springer, (2020)The Influence of a Filter Shape in Telephone-Based Recognition Module Using PLP Parameterization., , и . TSD, том 2166 из Lecture Notes in Computer Science, стр. 222-228. Springer, (2001)Automatic Transcription of Czech Language Oral History in the MALACH Project: Resources and Initial Experiments., , , , , , , и . TSD, том 2448 из Lecture Notes in Computer Science, стр. 253-260. Springer, (2002)Benefit of Maximum Likelihood Linear Transform (MLLT) Used at Different Levels of Covariance Matrices Clustering in ASR Systems.. TSD, том 4629 из Lecture Notes in Computer Science, стр. 431-438. Springer, (2007)Towards Processing of the Oral History Interviews and Related Printed Documents., , , , , , , , , и 1 other автор(ы). LREC, European Language Resources Association (ELRA), (2018)Training of Speaker-clustered Acoustic Models for use in Real-time Recognizers., , , и . SIGMAP, стр. 131-135. INSTICC Press, (2009)Full covariance Gaussian mixture models evaluation on GPU., , , и . ISSPIT, стр. 203-207. IEEE Computer Society, (2012)An Analysis of the RNN-Based Spoken Term Detection Training., , и . SPECOM, том 10458 из Lecture Notes in Computer Science, стр. 119-129. Springer, (2017)