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Recognition of Heavily Accented and Emotional Speech of English and Czech Holocaust Survivors Using Various DNN Architectures.

, , and . SPECOM, volume 12997 of Lecture Notes in Computer Science, page 553-564. Springer, (2021)

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Towards Processing of the Oral History Interviews and Related Printed Documents., , , , , , , , , and 1 other author(s). LREC, European Language Resources Association (ELRA), (2018)The Influence of a Filter Shape in Telephone-Based Recognition Module Using PLP Parameterization., , and . TSD, volume 2166 of Lecture Notes in Computer Science, page 222-228. Springer, (2001)Automatic Transcription of Czech Language Oral History in the MALACH Project: Resources and Initial Experiments., , , , , , , and . TSD, volume 2448 of Lecture Notes in Computer Science, page 253-260. Springer, (2002)Benefit of Maximum Likelihood Linear Transform (MLLT) Used at Different Levels of Covariance Matrices Clustering in ASR Systems.. TSD, volume 4629 of Lecture Notes in Computer Science, page 431-438. Springer, (2007)Complexity of the TDNN Acoustic Model with Respect to the HMM Topology., , and . TDS, volume 12284 of Lecture Notes in Computer Science, page 465-473. Springer, (2020)Spoken Term Detection and Relevance Score Estimation using Dot-Product of Pronunciation Embeddings., , , and . CoRR, (2022)Training of Speaker-clustered Acoustic Models for use in Real-time Recognizers., , , and . SIGMAP, page 131-135. INSTICC Press, (2009)Various DNN-HMM Architectures Used in Acoustic Modeling with Single-Speaker and Single-Channel., , and . SLSP, volume 13062 of Lecture Notes in Computer Science, page 85-96. Springer, (2021)An Analysis of the RNN-Based Spoken Term Detection Training., , and . SPECOM, volume 10458 of Lecture Notes in Computer Science, page 119-129. Springer, (2017)Full covariance Gaussian mixture models evaluation on GPU., , , and . ISSPIT, page 203-207. IEEE Computer Society, (2012)