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Estimating the Sincerity of Apologies in Speech by DNN Rank Learning and Prosodic Analysis.

, , , and . INTERSPEECH, page 2026-2030. ISCA, (2016)

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Unsupervised Clustering of Prosodic Patterns in Spontaneous Speech., and . TSD, volume 7499 of Lecture Notes in Computer Science, page 648-655. Springer, (2012)Using phonological phrase segmentation to improve automatic keyword spotting for the highly agglutinating Hungarian language., and . INTERSPEECH, page 1589-1593. ISCA, (2013)Estimating the Sincerity of Apologies in Speech by DNN Rank Learning and Prosodic Analysis., , , and . INTERSPEECH, page 2026-2030. ISCA, (2016)A szupraszegmentális jellemzők szerepe és felhasználása a gépi beszédfelismerésben. Budapest University of Technology and Economics, Hungary, (2009)N-gram Approximation of LSTM Recurrent Language Models for Single-pass Recognition of Hungarian Call Center Conversations., , , and . CogInfoCom, page 131-136. IEEE, (2019)Using ASR Posterior Probability and Acoustic Features for Voice Disorder Classification., , , and . CogInfoCom, page 155-160. IEEE, (2020)Joint Word- and Character-level Embedding CNN-RNN Models for Punctuation Restoration., and . CogInfoCom, page 135-140. IEEE, (2018)Using prosody to improve automatic speech recognition., and . Speech Commun., 52 (5): 413-426 (2010)On the Effects of Automatic Transcription and Segmentation Errors in Hungarian Spoken Language Processing., , and . Period. Polytech. Electr. Eng. Comput. Sci., 63 (4): 254-262 (2019)Investigation on N-Gram Approximated RNNLMs for Recognition of Morphologically Rich Speech., , , and . SLSP, volume 11816 of Lecture Notes in Computer Science, page 223-234. Springer, (2019)