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Automatic EMG-based Hand Gesture Recognition System using Time-Domain Descriptors and Fully-Connected Neural Networks.

, , , и . TSP, стр. 232-235. IEEE, (2019)

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A constraint satisfaction approach to context-sensitive utterance generation in multi-party dialogue systems., , и . I. J. Speech Technology, 12 (2-3): 95 (2009)Investigating the role of machine translated text in ASR domain adaptation: Unsupervised and semi-supervised methods., , , и . ASRU, стр. 260-265. IEEE, (2011)Automatic EMG-based Hand Gesture Recognition System using Time-Domain Descriptors and Fully-Connected Neural Networks., , , и . TSP, стр. 232-235. IEEE, (2019)ARF @ MediaEval 2012: A Romanian ASR-based Approach to Spoken Term Detection., , , , и . MediaEval, том 927 из CEUR Workshop Proceedings, CEUR-WS.org, (2012)Logic-Based Rhetorical Structuring for Natural Language Generation in Human-Computer Dialogue., , и . TSD, том 4629 из Lecture Notes in Computer Science, стр. 309-317. Springer, (2007)Design of Robust Complex-Valued Feed-Forward Neural Networks., , , и . EUSIPCO, стр. 1596-1600. IEEE, (2022)Counting competing speakers in a timeframe - human versus computer., , , и . INTERSPEECH, стр. 3399-3403. ISCA, (2015)Detecting the number of competing speakers - human selective hearing versus spectrogram distance based estimator., , , и . INTERSPEECH, стр. 467-470. ISCA, (2014)ASR domain adaptation methods for low-resourced languages: Application to Romanian language., , , и . EUSIPCO, стр. 1648-1652. IEEE, (2012)Estimating competing speaker count for blind speech source separation., , , и . SpeD, стр. 1-8. IEEE, (2015)