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Robust Features in Deep-Learning-Based Speech Recognition.

, , , , , , , , , and . New Era for Robust Speech Recognition, Exploiting Deep Learning, Springer, (2017)

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Robust speech representation of voiced sounds based on synchrony determination with PLLs., , and . ICASSP, page 5424-5427. IEEE, (2011)Hybrid Neural Network/Hidden Markov Model Systems for Continuous Speech Recognition., , , , and . IJPRAI, 7 (4): 899-916 (1993)Voicing feature integration in SRI's decipher LVCSR system., , , , and . ICASSP (1), page 921-924. IEEE, (2004)Improving robustness against reverberation for automatic speech recognition., , , , , , and . ASRU, page 525-532. IEEE, (2015)Articulatory Information and Multiview Features for Large Vocabulary Continuous Speech Recognition., , , , and . ICASSP, page 5634-5638. IEEE, (2018)Speech recognition in unseen and noisy channel conditions., , , , , and . ICASSP, page 5215-5219. IEEE, (2017)Iterative Statistical Language Model Generation for Use with an Agent-Oriented Natural Language Interface., , , , , , , and . HCI (4), page 1422-1426. Lawrence Erlbaum, (2003)Combination of standard and throat microphones for robust speech recognition in highly noisy environments., , , , , and . INTERSPEECH, page 809-812. ISCA, (2004)Development of phrase translation systems for handheld computers: from concept to field., , , , , , , , , and . INTERSPEECH, page 373-376. ISCA, (2003)Segmental modeling using a continuous mixture of non-parametric models., , and . EUROSPEECH, page 1195-1198. ISCA, (1997)