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Unsupervised adaptation for deep neural network using linear least square method.

, , , , and . INTERSPEECH, page 2887-2891. ISCA, (2015)

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A quantitative assessment of the importance of tone in mandarin speech recognition., , and . IEEE Signal Process. Lett., 12 (12): 867-870 (2005)Online Automatic Speech Recognition With Listen, Attend and Spell Model., , , , and . IEEE Signal Process. Lett., (2020)Improved Single System Conversational Telephone Speech Recognition with VGG Bottleneck Features., , , , , and . INTERSPEECH, page 112-116. ISCA, (2017)Improving Deliverable Speech-to-Text Systems with Multilingual Knowledge Transfer., , , , and . INTERSPEECH, page 127-131. ISCA, (2017)Adaptive boosting features for automatic speech recognition., , and . ICASSP, page 4733-4736. IEEE, (2012)Conformer-Based Speech Recognition On Extreme Edge-Computing Devices., , , , , , , , , and . CoRR, (2023)Acoustic Model Fusion For End-to-End Speech Recognition., , , , , , , , , and 1 other author(s). ASRU, page 1-7. IEEE, (2023)Neural Network Bottleneck Features for Language Identification., , , , , , and . Odyssey, page 299-304. ISCA, (2014)Progress on Mandarin conversational telephone speech recognition., , , , , , , , , and 2 other author(s). ISCSLP, page 1-4. IEEE, (2004)Mandarin Word-Character Hybrid-Input Neural Network Language Model., , and . INTERSPEECH, page 625-628. ISCA, (2011)