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Recurrent Neural Network Language Model Adaptation for Multi-Genre Broadcast Speech Recognition and Alignment.

, , , , and . IEEE ACM Trans. Audio Speech Lang. Process., 27 (3): 572-582 (2019)

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Addressing Confusions in Spoken Language in ESL Pronunciation Tutors., and . INTERSPEECH, page 771-774. ISCA, (2012)Unsupervised Data-Driven Feature Vector Normalization With Acoustic Model Adaptation for Robust Speech Recognition., , , , and . IEEE Trans. Speech Audio Process., 18 (2): 296-309 (2010)Combination of acoustic and lexical speaker adaptation for disordered speech recognition., , and . INTERSPEECH, page 544-547. ISCA, (2009)Combining Feature and Model-Based Adaptation of RNNLMs for Multi-Genre Broadcast Speech Recognition., , , , and . INTERSPEECH, page 2343-2347. ISCA, (2016)Automatic Genre and Show Identification of Broadcast Media., , , and . INTERSPEECH, page 2115-2119. ISCA, (2016)COMUNICA: multilevel tools for Spanish CALL., , , and . SLaTE, ISCA, (2009)Background-tracking acoustic features for genre identification of broadcast shows., , and . SLT, page 118-123. IEEE, (2014)The Alborada-I3A Corpus of Disordered Speech., , , and . LREC, European Language Resources Association, (2010)Analysis of Acoustic Features in Speakers with Cognitive Disorders and Speech Impairments., , , , and . EURASIP J. Adv. Signal Process., (2009)A prelingual tool for the education of altered voices., , and . Speech Commun., 54 (5): 583-600 (2012)