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Customization of an example-based dialog system with user data and distributed word representations., , and . APSIPA, page 1718-1724. IEEE, (2018)Robust seed model training for speaker adaptation using pseudo-speaker features generated by inverse CMLLR transformation., , , and . ASRU, page 169-172. IEEE, (2011)Noisy Speech Recognition Based on Integration/Selection of Multiple Noise Suppression Methods Using Noise GMMs., , and . IEICE Transactions, 91-D (3): 411-421 (2008)AURORA-2J: An Evaluation Framework for Japanese Noisy Speech Recognition., , , , , , , , , and 2 other author(s). IEICE Transactions, 88-D (3): 535-544 (2005)Subjective experiments on influence of response timing in spoken dialogues., , and . INTERSPEECH, page 1835-1838. ISCA, (2009)Speech interface for name input based on combination of recognition methods using syllable-based n-gram and word dictionary., , and . INTERSPEECH, ISCA, (2004)Noisy speech recognition based on selection of multiple noise suppression methods using noise GMMs., , and . INTERSPEECH, ISCA, (2006)Comparison of effects of acoustic and language knowledge on spontaneous speech perception/recognition between human and automatic speech recognizer., , and . INTERSPEECH, ISCA, (2003)CENSREC-4: development of evaluation framework for distant-talking speech recognition under reverberant environments., , , , , , , , , and 6 other author(s). INTERSPEECH, page 968-971. ISCA, (2008)Analysis of relationship between impression of human-to-human conversations and prosodic change and its modeling., , and . INTERSPEECH, page 534-537. ISCA, (2008)