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Development of a model for predicting timing of back-channel in a real-time spoken dialog system.

, , , and . GCCE, page 453-456. IEEE, (2023)

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Developing Corpus of Japanese Classroom Lecture Speech Contents., , , , and . LREC, European Language Resources Association, (2008)Developing Partially-Transcribed Speech Corpus from Edited Transcriptions., , and . LREC, page 3399-3404. European Language Resources Association (ELRA), (2012)End-to-End Spontaneous Speech Recognition Using Hesitation Labeling., , , , , and . APSIPA ASC, page 1077-1081. IEEE, (2021)Construction of spoken language model including fillers using filler prediction model., , and . INTERSPEECH, page 1489-1492. ISCA, (2007)Evaluating spoken language model based on filler prediction model in speech recognition., , and . INTERSPEECH, page 1558-1561. ISCA, (2008)Development of a model for predicting timing of back-channel in a real-time spoken dialog system., , , and . GCCE, page 453-456. IEEE, (2023)Selecting type of response for chat-like spoken dialogue systems based on acoustic features of user utterances., , , and . APSIPA, page 1248-1252. IEEE, (2017)Response type selection for chat-like spoken dialog systems based on LSTM and multi-task learning., , and . Speech Commun., (2021)Effective use of pause information in language modelling for speech recognition., , and . INTERSPEECH, page 2691-2694. ISCA, (2009)Combining multiple end-to-end speech recognition models based on density ratio approach., , , , , and . APSIPA ASC, page 2274-2279. IEEE, (2023)