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Design Guidelines for Developing Systems for Dialogue System Competitions.

, , , and . IWSDS, volume 943 of Lecture Notes in Electrical Engineering, page 161-177. Springer, (2021)

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Estimating response obligation in multi-party human-robot dialogues., , , and . Humanoids, page 166-172. IEEE, (2015)Unsupervised Segmentation of Phoneme Sequences based on Pitman-Yor Semi-Markov Model using Phoneme Length Context., and . IJCNLP(1), page 243-252. Asian Federation of Natural Language Processing, (2017)Domain-independent spoken dialogue platform using key-phrase spotting based on combined language model., , , and . INTERSPEECH, page 1319-1322. ISCA, (2001)Generating effective confirmation and guidance using two-level confidence measures for dialogue systems., and . INTERSPEECH, page 648. ISCA, (2000)Transformer-Based Physiological Feature Learning for Multimodal Analysis of Self-Reported Sentiment., , and . ICMI, page 349-358. ACM, (2022)Dynamic Communication of Humanoid Robot with Multiple People Based on Interaction Distance., , , , , , , and . Inf. Media Technol., 1 (1): 285-295 (2006)Empirical Sampling from Latent Utterance-wise Evidence Model for Missing Data ASR based on Neural Encoder-Decoder Model., , , and . INTERSPEECH, page 3789-3793. ISCA, (2022)Analyzing user utterances in barge-in-able spoken dialogue system for improving identification accuracy., , , , , and . INTERSPEECH, page 3050-3053. ISCA, (2010)A robot listens to music and counts its beats aloud by separating music from counting voice., , , , , and . IROS, page 1538-1543. IEEE, (2008)Predicting ASR errors by exploiting barge-in rate of individual users for spoken dialogue systems., , and . INTERSPEECH, page 183-186. ISCA, (2008)