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Incremental Response Generation Using Prefix-to-Prefix Model for Dialogue System.

, , , and . GCCE, page 349-350. IEEE, (2020)

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A spoken dialog system based on automatic grammar generation and template-based weighting for autonomous mobile robots., , , and . INTERSPEECH, (2014)A Symbol-level Melody Completion Based on a Convolutional Neural Network with Generative Adversarial Learning., , , and . J. Inf. Process., (2020)Packet Loss Concealment of Voice-over IP Packet using Redundant Parameter Transmission Under Severe Loss Conditions., and . J. Inf. Hiding Multim. Signal Process., 5 (2): 286-295 (2014)Free software toolkit for Japanese large vocabulary continuous speech recognition., , , , , , , , , and 2 other author(s). INTERSPEECH, page 476-479. ISCA, (2000)A Japanese text dictation system based on phoneme recognition using a modified LVQ2 method., , , and . ICSLP, page 241-244. ISCA, (1990)Speech recognition under noisy environments using multiple microphones based on asynchronous and intermittent measurements., and . APSIPA, page 1-4. IEEE, (2013)Playing with a Robot: Realization of "Red Light, Green Light" Using a Laser Range Finder., , and . RVSP, page 1-4. IEEE Computer Society, (2015)Effect of Robot Height on Comfortableness of Spoken Dialog., , , , and . HSI, page 29-34. IEEE, (2012)A Light-weight Hand-waving Gesture Recognition Method Using Kinect V2 and Frequency Analysis., , and . SII, page 750-755. IEEE, (2021)Evaluation of English Speech Recognition for Japanese Learners Using DNN-Based Acoustic Models., , , and . IIH-MSP (2), volume 110 of Smart Innovation, Systems and Technologies, page 93-100. Springer, (2018)