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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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Grounding New Words on the Physical World in Multi-Domain Human-Robot Dialogues., , , , , , , , , and 3 other author(s). AAAI Fall Symposium: Dialog with Robots, volume FS-10-05 of AAAI Technical Report, AAAI, (2010)Speaker and style adaptation using average voice model for style control in HMM-based speech synthesis., , , and . ICASSP, page 4633-4636. IEEE, (2008)A Speaker Adaptation Technique for MRHSMM-Based Style Control of Synthetic Speech., , and . ICASSP (4), page 833-836. IEEE, (2007)A Symbol-level Melody Completion Based on a Convolutional Neural Network with Generative Adversarial Learning., , , and . J. Inf. Process., (2020)Quantized F0 Context and Its Applications to Speech Synthesis, Speech Coding, and Voice Conversion., and . IIH-MSP, page 578-581. IEEE, (2014)Monitoring System for a Single Aged Person on the Basis of Electricity Use : Performance Improvement by Interpolating Watt Hour Granularity., , , , , , , and . GCCE, page 739-740. IEEE, (2018)Tonal context labeling using quantized F0 symbols for improving tone correctness in average-voice-based speech synthesis., , and . ICASSP, page 4708-4711. IEEE, (2011)Frame-level acoustic modeling based on Gaussian process regression for statistical nonparametric speech synthesis., , and . ICASSP, page 8007-8011. IEEE, (2013)Performance evaluation of the speaker-independent HMM-based speech synthesis system "HTS 2007" for the Blizzard Challenge 2007., , , , and . ICASSP, page 3957-3960. IEEE, (2008)Speaking style adaptation for spontaneous speech recognition using multiple-regression HMM., , , and . INTERSPEECH, page 552-555. ISCA, (2009)