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Segmental Pitch Control Using Speech Input Based on Differential Contexts and Features for Customizable Neural Speech Synthesis.

, , and . IIH-MSP (2), volume 110 of Smart Innovation, Systems and Technologies, page 124-131. Springer, (2018)

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Quantized F0 Context and Its Applications to Speech Synthesis, Speech Coding, and Voice Conversion., and . IIH-MSP, page 578-581. IEEE, (2014)Speaker and style adaptation using average voice model for style control in HMM-based speech synthesis., , , and . ICASSP, page 4633-4636. IEEE, (2008)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)A Symbol-level Melody Completion Based on a Convolutional Neural Network with Generative Adversarial Learning., , , and . J. Inf. Process., (2020)A Speaker Adaptation Technique for MRHSMM-Based Style Control of Synthetic Speech., , and . ICASSP (4), page 833-836. IEEE, (2007)Tonal context labeling using quantized F0 symbols for improving tone correctness in average-voice-based speech synthesis., , and . ICASSP, page 4708-4711. IEEE, (2011)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)Analysis and Estimation of Sentence Speakability for English Pronunciation Evaluation., , , and . GCCE, page 353-355. IEEE, (2020)Incremental Response Generation Using Prefix-to-Prefix Model for Dialogue System., , , and . GCCE, page 349-350. IEEE, (2020)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)