Non-Native Text-to-Speech Preserving Speaker Individuality Based on Partial Correction of Prosodic and Phonetic Characteristics-Reference-Cited by-同舟云学术

Non-Native Text-to-Speech Preserving Speaker Individuality Based on Partial Correction of Prosodic and Phonetic Characteristics

Author:

OSHIMA Yuji¹,TAKAMICHI Shinnosuke²,TODA Tomoki¹³,NEUBIG Graham¹,SAKTI Sakriani¹,NAKAMURA Satoshi¹

Affiliation:

1. Graduate School of Information Science, Nara Institute of Science and Technology

2. Department of Information Physics and Computing, Graduate School of Information Science and Technology, The University of Tokyo

3. Information Technology Center, Nagoya University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

Reference41 articles.

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1. Adaptive End-to-End Text-to-Speech Synthesis Based on Error Correction Feedback from Humans;2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2022-11-07

3. NAUTILUS: A Versatile Voice Cloning System;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2020

5. Evaluation of English Speech Recognition for Japanese Learners Using DNN-Based Acoustic Models;Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing;2018-11-11