Syllable-Level Representations of Suprasegmental Features for DNN-Based Text-To-Speech Synthesis

doi 10.21437/interspeech.2016-1034

Full Text

Abstract

Available in

Date

September 8, 2016

Authors

Manuel Sam Ribeiro

Junichi Yamagishi

Publisher

ISCA

Related search

Investigating Different Representations for Modeling and Controlling Multiple Emotions in DNN-based Speech Synthesis

Speech Communication

Pattern Recognition

Computer Vision

Computer Science Applications

English

Unsupervised Speaker Adaptation for DNN-based Speech Synthesis Using Input Codes

English

Syllable Based Speech Recognition

English

Text to Speech Synthesis for Bangla Language

International Journal of Information Engineering and Electronic Business

English

Multilingual Text-To-Speech Synthesis

English

Emotional Text to Speech Synthesis: A Review

English

Exploiting Alternatives for Text-To-Speech Synthesis: From Machine to Human

Prosody, Phonology and Phonetics

English

Grid Text Classification Method Based on DNN Neural Network

MATEC Web of Conferences

Materials Science

English

Newsreader Application for Blind People Using Text to Speech Synthesis

International Journal for Research in Applied Science and Engineering Technology

English