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

doi 10.21437/interspeech.2016-1034
Full Text
Abstract

Available in full text

Date
Authors
Publisher

ISCA

Related search

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

Speech Communication
LinguisticsPattern RecognitionLanguageCommunicationSimulationComputer VisionComputer Science ApplicationsModelingSoftware
2018English

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

2018English

Syllable Based Speech Recognition

2011English

Text to Speech Synthesis for Bangla Language

International Journal of Information Engineering and Electronic Business
2019English

Multilingual Text-To-Speech Synthesis

English

A DNN-HMM Approach to Non-Negative Matrix Factorization Based Speech Enhancement

2016English

Emotional Text to Speech Synthesis: A Review

IJARCCE
2017English

Newsreader Application for Blind People Using Text to Speech Synthesis

International Journal for Research in Applied Science and Engineering Technology
2017English

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

Prosody, Phonology and Phonetics
2015English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy