ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2207.01507
  4. Cited By
Mix and Match: An Empirical Study on Training Corpus Composition for
  Polyglot Text-To-Speech (TTS)

Mix and Match: An Empirical Study on Training Corpus Composition for Polyglot Text-To-Speech (TTS)

4 July 2022
Ziyao Zhang
Alessio Falai
Ariadna Sánchez
Orazio Angelini
K. Yanagisawa
ArXivPDFHTML

Papers citing "Mix and Match: An Empirical Study on Training Corpus Composition for Polyglot Text-To-Speech (TTS)"

3 / 3 papers shown
Title
Modelling low-resource accents without accent-specific TTS frontend
Modelling low-resource accents without accent-specific TTS frontend
Georgi Tinchev
Marta Czarnowska
Kamil Deja
K. Yanagisawa
Marius Cotescu
23
4
0
11 Jan 2023
Unify and Conquer: How Phonetic Feature Representation Affects Polyglot
  Text-To-Speech (TTS)
Unify and Conquer: How Phonetic Feature Representation Affects Polyglot Text-To-Speech (TTS)
Ariadna Sánchez
Alessio Falai
Ziyao Zhang
Orazio Angelini
K. Yanagisawa
30
7
0
04 Jul 2022
Universal Neural Vocoding with Parallel WaveNet
Universal Neural Vocoding with Parallel WaveNet
Yunlong Jiao
Adam Gabry's
Georgi Tinchev
Bartosz Putrycz
Daniel Korzekwa
V. Klimkov
31
42
0
01 Feb 2021
1