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. 2309.03364
  4. Cited By
Highly Controllable Diffusion-based Any-to-Any Voice Conversion Model
  with Frame-level Prosody Feature

Highly Controllable Diffusion-based Any-to-Any Voice Conversion Model with Frame-level Prosody Feature

6 September 2023
Kyungguen Byun
Sunkuk Moon
Erik Visser
    DiffM
ArXivPDFHTML

Papers citing "Highly Controllable Diffusion-based Any-to-Any Voice Conversion Model with Frame-level Prosody Feature"

3 / 3 papers shown
Title
FreeVC: Towards High-Quality Text-Free One-Shot Voice Conversion
FreeVC: Towards High-Quality Text-Free One-Shot Voice Conversion
Jingyi Li
Weiping Tu
Li Xiao
41
91
0
27 Oct 2022
YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice
  Conversion for everyone
YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone
Edresson Casanova
Julian Weber
C. Shulby
Arnaldo Cândido Júnior
Eren Golge
M. Ponti
163
372
0
04 Dec 2021
Transfer Learning from Speaker Verification to Multispeaker
  Text-To-Speech Synthesis
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
Ye Jia
Yu Zhang
Ron J. Weiss
Quan Wang
Jonathan Shen
...
Z. Chen
Patrick Nguyen
Ruoming Pang
Ignacio López Moreno
Yonghui Wu
196
817
0
12 Jun 2018
1