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. 2211.16049
  4. Cited By
Evaluating and reducing the distance between synthetic and real speech
  distributions

Evaluating and reducing the distance between synthetic and real speech distributions

29 November 2022
Christoph Minixhofer
Ondˇrej Klejch
P. Bell
ArXivPDFHTML

Papers citing "Evaluating and reducing the distance between synthetic and real speech distributions"

5 / 5 papers shown
Title
An Exhaustive Evaluation of TTS- and VC-based Data Augmentation for ASR
Sewade Ogun
Vincent Colotte
Emmanuel Vincent
59
0
0
11 Mar 2025
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
185
378
0
04 Dec 2021
Synt++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition
Synt++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition
Ting-Yao Hu
Mohammadreza Armandpour
A. Shrivastava
Jen-Hao Rick Chang
H. Koppula
Oncel Tuzel
SyDa
52
42
0
21 Oct 2021
High Fidelity Speech Synthesis with Adversarial Networks
High Fidelity Speech Synthesis with Adversarial Networks
Mikolaj Binkowski
Jeff Donahue
Sander Dieleman
Aidan Clark
Erich Elsen
Norman Casagrande
Luis C. Cobo
Karen Simonyan
223
239
0
25 Sep 2019
Soft-DTW: a Differentiable Loss Function for Time-Series
Soft-DTW: a Differentiable Loss Function for Time-Series
Marco Cuturi
Mathieu Blondel
AI4TS
141
611
0
05 Mar 2017
1