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Many-to-Many Voice Conversion using Cycle-Consistent Variational
  Autoencoder with Multiple Decoders

Many-to-Many Voice Conversion using Cycle-Consistent Variational Autoencoder with Multiple Decoders

15 September 2019
Keonnyeong Lee
In-Chul Yoo
Dongsuk Yook
    DRL
ArXivPDFHTML

Papers citing "Many-to-Many Voice Conversion using Cycle-Consistent Variational Autoencoder with Multiple Decoders"

3 / 3 papers shown
Title
Generative Adversarial Network based Voice Conversion: Techniques, Challenges, and Recent Advancements
Generative Adversarial Network based Voice Conversion: Techniques, Challenges, and Recent Advancements
Sandipan Dhar
N. D. Jana
Swagatam Das
50
0
0
27 Apr 2025
DAE : Discriminatory Auto-Encoder for multivariate time-series anomaly
  detection in air transportation
DAE : Discriminatory Auto-Encoder for multivariate time-series anomaly detection in air transportation
Antoine Chevrot
Alexandre Vernotte
B. Legeard
AI4TS
30
24
0
08 Sep 2021
Contrastive Predictive Coding Supported Factorized Variational
  Autoencoder for Unsupervised Learning of Disentangled Speech Representations
Contrastive Predictive Coding Supported Factorized Variational Autoencoder for Unsupervised Learning of Disentangled Speech Representations
Janek Ebbers
Michael Kuhlmann
Tobias Cord-Landwehr
Reinhold Haeb-Umbach
DRL
CoGe
SSL
31
4
0
26 May 2020
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