1 citations · 1 across the 1 of their papers we have counts for
2 papers
eess.AS2022★ 1 cited
Investigation into Target Speaking Rate Adaptation for Voice Conversion
Michael Kuhlmann, Fritz Seebauer, Janek Ebbers +2
Disentangling speaker and content attributes of a speech signal into separate latent representations followed by decoding the content with an exchanged speaker representation is a…
eess.AS2020
Contrastive Predictive Coding Supported Factorized Variational Autoencoder for Unsupervised Learning of Disentangled Speech Representations
Janek Ebbers, Michael Kuhlmann, Tobias Cord-Landwehr +1
In this work we address disentanglement of style and content in speech signals. We propose a fully convolutional variational autoencoder employing two encoders: a content encoder a…