2 papers
eess.AS2023
On Feature Importance and Interpretability of Speaker Representations
Frederik Rautenberg, Michael Kuhlmann, Jana Wiechmann +3
Unsupervised speech disentanglement aims at separating fast varying from slowly varying components of a speech signal. In this contribution, we take a closer look at the embedding…
eess.AS2023
Investigating Speaker Embedding Disentanglement on Natural Read Speech
Michael Kuhlmann, Adrian Meise, Fritz Seebauer +2
Disentanglement is the task of learning representations that identify and separate factors that explain the variation observed in data. Disentangled representations are useful to i…