65 citations · 107 across the 15 of their papers we have counts for
4 papers · 1 filter
Improving Voice Conversion for Dissimilar Speakers Using Perceptual Losses
Suhita Ghosh, Yamini Sinha, Ingo Siegert +1
The rising trend of using voice as a means of interacting with smart devices has sparked worries over the protection of users' privacy and data security. These concerns have become…
StarGAN-VC++: Towards Emotion Preserving Voice Conversion Using Deep Embeddings
Arnab Das, Suhita Ghosh, Tim Polzehl +1
Voice conversion (VC) transforms an utterance to sound like another person without changing the linguistic content. A recently proposed generative adversarial network-based VC meth…
Emo-StarGAN: A Semi-Supervised Any-to-Many Non-Parallel Emotion-Preserving Voice Conversion
Suhita Ghosh, Arnab Das, Yamini Sinha +3
Speech anonymisation prevents misuse of spoken data by removing any personal identifier while preserving at least linguistic content. However, emotion preservation is crucial for n…
Visualizing Deep Neural Networks for Speech Recognition with Learned Topographic Filter Maps
Andreas Krug, Sebastian Stober
The uninformative ordering of artificial neurons in Deep Neural Networks complicates visualizing activations in deeper layers. This is one reason why the internal structure of such…