most citedEmo-StarGAN: A Semi-Supervised Any-to-Many Non-Parallel Emotion-Preserving Voice Conversion

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2023

PI-RADS v2 Compliant Automated Segmentation of Prostate Zones Using co-training Motivated Multi-task Dual-Path CNN

Arnab Das, Suhita Ghosh, Sebastian Stober

The detailed images produced by Magnetic Resonance Imaging (MRI) provide life-critical information for the diagnosis and treatment of prostate cancer. To provide standardized acqui…

eess.AS2023

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…

eess.AS2023

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…

eess.AS20233 cited

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…

cs.LG2021

Differentiable Generalised Predictive Coding

André Ofner, Sebastian Stober

This paper deals with differentiable dynamical models congruent with neural process theories that cast brain function as the hierarchical refinement of an internal generative model…