6 citations · 9 across the 4 of their papers we have counts for
4 papers
DDSP-QbE++: Improving Speech Quality for Speech Anonymisation for Atypical Speech
Suhita Ghosh, Yamini Sinha, Sebastian Stober
Differentiable Digital Signal Processing (DDSP) pipelines for voice conversion rely on subtractive synthesis, where a periodic excitation signal is shaped by a learned spectral env…
Anonymising Elderly and Pathological Speech: Voice Conversion Using DDSP and Query-by-Example
Suhita Ghosh, Melanie Jouaiti, Arnab Das +4
Speech anonymisation aims to protect speaker identity by changing personal identifiers in speech while retaining linguistic content. Current methods fail to retain prosody and uniq…
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…
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…