6 citations · 6 across the 5 of their papers we have counts for
5 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…
StutterCut: Uncertainty-Guided Normalised Cut for Dysfluency Segmentation
Suhita Ghosh, Melanie Jouaiti, Jan-Ole Perschewski +1
Detecting and segmenting dysfluencies is crucial for effective speech therapy and real-time feedback. However, most methods only classify dysfluencies at the utterance level. We in…
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 Quality in Speech Anonymization With Just Perception-Informed Losses
Suhita Ghosh, Tim Thiele, Frederic Lorbeer +2
The increasing use of cloud-based speech assistants has heightened the need for effective speech anonymization, which aims to obscure a speaker's identity while retaining critical…
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…