30 citations · 40 across the 12 of their papers we have counts for
12 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…
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…
Dual Branch Prior-SegNet: CNN for Interventional CBCT using Planning Scan and Auxiliary Segmentation Loss
Philipp Ernst, Suhita Ghosh, Georg Rose +1
This paper proposes an extension to the Dual Branch Prior-Net for sparse view interventional CBCT reconstruction incorporating a high quality planning scan. An additional head lear…
Predictive coding, precision and natural gradients
Andre Ofner, Raihan Kabir Ratul, Suhita Ghosh +1
There is an increasing convergence between biologically plausible computational models of inference and learning with local update rules and the global gradient-based optimization…
Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised Learning for Segmentation of Prostate Zones and Beyond
Anneke Meyer, Suhita Ghosh, Daniel Schindele +4
Various convolutional neural network (CNN) based concepts have been introduced for the prostate's automatic segmentation and its coarse subdivision into transition zone (TZ) and pe…
Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images
Soumick Chatterjee, Fatima Saad, Chompunuch Sarasaen +10
The outbreak of COVID-19 has shocked the entire world with its fairly rapid spread and has challenged different sectors. One of the most effective ways to limit its spread is the e…