3 citations · 7 across the 10 of their papers we have counts for
11 papers
Is Natural Always Appropriate? Investigating Naturalness and Appropriateness Across Different Domains for TTS Evaluation
Dominika Woszczyk, Andreas Triantafyllopoulos, Jura Miniota +2
Text-to-speech (TTS) evaluation is an open challenge. While the primary target was "naturalness," recent fidelity gains shifted focus toward "appropriateness" and whether speech is…
Understanding Dementia Speech Alignment with Diffusion-Based Image Generation
Mansi, Anastasios Lepipas, Dominika Woszczyk +2
Text-to-image models generate highly realistic images based on natural language descriptions and millions of users use them to create and share images online. While it is expected…
Voice Conversion for Lombard Speaking Style with Implicit and Explicit Acoustic Feature Conditioning
Dominika Woszczyk, Manuel Sam Ribeiro, Thomas Merritt +1
Text-to-Speech (TTS) systems in Lombard speaking style can improve the overall intelligibility of speech, useful for hearing loss and noisy conditions. However, training those mode…
ClaritySpeech: Dementia Obfuscation in Speech
Dominika Woszczyk, Ranya Aloufi, Soteris Demetriou
Dementia, a neurodegenerative disease, alters speech patterns, creating communication barriers and raising privacy concerns. Current speech technologies, such as automatic speech t…
DiDOTS: Knowledge Distillation from Large-Language-Models for Dementia Obfuscation in Transcribed Speech
Dominika Woszczyk, Soteris Demetriou
Dementia is a sensitive neurocognitive disorder affecting tens of millions of people worldwide and its cases are expected to triple by 2050. Alarmingly, recent advancements in deme…
Prosody-Driven Privacy-Preserving Dementia Detection
Dominika Woszczyk, Ranya Aloufi, Soteris Demetriou
Speaker embeddings extracted from voice recordings have been proven valuable for dementia detection. However, by their nature, these embeddings contain identifiable information whi…
Data Augmentation for Dementia Detection in Spoken Language
Anna Hlédiková, Dominika Woszczyk, Alican Akman +2
Dementia is a growing problem as our society ages, and detection methods are often invasive and expensive. Recent deep-learning techniques can offer a faster diagnosis and have sho…
Characterizing Improper Input Validation Vulnerabilities of Mobile Crowdsourcing Services
Sojhal Ismail Khan, Dominika Woszczyk, Chengzeng You +2
Mobile crowdsourcing services (MCS), enable fast and economical data acquisition at scale and find applications in a variety of domains. Prior work has shown that Foursquare and Wa…
Open, Sesame! Introducing Access Control to Voice Services
Dominika Woszczyk, Alvin Lee, Soteris Demetriou
Personal voice assistants (VAs) are shown to be vulnerable against record-and-replay, and other acoustic attacks which allow an adversary to gain unauthorized control of connected…
Domain Adversarial Neural Networks for Dysarthric Speech Recognition
Dominika Woszczyk, Stavros Petridis, David Millard
Speech recognition systems have improved dramatically over the last few years, however, their performance is significantly degraded for the cases of accented or impaired speech. Th…
MaaSim: A Liveability Simulation for Improving the Quality of Life in Cities
Dominika Woszczyk, Gerasimos Spanakis
Urbanism is no longer planned on paper thanks to powerful models and 3D simulation platforms. However, current work is not open to the public and lacks an optimisation agent that c…