Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model

no code implementations • 22 Aug 2023 • Yuezhou Zhang, Amos A Folarin, Judith Dineley, Pauline Conde, Valeria de Angel, Shaoxiong Sun, Yatharth Ranjan, Zulqarnain Rashid, Callum Stewart, Petroula Laiou, Heet Sankesara, Linglong Qian, Faith Matcham, Katie M White, Carolin Oetzmann, Femke Lamers, Sara Siddi, Sara Simblett, Björn W. Schuller, Srinivasan Vairavan, Til Wykes, Josep Maria Haro, Brenda WJH Penninx, Vaibhav A Narayan, Matthew Hotopf, Richard JB Dobson, NIcholas Cummins, RADAR-CNS consortium

Our study identified 29 topics in 3919 smartphone-collected speech recordings from 265 participants using the Whisper tool and BERTopic model.

Automatic Speech Recognition speech-recognition +1

Detecting the Severity of Major Depressive Disorder from Speech: A Novel HARD-Training Methodology

no code implementations • 2 Jun 2022 • Edward L. Campbell, Judith Dineley, Pauline Conde, Faith Matcham, Femke Lamers, Sara Siddi, Laura Docio-Fernandez, Carmen Garcia-Mateo, NIcholas Cummins, the RADAR-CNS Consortium

In this regard, speech samples were collected as part of the Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD) research programme.

Fitbeat: COVID-19 Estimation based on Wristband Heart Rate

no code implementations • 19 Apr 2021 • Shuo Liu, Jing Han, Estela Laporta Puyal, Spyridon Kontaxis, Shaoxiong Sun, Patrick Locatelli, Judith Dineley, Florian B. Pokorny, Gloria Dalla Costa, Letizia Leocan, Ana Isabel Guerrero, Carlos Nos, Ana Zabalza, Per Soelberg Sørensen, Mathias Buron, Melinda Magyari, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Callum Stewart, Amos A Folarin, Richard JB Dobson, Raquel Bailón, Srinivasan Vairavan, NIcholas Cummins, Vaibhav A Narayan, Matthew Hotopf, Giancarlo Comi, Björn Schuller

This study investigates the potential of deep learning methods to identify individuals with suspected COVID-19 infection using remotely collected heart-rate data.

Specificity

Voice command generation using Progressive Wavegans

no code implementations • 13 Mar 2019 • Thomas Wiest, NIcholas Cummins, Alice Baird, Simone Hantke, Judith Dineley, Björn Schuller

Generative Adversarial Networks (GANs) have become exceedingly popular in a wide range of data-driven research fields, due in part to their success in image generation.

Audio Generation Image Generation