Adria Mallol-Ragolta — accepted AI-conference papers

2023

COVID-19 Detection from Speech in Noisy Conditions

Shuo Liu, Adria Mallol-Ragolta, Björn W. Schuller

ICASSP 2023accepted

We explore the integration of audio enhancement into a speech-based COVID-19 detection system in an attempt to make speech captured in noisy environments from everyday life useful for the detection of the virus. For this purpose, two multi-task learning approaches are exploited to jointly optimise a…

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2021

A Novel Attention-Based Gated Recurrent Unit and its Efficacy in Speech Emotion Recognition

Srividya Tirunellai Rajamani, Kumar T. Rajamani, Adria Mallol-Ragolta, Shuo Liu, Björn W. Schuller

ICASSP 2021accepted

Notwithstanding the significant advancements in the field of deep learning, the basic long short-term memory (LSTM) or Gated Recurrent Unit (GRU) units have largely remained unchanged and unexplored. There are several possibilities in advancing the state-of-art by rightly adapting and enhancing the…

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