Search Results for author: Alican Akman

Found 4 papers, 1 papers with code

Data Augmentation for Dementia Detection in Spoken Language

1 code implementation26 Jun 2022 Anna Hlédiková, Dominika Woszczyk, Alican Akman, Soteris Demetriou, Björn Schuller

In this work, we investigate data augmentation techniques for the task of AD detection and perform an empirical evaluation of the different approaches on two kinds of models for both the text and audio domains.

Data Augmentation

Climate Change & Computer Audition: A Call to Action and Overview on Audio Intelligence to Help Save the Planet

no code implementations10 Mar 2022 Björn W. Schuller, Alican Akman, Yi Chang, Harry Coppock, Alexander Gebhard, Alexander Kathan, Esther Rituerto-González, Andreas Triantafyllopoulos, Florian B. Pokorny

We categorise potential computer audition applications according to the five elements of earth, water, air, fire, and aether, proposed by the ancient Greeks in their five element theory; this categorisation serves as a framework to discuss computer audition in relation to different ecological aspects.

Evaluating the COVID-19 Identification ResNet (CIdeR) on the INTERSPEECH COVID-19 from Audio Challenges

no code implementations30 Jul 2021 Alican Akman, Harry Coppock, Alexander Gaskell, Panagiotis Tzirakis, Lyn Jones, Björn W. Schuller

We report on cross-running the recent COVID-19 Identification ResNet (CIdeR) on the two Interspeech 2021 COVID-19 diagnosis from cough and speech audio challenges: ComParE and DiCOVA.

COVID-19 Diagnosis

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