A review on speech emotion recognition using deep learning and attention mechanism

E Lieskovská, M Jakubec, R Jarina, M Chmulík - Electronics, 2021 - mdpi.com
Emotions are an integral part of human interactions and are significant factors in determining
user satisfaction or customer opinion. speech emotion recognition (SER) modules also play …

Speech emotion recognition: Two decades in a nutshell, benchmarks, and ongoing trends

BW Schuller - Communications of the ACM, 2018 - dl.acm.org
Speech emotion recognition: two decades in a nutshell, benchmarks, and ongoing trends Page
1 90 COMMUNICATIONS OF THE ACM | MAY 2018 | VOL. 61 | NO. 5 review articles ILL US …

The Geneva minimalistic acoustic parameter set (GeMAPS) for voice research and affective computing

F Eyben, KR Scherer, BW Schuller… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Work on voice sciences over recent decades has led to a proliferation of acoustic
parameters that are used quite selectively and are not always extracted in a similar fashion …

The INTERSPEECH 2021 computational paralinguistics challenge: COVID-19 cough, COVID-19 speech, escalation & primates

BW Schuller, A Batliner, C Bergler, C Mascolo… - arxiv preprint arxiv …, 2021 - arxiv.org
The INTERSPEECH 2021 Computational Paralinguistics Challenge addresses four different
problems for the first time in a research competition under well-defined conditions: In the …

Recent developments in opensmile, the munich open-source multimedia feature extractor

F Eyben, F Weninger, F Gross, B Schuller - Proceedings of the 21st ACM …, 2013 - dl.acm.org
We present recent developments in the openSMILE feature extraction toolkit. Version 2.0
now unites feature extraction paradigms from speech, music, and general sound events with …

[PDF][PDF] The INTERSPEECH 2016 computational paralinguistics challenge: deception, sincerity and native language

B Schuller, S Steidl, A Batliner, J Hirschberg… - 2016 - opus.bibliothek.uni-augsburg.de
Abstract The INTERSPEECH 2016 Computational Paralinguistics Challenge addresses
three different problems for the first time in research competition under well-defined …

[PDF][PDF] The interspeech 2020 computational paralinguistics challenge: Elderly emotion, breathing & masks

BW Schuller, A Batliner, C Bergler, EM Messner… - 2020 - opus.bibliothek.uni-augsburg.de
Abstract The INTERSPEECH 2020 Computational Paralinguistics Challenge addresses
three different problems for the first time in a research competition under well-defined …

The sound of emotions—Towards a unifying neural network perspective of affective sound processing

S Frühholz, W Trost, SA Kotz - Neuroscience & Biobehavioral Reviews, 2016 - Elsevier
Affective sounds are an integral part of the natural and social environment that shape and
influence behavior across a multitude of species. In human primates, these affective sounds …

[SÁCH][B] Real-time speech and music classification by large audio feature space extraction

F Eyben - 2015 - books.google.com
This book reports on an outstanding thesis that has significantly advanced the state-of-the-
art in the automated analysis and classification of speech and music. It defines several …

Music communicates affects, not basic emotions–A constructionist account of attribution of emotional meanings to music

J Cespedes-Guevara, T Eerola - Frontiers in psychology, 2018 - frontiersin.org
Basic Emotion theory has had a tremendous influence on the affective sciences, including
music psychology, where most researchers have assumed that music expressivity is …