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A review on speech emotion recognition using deep learning and attention mechanism
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 …
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 …
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
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 …
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
The INTERSPEECH 2021 Computational Paralinguistics Challenge addresses four different
problems for the first time in a research competition under well-defined conditions: In the …
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
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 …
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
Abstract The INTERSPEECH 2016 Computational Paralinguistics Challenge addresses
three different problems for the first time in research competition under well-defined …
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
Abstract The INTERSPEECH 2020 Computational Paralinguistics Challenge addresses
three different problems for the first time in a research competition under well-defined …
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
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 …
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 …
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
Basic Emotion theory has had a tremendous influence on the affective sciences, including
music psychology, where most researchers have assumed that music expressivity is …
music psychology, where most researchers have assumed that music expressivity is …