Evaluating deep learning architectures for speech emotion recognition

HM Fayek, M Lech, L Cavedon - Neural Networks, 2017 - Elsevier
Abstract Speech Emotion Recognition (SER) can be regarded as a static or dynamic
classification problem, which makes SER an excellent test bed for investigating and …

Repeatability of commonly used speech and language features for clinical applications

GM Stegmann, S Hahn, J Liss, J Shefner… - Digital …, 2020 - karger.com
Introduction: Changes in speech have the potential to provide important information on the
diagnosis and progression of various neurological diseases. Many researchers have relied …

A speech-based prognostic model for dysarthria progression in ALS

G Stegmann, S Charles, J Liss, J Shefner… - … Lateral Sclerosis and …, 2023 - Taylor & Francis
Objective We demonstrated that it was possible to predict ALS patients' degree of future
speech impairment based on past data. We used longitudinal data from two ALS studies …

[PDF][PDF] Speech emotion recognition based on SVM and ANN

X Ke, Y Zhu, L Wen, W Zhang - … Journal of Machine Learning and Computing, 2018 - ijml.org
Speech emotion recognition mainly includes emotion feature extraction, feature reduction
and speech emotion recognition model. This paper chooses valid emotional features and …

Linguistic and gender variation in speech emotion recognition using spectral features

Z Dair, R Donovan, R O'Reilly - arXiv preprint arXiv:2112.09596, 2021 - arxiv.org
This work explores the effect of gender and linguistic-based vocal variations on the accuracy
of emotive expression classification. Emotive expressions are considered from the …

Software development framework for real-time face detection and recognition in mobile devices

L Rai, Z Wang, A Rodrigo, Z Deng, H Liu - 2020 - learntechlib.org
With the rapid use of Android OS in mobile devices and related products, face recognition
technology is an essential feature, so that mobile devices have a strong personal identity …

Speech emotion recognition using deep neural networks

S Ullah, QA Sahib, S Ullahh, IU Haq… - … Conference on IT and …, 2022 - ieeexplore.ieee.org
Emotion recognition in speech has received a lot of attention in the field of psychology and
cognitive science, but in recent generations, data science has given Speech emotion …

Brapolar: An M-health application for remote monitoring of people with bipolar disorder

AG Mondéjar, GFM Silva-Calpa… - 2019 IEEE 7th …, 2019 - ieeexplore.ieee.org
Bipolar Disorder (BD) is a disease characterized by unusual changes in mood, energy,
activity levels, and self-awareness of the condition. Research related to the screening and …

External attention LSTM models for cognitive load classification from speech

A Gallardo-Antolín, JM Montero - International Conference on Statistical …, 2019 - Springer
Cognitive Load (CL) refers to the amount of mental demand that a given task imposes on an
individual's cognitive system and it can affect his/her productivity in very high load situations …

Estimation of subjective quality of life in schizophrenic patients using speech features

Y Shibata, JN Victorino, T Natsuyama… - Frontiers in …, 2023 - frontiersin.org
Introduction Patients with schizophrenia experience the most prolonged hospital stay in
Japan. Also, the high re-hospitalization rate affects their quality of life (QoL). Despite being …