Evaluating deep learning architectures for speech emotion recognition
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 …
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 …
diagnosis and progression of various neurological diseases. Many researchers have relied …
A speech-based prognostic model for dysarthria progression in ALS
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 …
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 …
and speech emotion recognition model. This paper chooses valid emotional features and …
Linguistic and gender variation in speech emotion recognition using spectral features
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 …
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 …
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 …
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 …
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 …
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 …
Japan. Also, the high re-hospitalization rate affects their quality of life (QoL). Despite being …