Unveiling hidden factors: explainable AI for feature boosting in speech emotion recognition
Speech emotion recognition (SER) has gained significant attention due to its several
application fields, such as mental health, education, and human-computer interaction …
application fields, such as mental health, education, and human-computer interaction …
Analyzing and Comparing Deep Learning models on a ARM 32 bits microcontroller for pre-impact fall detection
A Benoit, C Escriba, D Gauchard, A Esteve… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
Automated pre-impact fall detection in real-time using raw data acquired from wearable
sensors, such as triaxial accelerometers, remains an open research problem in the context …
sensors, such as triaxial accelerometers, remains an open research problem in the context …
Mel-Scale Frequency Extraction and Classification of Dialect-Speech Signals with 1D CNN based Classifier for Gender and Region Recognition
HY Lai, CC Hu, CH Wen, JX Wu, NS Pai, CY Yeh… - IEEE …, 2024 - ieeexplore.ieee.org
Humans communicate and interact through natural languages, such as American English
(AE), Taiwanese, Italian, and numerous variants of Spanish. Through automatic speech …
(AE), Taiwanese, Italian, and numerous variants of Spanish. Through automatic speech …
A Lightweight Multi-Scale Model for Speech Emotion Recognition
H Li, D Zhao, J Wang, D Wang - IEEE Access, 2024 - ieeexplore.ieee.org
Recognizing emotional states from speech is essential for human-computer interaction. It is
challenging to realize effective speech emotion recognition (SER) on platforms with limited …
challenging to realize effective speech emotion recognition (SER) on platforms with limited …
Feature fusion: research on emotion recognition in English speech
Y Yang - International Journal of Speech Technology, 2024 - Springer
Abstract English speech incorporates numerous features associated with the speaker's
emotions, offering valuable cues for emotion recognition. This paper begins by briefly …
emotions, offering valuable cues for emotion recognition. This paper begins by briefly …
An Extensive Investigation of Deep Learning Techniques for Audio-Visual Speech Recognition
LK Kuriakose, JP Dhas - 2024 Second International …, 2024 - ieeexplore.ieee.org
Audio-visual speech recognition (AVSR) is a dynamic field that has emerged at the
intersection of computer vision and voice processing. This paper, indepth, examines the …
intersection of computer vision and voice processing. This paper, indepth, examines the …
Iterative Feature Boosting for Explainable Speech Emotion Recognition
In speech emotion recognition (SER), using predefined features without considering their
practical importance may lead to high dimensional datasets, including redundant and …
practical importance may lead to high dimensional datasets, including redundant and …
[PDF][PDF] Human activity recognition using deep learning
D Spilette, C Pecheur - dial.uclouvain.be
This thesis explores the detection of" Freezing of Gait"(FOG) events within the broader
domain of Human Activity Recognition (HAR), with a focus on the application of deep …
domain of Human Activity Recognition (HAR), with a focus on the application of deep …