Enhancing speech emotion recognition using deep convolutional neural networks

MMM Islam, MA Kabir, A Sheikh… - Proceedings of the …, 2024 - dl.acm.org
Speech emotion recognition (SER) is considered a pivotal area of research that holds
significant importance in a variety of real-time applications, such as assessing human …

A Wearable Assistant Device for the Hearing Impaired to Recognize Emergency Vehicle Sirens with Edge Computing

CL Chin, CC Lin, JW Wang, WC Chin, YH Chen… - Sensors, 2023 - mdpi.com
Wearable assistant devices play an important role in daily life for people with disabilities.
Those who have hearing impairments may face dangers while walking or driving on the …

Enhancing Speech Emotions Recognition Using Multivariate Functional Data Analysis

M Saumard - Big Data and Cognitive Computing, 2023 - mdpi.com
Speech Emotions Recognition (SER) has gained significant attention in the fields of human–
computer interaction and speech processing. In this article, we present a novel approach to …

Pointing Frame Estimation with Audio-Visual Time Series Data for Daily Life Service Robots

H Nakagawa, S Hasegawa, Y Hagiwara… - … on Systems, Man …, 2024 - ieeexplore.ieee.org
Daily life support robots in the home environment interpret the user's pointing and
understand the instructions, thereby increasing the number of instructions accomplished …

Learning a Parallel Network for Emotion Recognition Based on Small Training Data

A Ochi, X Kang - … 8th International Conference on Systems and …, 2022 - ieeexplore.ieee.org
Speech emotion recognition (SER) classifies speech into emotion categories such as
“happy”,“sad”, and “angry”. Speech emotion recognition has attracted more and more …

Deep functional multiple index models with an application to SER

M Saumard, AE Haj, T Napoleon - arXiv preprint arXiv:2403.17562, 2024 - arxiv.org
Speech Emotion Recognition (SER) plays a crucial role in advancing human-computer
interaction and speech processing capabilities. We introduce a novel deep-learning …

Learning a Bimodal Emotion Recognition System Based on Small Amount of Speech Data

J Furutani, X Kang, K Kiuchi… - … on Systems and …, 2022 - ieeexplore.ieee.org
This paper presents a bimodal emotion recognition system based on the voice and text
information using small amount of speech data. Specifically, speech is divided into voice …

Voice Analysis and Deep Learning for Detecting Mental Disorders in Pregnant Women: A Cross-sectional Study

H Ooba, J Maki, H Masuyama - 2024 - researchsquare.com
Introduction: Perinatal mental disorders are common, affecting 10–20% of pregnant women.
Traditional screening tools, such as the Edinburgh Postnatal Depression Scale (EPDS) …

PTAC: Personal Utterance Counter For Well-being

M Matoba, M Ishizaka, Y Tobe - … of the Behavior Transformation by IoT …, 2024 - dl.acm.org
With the recent increase in health consciousness, the use of pedometers and wearable
devices that measure the amount of exercise and biometrics in daily life has been …

Reconocimiento híbrido de emociones a partir del análisis de voz y de expresiones faciales

JA Carrasco Jiménez - REPOSITORIO NACIONAL …, 2023 - repositorio.utm.mx
Con el fin de encontrar modelos precisos de alta exactitud de clasificación para el
reconocimiento de emociones mediante la voz, se utilizan diferentes técnicas con redes …