Results 61 to 70 of about 417,336 (324)

An Ensemble Model for Multi-Level Speech Emotion Recognition

Applied Sciences, 2019
Speech emotion recognition is a challenging and widely examined research topic in the field of speech processing. The accuracy of existing models in speech emotion recognition tasks is not high, and the generalization ability is not strong.
Chunjun Zheng, Chunli Wang, Ning Jia
doaj   +1 more source

Speech Emotion Recognition Method Based on Multiple Kernel Learning Feature Fusion [PDF]

Jisuanji gongcheng, 2019
Extracting the Mel-Frequency Cepstral Coefficients(MFCC) in speech emotion recognition will lose the spectral feature information,resulting in a low accuracy of emotion recognition.Therefore,a speech emotion recognition method combining MFCC and ...
WANG Zhongmin, LIU Ge, SONG Hui
doaj   +1 more source

Transferable Positive/Negative Speech Emotion Recognition via Class-wise Adversarial Domain Adaptation [PDF]

, 2019
Speech emotion recognition plays an important role in building more intelligent and human-like agents. Due to the difficulty of collecting speech emotional data, an increasingly popular solution is leveraging a related and rich source corpus to help ...
Chen, Ke, Zhou, Hao
core   +2 more sources

Speech Emotion Recognition Based on Attention MCNN Combined With Gender Information

IEEE Access, 2023
Emotion recognition is susceptible to interference such as feature redundancy and speaker gender differences, resulting in low recognition accuracy. This paper proposes a speech emotion recognition (SER) method based on attention mixed convolutional ...
Zhangfang Hu, Kehuan LingHu, Hongling Yu, Chenzhuo Liao   +3 more
doaj   +1 more source

Feature extraction based on bio-inspired model for robust emotion recognition [PDF]

, 2016
Emotional state identification is an important issue to achieve more natural speech interactive systems. Ideally, these systems should also be able to work in real environments in which generally exist some kind of noise.
A Batliner, A Kapoor, AI Iliev, B Schuller, B Yang, C Clavel, C Martínez, C Martínez, D Giakoumis, D Morrison, Diego H. Milone, EM Albornoz, Enrique M. Albornoz, G Chanel, Hugo L. Rufiner, I Luengo Gil, J Adell Mercado, J Kim, J Kim, JR Deller Jr, K Schindler, KP Truong, M Ayadi El, M Wöllmer, N Cummins, N Mesgarani, S Koolagudi, S Shojaeilangari, S Yildirim, SA Shamma, T Chi, X Yang, Y Wang, Z Zeng   +33 more
core   +1 more source

Speech Based Emotion Recognition

International Journal for Research in Applied Science and Engineering Technology, 2022
Abstract: In this paper we are exhibiting our Final Year Project which is Speech Emotion Recognition. Today's hot study issue is speech and emotion detection, with the goal of improving human-machine connection. Currently, the majority of research in this field relies on discriminator extraction to classify emotions into several categories.
openaire   +1 more source

A comprehensive study on bilingual and multilingual speech emotion recognition using a two-pass classification scheme.

PLoS ONE, 2019
Emotion recognition plays an important role in human-computer interaction. Previously and currently, many studies focused on speech emotion recognition using several classifiers and feature extraction methods.
Panikos Heracleous, Akio Yoneyama
doaj   +1 more source

End-to-End Speech Emotion Recognition With Gender Information

IEEE Access, 2020
Many works have focused on speech emotion recognition algorithms. However, most rely on the proper selection of speech acoustic features. In this paper, we propose a novel emotion recognition algorithm that does not rely on any speech acoustic features ...
Ting-Wei Sun
doaj   +1 more source

Speech Emotion Recognition Based on Memory Capsules and Attention [PDF]

Jisuanji gongcheng
In current speech emotion recognition systems, the insufficient extraction of emotional features and inadequate modeling ability of models for complex emotional expressions have resulted in decreased recognition accuracy. This paper proposes a method for
DONG Hongliang, NIU Yan, SUN Yang, LI Jun
doaj   +1 more source

Design of the Speech Emotion Recognition Model

Engineering Proceedings, 2023
Existing emotional feature methods only represent the limited information on the emotional state and lack the mining and utilization of the correlation between emotional features.
Hanping Ke, Feng Luo, Manyin Shi
doaj   +1 more source