Assessment of groundwater potential based on multicriteria decision making model and decision tree algorithms
H Duan, Z Deng, F Deng… - Mathematical Problems in …, 2016 - Wiley Online Library
Groundwater plays an important role in global climate change and satisfying human needs.
In the study, RS (remote sensing) and GIS (geographic information system) were utilized to …
In the study, RS (remote sensing) and GIS (geographic information system) were utilized to …
Speech emotion recognition research: an analysis of research focus
This article analyses research in speech emotion recognition (“SER”) from 2006 to 2017 in
order to identify the current focus of research, and areas in which research is lacking. The …
order to identify the current focus of research, and areas in which research is lacking. The …
Audio watermarking for security and non-security applications
The digitization of audiovisual data is significantly increasing. Thus, to guarantee the
protection of the intellectual properties of this digital content, watermarking has appeared as …
protection of the intellectual properties of this digital content, watermarking has appeared as …
Speech emotion recognition in Persian based on stacked autoencoder by comparing local and global features
A Bastanfard, A Abbasian - Multimedia Tools and Applications, 2023 - Springer
Among the barriers to establishing effective human-machine interactions is the machines'
inability to properly distinguish emotions from the human voice. The Speech Emotion …
inability to properly distinguish emotions from the human voice. The Speech Emotion …
Use of different features for emotion recognition using MLP network
Emotion recognition of human being is one of the major challenges in modern complicated
world of political and criminal scenario. In this paper, an attempt is taken to recognise two …
world of political and criminal scenario. In this paper, an attempt is taken to recognise two …
Emotion recognition using MLP and GMM for Oriya language
Emotion recognition of human beings is one of the major challenges in the modern
complicated world of political and criminal scenario. In this paper an attempt is taken to …
complicated world of political and criminal scenario. In this paper an attempt is taken to …
[PDF][PDF] Classification of emotional speech of children using probabilistic neural network
HK Palo, MN Mohanty - International Journal of Electrical and …, 2015 - academia.edu
Child emotions are highly flexible and overlapping. The recognition is a difficult task when
single emotion conveys multiple informations. We analyze the relevance and importance of …
single emotion conveys multiple informations. We analyze the relevance and importance of …
Design of neural network model for emotional speech recognition
Human–computer interaction (HCI) needs to be improved for the field of recognition and
detection. Exclusively, the emotion recognition has major impact on social, engineering, and …
detection. Exclusively, the emotion recognition has major impact on social, engineering, and …
Comparison of classifiers for speech emotion recognition (SER) with discriminative spectral features
This paper compares the classification ability of a few efficient classifiers in recognizing
human speech emotions in terms of accuracy, computation time, and feature dimension …
human speech emotions in terms of accuracy, computation time, and feature dimension …
Structure and weights optimisation of a modified Elman network emotion classifier using hybrid computational intelligence algorithms: a comparative study
M Sheikhan, M Abbasnezhad Arabi… - Connection …, 2015 - Taylor & Francis
Artificial neural networks are efficient models in pattern recognition applications, but their
performance is dependent on employing suitable structure and connection weights. This …
performance is dependent on employing suitable structure and connection weights. This …