Human‐Computer Interaction with Detection of Speaker Emotions Using Convolution Neural Networks
AA Alnuaim, M Zakariah, A Alhadlaq… - Computational …, 2022 - Wiley Online Library
Emotions play an essential role in human relationships, and many real‐time applications
rely on interpreting the speaker's emotion from their words. Speech emotion recognition …
rely on interpreting the speaker's emotion from their words. Speech emotion recognition …
Real-time speech emotion recognition using a pre-trained image classification network: Effects of bandwidth reduction and companding
M Lech, M Stolar, C Best, R Bolia - Frontiers in Computer Science, 2020 - frontiersin.org
This paper examines the effects of reduced speech bandwidth and the μ-low companding
procedure used in transmission systems on the accuracy of speech emotion recognition …
procedure used in transmission systems on the accuracy of speech emotion recognition …
Improvement of speech emotion recognition with neural network classifier by using speech spectrogram
S Prasomphan - … Conference on Systems, Signals and Image …, 2015 - ieeexplore.ieee.org
This research presents a novel algorithm for detecting human emotion via speech
recognition by using speech spectrogram. The proposed algorithm aims to detect the …
recognition by using speech spectrogram. The proposed algorithm aims to detect the …
Detecting human emotion via speech recognition by using speech spectrogram
S Prasomphan - 2015 IEEE International Conference on Data …, 2015 - ieeexplore.ieee.org
This research presents a novel algorithm for detecting human emotion via speech
recognition by using speech spectrogram. The proposed algorithm aims to detect the …
recognition by using speech spectrogram. The proposed algorithm aims to detect the …
On the impact of annotation errors on unit-selection speech synthesis
Unit selection is a very popular approach to speech synthesis. It is known for its ability to
produce nearly natural-sounding synthetic speech, but, at the same time, also for its need for …
produce nearly natural-sounding synthetic speech, but, at the same time, also for its need for …
Speech and Text-Based Emotion Recognizer
V Sharma - arXiv preprint arXiv:2312.11503, 2023 - arxiv.org
Affective computing is a field of study that focuses on developing systems and technologies
that can understand, interpret, and respond to human emotions. Speech Emotion …
that can understand, interpret, and respond to human emotions. Speech Emotion …
Double fourier analysis for emotion identification in voiced speech
D Sierra-Sosa, M Bastidas… - Journal of Physics …, 2016 - iopscience.iop.org
We propose a novel analysis alternative, based on two Fourier Transforms for emotion
recognition from speech. Fourier analysis allows for display and synthesizes different …
recognition from speech. Fourier analysis allows for display and synthesizes different …
[PDF][PDF] Evaluation of Spectral and Prosodic Features of Speech Affected by Orthodontic Appliances Using the GMM Classifier
J Přibil, A Přibilová, D Ďuračkoá - Journal of Electrical Engineering, 2014 - sciendo.com
The paper describes our experiment with using the Gaussian mixture models (GMM) for
classification of speech uttered by a person wearing orthodontic appliances. For the GMM …
classification of speech uttered by a person wearing orthodontic appliances. For the GMM …
[PDF][PDF] Discriminating between high-arousal and low-arousal emotional states of mind using acoustic analysis
E Ramdinmawii, VK Mittal - Proc. Workshop on Speech, Music and …, 2018 - isca-archive.org
Identification of emotions from human speech can be attempted by focusing upon three
aspects of emotional speech: valence, arousal and dominance. In this paper, changes in the …
aspects of emotional speech: valence, arousal and dominance. In this paper, changes in the …
[PDF][PDF] Use of Neural Network Classifier for Detecting Human Emotions via Speech Spectrogram
S Parsomphan - Procedings of the 3rd IIAE International …, 2015 - pdfs.semanticscholar.org
The goal of this research is to present the algorithm for emotion recognition of speech based
on neural networks. The input for neural network should be the partitions of speech …
on neural networks. The input for neural network should be the partitions of speech …