Emotion recognition for romanian language using mfsc images with deep-learning neural networks
MD Zbancioc, SM Feraru - 2021 International Conference on e …, 2021 - ieeexplore.ieee.org
The objective of this paper is to study the emotion recognition for the Romanian language
using MFSC images (Mel Frequency Spectral Coefficients) with DL-NN (Deep Learning …
using MFSC images (Mel Frequency Spectral Coefficients) with DL-NN (Deep Learning …
Using the lyapunov exponent from cepstral coefficients for automatic emotion recognition
MD Zbancioc, M Feraru - 2014 International Conference and …, 2014 - ieeexplore.ieee.org
The main goal of this paper is to establish the relevance of nonlinear parameters (Lyapunov
exponents) in the automatic classification of emotions, for the Romanian language. The …
exponents) in the automatic classification of emotions, for the Romanian language. The …
Integrated system for prosodic features detection from speech
MD Zbancioc, M Feraru - 2014 International Conference and …, 2014 - ieeexplore.ieee.org
The paper presents the instruments implemented in SROL (Voiced Sound of Romanian
Project) used for the extraction of the fundamental frequency F0 and of the formants F1-F4 …
Project) used for the extraction of the fundamental frequency F0 and of the formants F1-F4 …
Optimized segmentation method of the vocal signal with predictive neural network
MD Zbancioc, SM Feraru - Proceedings of the 2014 6th …, 2014 - ieeexplore.ieee.org
This paper presents an efficient segmentation method which uses simple neural network
architecture. The goal was to implement an automatic annotation instrument of the vocal …
architecture. The goal was to implement an automatic annotation instrument of the vocal …
Designing Text Entry Methods for Non-Verbal Vocal Input
O Poláček - 2014 - search.proquest.com
In recent years, a lot of research effort can be observed within the field of computer
accessibility focusing on design of text entry methods for people with various impairments …
accessibility focusing on design of text entry methods for people with various impairments …
[PDF][PDF] Arabic Speech Segmentation Into Syllables Using Neural Networks
ABSTRACT The “Neural Network based Arabic Speech Segmentation System (NNASS)” is
an adaptive Arabic speech syllable boundaries identifier that mainly serves as an automatic …
an adaptive Arabic speech syllable boundaries identifier that mainly serves as an automatic …