Enhanced multimodal emotion recognition in healthcare analytics: A deep learning based model-level fusion approach
Deep learning techniques have drawn considerable interest in emotion recognition due to
recent technological developments in healthcare analytics. Automatic patient emotion …
recent technological developments in healthcare analytics. Automatic patient emotion …
Determination of instantaneous fundamental frequency of speech signals using variational mode decomposition
In this paper, a novel approach is proposed to determine instantaneous fundamental
frequency (IFF) of speech signals. In the proposed method, the detected voiced speech …
frequency (IFF) of speech signals. In the proposed method, the detected voiced speech …
A nonparametric approach for multicomponent AM–FM signal analysis
In this paper, a novel method is presented to analyze the amplitude modulated and
frequency modulated (AM–FM) multicomponent signals using a combination of the …
frequency modulated (AM–FM) multicomponent signals using a combination of the …
Epoch estimation from emotional speech signals using variational mode decomposition
This paper presents a novel approach for the estimation of epochs from the emotional
speech signal. Epochs are the locations of significant excitation in the vocal tract during the …
speech signal. Epochs are the locations of significant excitation in the vocal tract during the …
Accurate estimation of glottal closure instants and glottal opening instants from electroglottographic signal using variational mode decomposition
The objective of the proposed work is to accurately estimate the glottal closure instants
(GCIs) and glottal opening instant (GOIs) from electroglottographic (EGG) signals. This work …
(GCIs) and glottal opening instant (GOIs) from electroglottographic (EGG) signals. This work …
Pitch of voiced speech in the short-time Fourier transform: Algorithms, ground truths, and evaluation methods
B Bechtold - 2021 - oops.uni-oldenburg.de
This dissertation investigates algorithms for estimating pitch in the human voice. Many such
algorithms exist, and claim to be accurate even in high levels of noise. Pitch, however, is a …
algorithms exist, and claim to be accurate even in high levels of noise. Pitch, however, is a …
Instantaneous Fundamental Frequency Estimation from Speech using Fourier Decomposition Method
Speech analysis and various speech processing applications use instantaneous
fundamental frequency (F_0) of voiced speech signal as a prime acoustic parameter. The …
fundamental frequency (F_0) of voiced speech signal as a prime acoustic parameter. The …
Frequency Shifting-based Variational Mode Decomposition Method for Speech Signal Decomposition
W Liu, W Hu, D Fu - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
In order to solve the problem of mode mixing and mode aliasing arising from speech
decomposition, this paper proposes a speech signal decomposition method based on …
decomposition, this paper proposes a speech signal decomposition method based on …
Automatic audio based emotion recognition system: Scope and challenges
Emotion is an integral part of human behavior and inherited property in all mode of
communication. We, human is well trained thought your experience reading recognition of …
communication. We, human is well trained thought your experience reading recognition of …
Improved epoch extraction using variational mode decomposition based spectral smoothing of zero frequency filtered emotive speech signals
The objective of the present work is to improve the epoch extraction performance from
emotive speech by proposing a post processing approach to the conventional zero …
emotive speech by proposing a post processing approach to the conventional zero …