Speech technology progress based on new machine learning paradigm

V Delić, Z Perić, M Sečujski… - Computational …, 2019 - Wiley Online Library
Speech technologies have been developed for decades as a typical signal processing area,
while the last decade has brought a huge progress based on new machine learning …

Design and analysis of linear phase finite impulse response filter using water strider optimization algorithm in FPGA

R Karthick, A Senthilselvi, P Meenalochini… - Circuits, Systems, and …, 2022 - Springer
In this manuscript, an optimal linear phase finite impulse response (FIR) filter is designed
using water strider optimization algorithm and implemented in the field programmable gate …

Waveform based speech coding using nonlinear predictive techniques: a systematic review

GK Sheferaw, W Mwangi, M Kimwele… - International Journal of …, 2023 - Springer
Speech coding is a technique that compresses speech signals into a smaller digital form,
making it easier to transmit or store, while still maintaining the quality and intelligibility of the …

Effectiveness and stakeholders' perceptions of the integration of automated e-learning courses into vocational education programmes in universities in Ukraine

VI Bobrytska, TD Reva, SM Protska… - International Journal of …, 2020 - ijlter.net
The purpose of this research was to identify whether the integration of the automated
vocational e-courses into vocational education could bring the students to the same …

Speech compression and encryption based on discrete wavelet transform and chaotic signals

AS Hameed - Multimedia Tools and Applications, 2021 - Springer
To increase transfer and storage efficiencies of the information, data compression has
emerged as a significant issue in the communication environments. This paper introduces …

Subjective and objective assessment of full bandwidth speech quality

JG Beerends, NMP Neumann… - … on Audio, Speech …, 2019 - ieeexplore.ieee.org
With the introduction of fullband speech coding the question arises what role frequency
components above 14 kHz play in speech quality assessment. On the one hand, our results …

Feature extraction and classification of cataluminescence images based on sparse coding convolutional neural networks

G Shi, Y He, C Zhang - IEEE Transactions on Instrumentation …, 2020 - ieeexplore.ieee.org
The atmosphere of human existence is increasingly complex, and various harmful gases
seriously endanger human health. Therefore, it is necessary to quickly and accurately detect …

[HTML][HTML] Voice analysis to differentiate the dopaminergic response in people with Parkinson's disease

A Jain, K Abedinpour, O Polat, MM Çalışkan… - Frontiers in Human …, 2021 - frontiersin.org
Humans' voice offers the widest variety of motor phenomena of any human activity.
However, its clinical evaluation in people with movement disorders such as Parkinson's …

An efficient state detection of a person by fusion of acoustic and alcoholic features using various classification algorithms

VV Shenoi, S Kuchibhotla, P Kotturu - International Journal of Speech …, 2020 - Springer
In this paper, we present a novel approach for extracting emotional information along with
the state of intoxication. Conventional methods use features for identifying the state of …

Some remarks about entropy of digital filtered signals

VS Borges, EG Nepomuceno, CA Duque, DN Butusov - Entropy, 2020 - mdpi.com
The finite numerical resolution of digital number representation has an impact on the
properties of filters. Much effort has been done to develop efficient digital filters investigating …