[HTML][HTML] Voice spoofing detection for multiclass attack classification using deep learning

J Boyd, M Fahim, O Olukoya - Machine Learning With Applications, 2023 - Elsevier
Voice biometric authentication is increasingly gaining adoption in organisations with high-
volume identity verifications and for providing access to physical and other virtual spaces. In …

Audio-as-Data Tools: Replicating Computational Data Processing

J Lukito, J Greenfield, Y Yang, R Dahlke… - Media and …, 2024 - cogitatiopress.com
The rise of audio-as-data in social science research accentuates a fundamental challenge:
establishing reproducible and reliable methodologies to guide this emerging area of study …

GCF2-Net: global-aware cross-modal feature fusion network for speech emotion recognition

F Li, J Luo, L Wang, W Liu, X Sang - Frontiers in Neuroscience, 2023 - frontiersin.org
Emotion recognition plays an essential role in interpersonal communication. However,
existing recognition systems use only features of a single modality for emotion recognition …

Multimodal characterization of emotion within multimedia space

DS Banjo, C Trimmingham, N Yousefi… - arXiv preprint arXiv …, 2023 - arxiv.org
Technological advancement and its omnipresent connection have pushed humans past the
boundaries and limitations of a computer screen, physical state, or geographical location. It …

Machine Learning based Human eye disease interpretation

M NIZAM, S ZANETA, F BASRI - International Journal of communication …, 2023 - ijccts.org
In this section, a various levelled picture matting method is utilized to extract veins from
fundus pictures. All the more explicitly, a various levelled methodology is joined into the …

Classical music specific mood automatic recognition model proposal

S Lee, H Jeong, H Ko - Electronics, 2021 - mdpi.com
The purpose of this study was to propose an effective model for recognizing the detailed
mood of classical music. First, in this study, the subject classical music was segmented via …

CSA Implementation Using Novel Methodology: RTL Development

KS Chakma, MSU Chowdhury - Journal of VLSI circuits and systems, 2023 - vlsijournal.com
Abstract Carry Select Adder (CSLA) is an essentially utilized adder on account of its higher
computational speed. CSLA is utilized in the space of incorporation frameworks. This paper …

FPGA based Digital Filter Design for faster operations

K Ariunaa, U Tudevdagva, M Hussai - Journal of VLSI circuits and …, 2023 - vlsijournal.com
The reduced complexity design of the IIR filter is discussed in this paper. The use of the IIR
filter has been variably increasing during the present times and they are real time …

State of art design of novel adder modules for future computing

ALI MOHAMMADZADEH, BJ ADAMS - International Journal of …, 2023 - ijccts.org
This paper presents power analysis of the seven full adder cells reported as having a low
PDP (Power Delay Product), by means of speed, power consumption and area. These full …

Speech emotion recognition for psychotherapy: an analysis of traditional machine learning and deep learning techniques

N Shah, K Sood, J Arora - 2023 IEEE 13th Annual Computing …, 2023 - ieeexplore.ieee.org
Human being most often shows their emotions through their speech, and detecting emotions
from the speech is a crucial task where machine learning plays a significant role. In this …