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Emotional speaker identification using PCAFCM-deepforest with fuzzy logic
Voice is perceived as a form of biometrics which communicates valuable and rich
information pertinent to an individual, such as his or her identity, gender, accent, age and …
information pertinent to an individual, such as his or her identity, gender, accent, age and …
Arabic handwritten text for person biometric identification: A deep learning approach
This study thoroughly investigates how well deep learning models can recognize Arabic
handwritten text for person biometric identification. It compares three advanced architectures …
handwritten text for person biometric identification. It compares three advanced architectures …
A Novel Convolutional Neural Network Model for Automatic Speaker Identification From Speech Signals
Since voice communication is the most frequent form of human communication, it is
necessary to identify each speaker in a discussion. The development of advanced computer …
necessary to identify each speaker in a discussion. The development of advanced computer …
ReptoNet: A 3D Log Mel Spectrogram-Based Few-Shot Speaker Identification with Reptile Algorithm
A speech-oriented speaker identification system offers an alternative approach to
conventional biometric identification systems that rely on physical contact. Recent advances …
conventional biometric identification systems that rely on physical contact. Recent advances …
An FPGA-Based Reconfigurable Convolutional Neural Network Accelerator for Tiny YOLO-V3
In recent years, the development of deep learning has progressed rapidly, leading to
broader applications of neural networks across various domains. These applications are …
broader applications of neural networks across various domains. These applications are …
Reduction of Interference Terms in Wigner Ville Distribution using Machine Learning
The present work introduces an Field Programmable Gate Array (FPGA) implementation of
the Fractional Fourier filtering technique (FrFt) to reduce the issue of interference-terms in …
the Fractional Fourier filtering technique (FrFt) to reduce the issue of interference-terms in …
Optimizing Speaker Identification through SincsquareNet and SincNet Fusion with Attention Mechanism
Advancements in machine learning and deep learning benefit access control systems,
forensics, and biometrics particularly in speaker identification systems. The SincNet …
forensics, and biometrics particularly in speaker identification systems. The SincNet …
Speaker Recognition for Hindi Language Using Convolution-ResNet Neural Network
The work presents speaker identification using deep learning. Deep learning-based speaker
identification is presented in this paper. The process of recognising a speaker from their …
identification is presented in this paper. The process of recognising a speaker from their …
Global-Local Self-Attention-Based Long Short-Term Memory with Optimization Algorithm for Speaker Identification
Speaker identification (SI) involves recognizing a speaker from a group of unknown
speakers, while speaker verification (SV) determines if a given voice sample belongs to a …
speakers, while speaker verification (SV) determines if a given voice sample belongs to a …
Deep learning-based system for measuring weak electrical signals in plants
J Wei, E Zheng - Journal of Physics: Conference Series, 2024 - iopscience.iop.org
Due to the characteristics of plant electrical signals being weak, low-frequency, and
susceptible to interference, this study proposes a hardware solution involving silver chloride …
susceptible to interference, this study proposes a hardware solution involving silver chloride …