Enhancement in speaker recognition for optimized speech features using GMM, SVM and 1-D CNN

S Nainan, V Kulkarni - International Journal of Speech Technology, 2021 - Springer
Contemporary automatic speaker recognition (ASR) systems do not provide 100% accuracy
making it imperative to explore different techniques to improve it. Easy access to mobile …
被引用次数：30 相关文章 所有 2 个版本

Automatic speaker recognition with enhanced swallow swarm optimization and ensemble classification model from speech signals

KJ Devi, K Thongam - Journal of Ambient Intelligence and Humanized …, 2019 - Springer
Abstract An Automatic Speaker Recognition (ASR) system which applies voice as a
discriminatory feature is used for authentication and verification of identity of a person. A …
被引用次数：12 相关文章

Automatic speaker recognition from speech signals using self organizing feature map and hybrid neural network

KJ Devi, NH Singh, K Thongam - Microprocessors and Microsystems, 2020 - Elsevier
This paper explains a new hybrid method for Automatic Speaker Recognition using speech
signals based on the Artificial Neural Network (ANN). ASR performance characteristics is …
被引用次数：33 相关文章 所有 2 个版本

Speaker identification using hybrid neural network support vector machine classifier

V Karthikeyan, SS Priyadharsini… - International Journal of …, 2022 - Springer
In speaker recognition, identifying the speaker using the customized features of the speech
signal is crucial. A single type of speech characteristics does not completely denote the …
被引用次数：7 相关文章 所有 2 个版本
[PDF] researchgate.net

Speaker recognition using LPC, MFCC, ZCR features with ANN and SVM classifier for large input database

N Chauhan, T Isshiki, D Li - 2019 IEEE 4th international …, 2019 - ieeexplore.ieee.org
Speaker recognition is a biometric technique which uses individual speakers voice samples
as a input for recognition purpose. Main goal of this work is to obtain better accuracy for …
被引用次数：61 相关文章 所有 2 个版本

Feature extraction and classification efficiency analysis using machine learning approach for speech signal

MK Singh - Multimedia Tools and Applications, 2024 - Springer
The problem of classification efficiency analysis in speech signals for speaker identification
using a machine learning approach has been a challenge for several years. The …
被引用次数：3 相关文章
[PDF] researchgate.net

Voice-Based Human Identification using Machine Learning

BA Alsaify, HSA Arja, BY Maayah… - … on Information and …, 2022 - ieeexplore.ieee.org
Voice and natural language processing, is at the forefront of any human-machine interaction
domain. Speech is an effortless and usable method of communication that is based on the …
被引用次数：6 相关文章 所有 2 个版本

Speaker recognition techniques: A review

SP Todkar, SS Babar, RU Ambike… - … for Convergence in …, 2018 - ieeexplore.ieee.org
Speaker Recognition is the process of recognizing the speaker from the individual's speech
biometrics. The voice characteristics of every speaker are different and thus can be used to …
被引用次数：27 相关文章
[PDF] researchgate.net

Closed-set speaker identification using VQ and GMM based models

B Barai, T Chakraborty, N Das, S Basu… - International Journal of …, 2022 - Springer
An array of features and methods are being developed over the past six decades for
Speaker Identification (SI) and Speaker Verification (SV), jointly known as Speaker …
被引用次数：9 相关文章 所有 4 个版本
[PDF] researchgate.net

[PDF][PDF] Speaker identification system using Gaussian Mixture Model and Support Vector Machines (GMM-SVM) under noisy conditions

RD Kumar, AB Ganesh, SS Kala - Indian Journal of Science and …, 2016 - researchgate.net
Abstract Background: Automatic Speaker Identification (SID) systems has been a major
breakthrough and crucial in many realworld applications. Methods: This work addresses the …
被引用次数：15 相关文章 所有 5 个版本