Enhancing Speaker Recognition Models with Noise-Resilient Feature Optimization Strategies

Enhancing Speaker Recognition Models with Noise-Resilient Feature Optimization Strategies

This paper delves into an in-depth exploration of speaker recognition methodologies, with a primary focus on three pivotal approaches: feature-level fusion, dimension reduction employing principal component analysis (PCA) and independent component analysis (ICA), and feature optimization through a g...

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Bibliographic Details
Main Authors: Neha Chauhan, Tsuyoshi Isshiki, Dongju Li
Format: Article
Language:English
Published: MDPI AG 2024-05-01
Series:Acoustics
Subjects:
speaker identification
speaker verification
feature-level fusion
dimension reduction
feature optimization
Online Access:https://www.mdpi.com/2624-599X/6/2/24

Internet

https://www.mdpi.com/2624-599X/6/2/24

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