Robust Feature Extraction Using Temporal Context Averaging for Speaker Identification in Diverse Acoustic Environments

Robust Feature Extraction Using Temporal Context Averaging for Speaker Identification in Diverse Acoustic Environments

Speaker identification in challenging acoustic environments, influenced by noise, reverberation, and emotional fluctuations, requires improved feature extraction techniques. Although existing methods effectively extract distinct acoustic features, they show limitations in these adverse settings. To...

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Bibliographic Details
Main Authors: Yassin Terraf, Youssef Iraqi
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Speaker identification
feature extraction
challenging acoustic environments
temporal context-enhanced features
convolutional neural networks
long short-term memory
Online Access:https://ieeexplore.ieee.org/document/10410836/

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