Paper Key : IRJ************795
Author: Chirra Rishitha
Date Published: 03 Apr 2025
Abstract
Voiceprint recognition is the task of identifying individuals based on their unique vocal characteristics. Recently, deep networks have significantly advanced this field by enhancing accuracy and robustness. However, there is a lack of comprehensive reviews on the latest developments. This paper explores key aspects of voiceprint recognition, with a focus on deep network-based approaches. Since deep networks excel in feature representation by extracting highly abstract embeddings from speech, we first examine deep-learning-based voiceprint feature extraction, which forms the foundation of various recognition tasks. We then provide an overview of voiceprint identification, emphasizing recent advancements in supervised and end-to-end learning. Finally, we discuss robust voiceprint recognition, addressing challenges related to adaptation and speech variability.Keywords: Voices, Machine Learning, Neural Network.
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