Generalized Score Comparison-Based Learning Objective for Deep Speaker Embedding

In state-of-the-art speaker verification systems, speaker embeddings are trained to be closer to the target speaker prototype, which is either obtained from the other speech samples or constructed with trainable parameters. This can be considered a classification task since the network is trying to...

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Bibliographic Details
Main Authors: Min Hyun Han, Sung Hwan Mun, Nam Soo Kim
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10933916/
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