Revisiting and Improving Scoring Fusion for Spoofing-aware Speaker Verification Using Compositional Data Analysis

Authors

Kong Aik Lee (ORCID: https://orcid.org/0000-0001-9133-3000)
‪Paul-Gauthier Noé‬ (ORCID: https://orcid.org/0000-0002-2304-9830)
Junichi Yamagishi (ORCID: https://orcid.org/0000-0003-2752-3955)
Tomi Kinnunen (ORCID: https://orcid.org/0000-0002-4371-7322)
Xin Wang (ORCID: https://orcid.org/0000-0001-8246-0606)

Publication Details

Published: 2024-09-01
DOI: https://doi.org/10.21437/interspeech.2024-422
Citations: 4
Primary Topic: Speech Recognition and Synthesis
Type: article
Field-Weighted Citation Impact: 1.39

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article

Revisiting and Improving Scoring Fusion for Spoofing-aware Speaker Verification Using Compositional Data Analysis

Kong Aik Lee, ‪Paul-Gauthier Noé‬, Junichi Yamagishi, Tomi Kinnunen et al.

Sep 1, 2024

4 citations

Speech Recognition and Synthesis

1.39

article

Revisiting and Improving Scoring Fusion for Spoofing-aware Speaker Verification Using Compositional Data Analysis

Kong Aik Lee, ‪Paul-Gauthier Noé‬, Junichi Yamagishi, Tomi Kinnunen, Xin Wang

September 1, 2024article en

4 citations

Abstract

No abstract available for this paper.

Openalex Percentile: Top 16%

Speech Recognition and Synthesis

1.39

DOI Source OpenAlex

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Revisiting and Improving Scoring Fusion for Spoofing-aware Speaker Verification Using Compositional Data Analysis — Kong Aik Lee, ‪Paul-Gauthier Noé‬, et al. · (2024) | TGRS Research Map | TGRS