Measurement of the impact of identical twin voices on automatic speaker recognition-Reference-Cited by-同舟云学术

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Measurement of the impact of identical twin voices on automatic speaker recognition

Published:2019-02 Issue: Volume:134 Page:385-389
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Sabatier Stallone B.,Trester Morgan R.,Dawson Jeremy M.

Funder

West Virginia University

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference30 articles.

1. A study of multibiometric traits of identical twins;Sun,2010

2. Similarity of iris texture between identical twins;Hollingsworth,2010

3. Distinguishing identical twins by face recognition;Phillips,2011

4. On the similarity of identical twin fingerprints;Jain;Pattern Recogn.,2002

5. Fine-grained face verification: dataset and baseline results;Hu,2015

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1. Solving the twin paradox-forensic strategies to identify the identical twins;Forensic Science International;2024-10

2. Effect of identical twins on deep speaker embeddings based forensic voice comparison;International Journal of Speech Technology;2024-06

3. Exploring the performance of automatic speaker recognition using twin speech and deep learning-based artificial neural networks;Frontiers in Artificial Intelligence;2024-02-08

4. Monozygotic twin sisters differ in voice quality: Acoustic analysis of the diphthong [‘oj] produced by Brazilian native speakers;Social Sciences & Humanities Open;2024

5. Monozygotic twin face recognition: An in-depth analysis and plausible improvements;Image and Vision Computing;2021-12

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