Speaker Verification Using Machine Learning for Door Access Control Systems-Reference-Cited by-同舟云学术

Speaker Verification Using Machine Learning for Door Access Control Systems

Published:2021 Issue: Volume: Page:689-700
ISSN:2194-5357
Container-title:Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021)
language:
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Author:

Alaliyat Saleh,Waaler Fredrik F.,Dyvik Klaus,Oucheikh Rachid,Hameed Ibrahim

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-76346-6_61

Reference27 articles.

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2. Physical Access Control Biometrics - FindBiometrics. In: FindBiometrics. https://findbiometrics.com/applications/physical-access-control/. Accessed 26 Jan 2021

3. Speaker recognition in Azure.micosoft.com. https://azure.microsoft.com/en-us/services/cognitive-services/speaker-recognition/. Accessed 26 Jan 2021

4. Amazon Transcribe. In: Docs.aws.amazon.com. https://docs.aws.amazon.com/transcribe/latest/dg/how-diarization.html. Accessed 26 Jan 2021

5. Juang, B.H., Rabiner, L.R.: Automatic Speech Recognition – A Brief History of the Technology Development. Georgia Institute of Technology, Atlanta (2004). https://www.ece.ucsb.edu/Faculty/Rabiner/ece259/Reprints/354_LALI-ASRHistory-final-10-8.pdf

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1. Comparison of Modern Deep Learning Models for Speaker Verification;Applied Sciences;2024-02-06