Unsupervised Arabic Speech Embedding Model for Speaker Identification-Reference-Cited by-同舟云学术

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Unsupervised Arabic Speech Embedding Model for Speaker Identification

Published:2023-06-18 Issue: Volume: Page:
ISSN:
Container-title:2023 International Joint Conference on Neural Networks (IJCNN)
language:
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Author:

Al Roken Noora¹,Hussain Abir²,Shahin Ismail²,Turky Ayad³,Khan Bilal⁴,Khan Wasiq⁵

Affiliation:

1. University of Sharjah,Department of Electrical and Computer Engineering,Sharjah,UAE

2. University of Sharjah,Department of Electrical Engineering,Sharjah,UAE

3. University of Sharjah,Department of Computer Science,Sharjah,UAE

4. School of Computer Science and Engineering California State University San Bernardino,San Bernardino,USA

5. School of Computer Science and Mathematics Liverpool John Moores University,Liverpool,UK

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10190990/10190992/10191576.pdf?arnumber=10191576

Reference20 articles.

1. Neural Predictive Coding Using Convolutional Neural Networks Toward Unsupervised Learning of Speaker Characteristics

2. Deep CNNs With Self-Attention for Speaker Identification

3. An Unsupervised Neural Prediction Framework for Learning Speaker Embeddings Using Recurrent Neural Networks

4. Hybrid CNN-LSTM Speaker Identification Framework for Evaluating the Impact of Face Masks

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