Applying Variational Circuits in Deep Learning Architectures for Improving Discriminative Power of Speaker Embeddings › Research Explorer

DOI

https://doi.org/10.1007/978-981-16-5348-3_38
Final published version

Raphael Blankson
Evgeniy Pavlovskiy

Original language	English
Title of host publication	Proceedings of International Conference on Data Science and Applications, ICDSA 2021
Editors	Mukesh Saraswat, Sarbani Roy, Chandreyee Chowdhury, Amir H. Gandomi
Place of Publication	Singapore
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	483-492
Number of pages	10
Volume	287
Edition	Springer Nature Singapore
ISBN (Electronic)	978-981-16-5348-3
ISBN (Print)	978-981-16-5347-6
DOIs	https://doi.org/10.1007/978-981-16-5348-3_38
Publication status	Published - 2022
Event	2nd International Conference on Data Science and Applications, ICDSA 2021 - Virtual, Online Duration: 10 Apr 2021 → 11 Apr 2021

Publication series

Name	Lecture Notes in Networks and Systems
Volume	287
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	2nd International Conference on Data Science and Applications, ICDSA 2021
City	Virtual, Online
Period	10.04.2021 → 11.04.2021

OECD FOS+WOS

1.02 COMPUTER AND INFORMATION SCIENCES

Research areas

Continuous-variable quantum model, Deep learning, Quantum machine learning, Speaker classification, Variational circuit

ID: 35178175