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

Raphael Blankson, Evgeniy Pavlovskiy

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Abstract

Recently, the advancement in quantum technologies has had massive impact on the development of quantum algorithms on near-term quantum devices. Variational circuits, a combination of both quantum and classical algorithms, have been very useful in this advancement on near-term quantum devices. Despite these advances, most quantum applications in machine learning (deep learning) especially in transfer learning have been proof-of-concept in the qubit system and very little in the continuous-variable space but no or little application to audio data. This study applies variational circuits to practical real-life speaker classification data for the first time in the continuous-variable system. In separate experiments, the quantum model was combined with a simple convolutional neural network and ResNet18 model, respectively, and the results were compared to classical ResNet18 model applied on the same speaker dataset. The simple convolutional model outperformed the ResNet18 quantum model significantly after one epoch. Further, investigation is needed to model-specific problems that classical models cannot solve.

Original languageEnglish
Title of host publicationProceedings of International Conference on Data Science and Applications, ICDSA 2021
EditorsMukesh Saraswat, Sarbani Roy, Chandreyee Chowdhury, Amir H. Gandomi
Place of PublicationSingapore
PublisherSpringer Science and Business Media Deutschland GmbH
Pages483-492
Number of pages10
Volume287
EditionSpringer Nature Singapore
ISBN (Electronic)978-981-16-5348-3
ISBN (Print)978-981-16-5347-6
DOIs
Publication statusPublished - 2022
Event2nd International Conference on Data Science and Applications, ICDSA 2021 - Virtual, Online
Duration: 10 Apr 202111 Apr 2021

Publication series

NameLecture Notes in Networks and Systems
Volume287
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference2nd International Conference on Data Science and Applications, ICDSA 2021
CityVirtual, Online
Period10.04.202111.04.2021

Keywords

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

OECD FOS+WOS

  • 1.02 COMPUTER AND INFORMATION SCIENCES

Fingerprint

Dive into the research topics of 'Applying Variational Circuits in Deep Learning Architectures for Improving Discriminative Power of Speaker Embeddings'. Together they form a unique fingerprint.

Cite this