Multi-Modal Food Classification in a Diet Tracking System with Spoken and Visual Inputs

Shivani Gowda; Yifan Hu; Mandy Korpusik

doi:10.1109/ICASSP49357.2023.10095762

Multi-Modal Food Classification in a Diet Tracking System with Spoken and Visual Inputs

Shivani Gowda, Yifan Hu, Mandy Korpusik

Computer Science

Loyola Marymount University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728163277
DOIs	https://doi.org/10.1109/ICASSP49357.2023.10095762
State	Published - 2023
Event	48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023 - Rhodes Island, Greece Duration: Jun 4 2023 → Jun 10 2023

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	2023-June
ISSN (Print)	1520-6149

Conference

Conference	48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023
Country/Territory	Greece
City	Rhodes Island
Period	6/4/23 → 6/10/23

ASJC Scopus Subject Areas

Software
Signal Processing
Electrical and Electronic Engineering

Keywords

Convolutional Neural Network
Long Short-Term Memory
Transfer Learning
Transformer
Vision-and-Language

Access to Document

10.1109/ICASSP49357.2023.10095762

Cite this

Gowda, S., Hu, Y., & Korpusik, M. (2023). Multi-Modal Food Classification in a Diet Tracking System with Spoken and Visual Inputs. In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2023-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP49357.2023.10095762

Multi-Modal Food Classification in a Diet Tracking System with Spoken and Visual Inputs. / Gowda, Shivani; Hu, Yifan; Korpusik, Mandy.
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2023-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Gowda, S, Hu, Y & Korpusik, M 2023, Multi-Modal Food Classification in a Diet Tracking System with Spoken and Visual Inputs. in ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2023-June, Institute of Electrical and Electronics Engineers Inc., 48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023, Rhodes Island, Greece, 6/4/23. https://doi.org/10.1109/ICASSP49357.2023.10095762

Gowda S, Hu Y, Korpusik M. Multi-Modal Food Classification in a Diet Tracking System with Spoken and Visual Inputs. In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2023. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). doi: 10.1109/ICASSP49357.2023.10095762

Gowda, Shivani ; Hu, Yifan ; Korpusik, Mandy. / Multi-Modal Food Classification in a Diet Tracking System with Spoken and Visual Inputs. ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

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M3 - Conference contribution

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T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

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Multi-Modal Food Classification in a Diet Tracking System with Spoken and Visual Inputs

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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Cite this