Cascaded Acoustic Group and Individual Feature Selection for Recognition of Food Likability

Dara Pir

Abstract

This paper presents the novel Cascaded acoustic Group and Individual Feature Selection (CGI-FS) method for automatic recognition of food likability rating addressed in the ICMI 2018 Eating Analysis and Tracking Challenge’s Likability Sub-Challenge. Employing the speech and video recordings of the iHEARu-EAT database, the Likability Sub-Challenge attempts to recognize self-reported binary labels, ‘Neutral’ and ‘Like’, assigned by subjects to food they consumed while speaking. CGI-FS uses an audio approach and performs a sequence of two feature selection operations by considering the acoustic feature space first in groups and then individually. In CGI-FS, an acoustic group feature is defined as a collection of features generated by the application of a single statistical functional to a specified set of audio low-level descriptors. We investigate the performance of CGI-FS using four different classifiers and evaluate the relevance of group features to the task. All four CGI-FS system results outperform the Likability Sub-Challenge baseline on iHEARu-EAT development data with the best performance achieving a 9.8% relative Unweighted Average Recall improvement over it.

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Paper Citation


in Harvard Style

Pir D. (2019). Cascaded Acoustic Group and Individual Feature Selection for Recognition of Food Likability.In Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-351-3, pages 881-886. DOI: 10.5220/0007683708810886


in Bibtex Style

@conference{icpram19,
author={Dara Pir},
title={Cascaded Acoustic Group and Individual Feature Selection for Recognition of Food Likability},
booktitle={Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2019},
pages={881-886},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007683708810886},
isbn={978-989-758-351-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Cascaded Acoustic Group and Individual Feature Selection for Recognition of Food Likability
SN - 978-989-758-351-3
AU - Pir D.
PY - 2019
SP - 881
EP - 886
DO - 10.5220/0007683708810886