Le Moine Veillon, Clément;
Rosi, Victor;
Sarah, Pablo Arias;
Salais, Léane;
Obin, Nicolas;
(2024)
BWSNET: Automatic Perceptual Assessment of Audio Signals.
In:
ICASSP 2024- 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
(pp. pp. 10416-10420).
IEEE: Seoul, Korea, Republic of.
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Abstract
This paper introduces BWSNet, a model that can be trained from raw human judgements obtained through a Best-Worst scaling (BWS) experiment. It maps sound samples into an embedded space that represents the perception of a studied attribute. To this end, we propose a set of cost functions and constraints, interpreting trial-wise ordinal relations as distance comparisons in a metric learning task. We tested our proposal on data from two BWS studies investigating the perception of speech social attitudes and timbral qualities. For both datasets, our results show that the structure of the latent space is faithful to human judgements.
| Type: | Proceedings paper |
|---|---|
| Title: | BWSNET: Automatic Perceptual Assessment of Audio Signals |
| Event: | ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
| Location: | SOUTH KOREA, Seoul |
| Dates: | 14 Apr 2024 - 19 Apr 2024 |
| ISBN-13: | 979-8-3503-4485-1 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/ICASSP48485.2024.10447014 |
| Publisher version: | https://doi.org/10.1109/icassp48485.2024.10447014 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Automatic Perceptual Assessment, BestWorst Scaling, Metric Learning, Social Attitudes, Timbre |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10206953 |
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