Search Results for author: Etienne Labbé

Found 3 papers, 2 papers with code

Is my automatic audio captioning system so bad? spider-max: a metric to consider several caption candidates

1 code implementation14 Nov 2022 Etienne Labbé, Thomas Pellegrini, Julien Pinquier

For this reason, several complementary metrics, such as BLEU, CIDEr, SPICE and SPIDEr, are used to compare a single automatic caption to one or several captions of reference, produced by a human annotator.

AudioCaps Audio captioning +3

Comparison of semi-supervised deep learning algorithms for audio classification

1 code implementation16 Feb 2021 Léo Cances, Etienne Labbé, Thomas Pellegrini

In all but one cases, MM, RMM, and FM outperformed MT and DCT significantly, MM and RMM being the best methods in most experiments.

Audio Tagging Data Augmentation +3

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