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AudioSet Strong Ensemble Logits

Name: AudioSet Strong Ensemble Logits
Creator: Schmid, Florian
Keywords: AudioSet Strong, Ensemble Predictions, Ensemble Logits, Sound Event Detection, Knowledge Distillation

Research datakeyboard_double_arrow_right Dataset 10 Jan 2025 English Publisher:Zenodo

Authors: Schmid, Florian;

doi: 10.5281/zenodo.14626113 , 10.5281/zenodo.14626112

AudioSet Strong Ensemble Logits

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Abstract

This upload contains one HDF5 file that stores ensemble predictions on AudioSet Strong audio files. It is supplementary material for the ICASSP'25 paper Effective Pre-Training of Audio Transformers for Sound Event Detection. The corresponding code can be found in this GitHub repository. The HDF5 file contains filenames (Youtube IDs) matched with ensembled logits of multiple transformer models. The corresponding keys are "filenames" and "strong_logits". Ensemble Logits for one file are of shape 447 x 250 (number of classes x timeframes at 40 ms resolution). Ensemble Logits are stored in float16 format to save space. Check out the GitHub repository for information on how to use the ensemble logits.

Related Organizations

Johannes Kepler University of Linz
Austria

Keywords

AudioSet Strong, Ensemble Predictions, Ensemble Logits, Sound Event Detection, Knowledge Distillation

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