Hierarchical Pooling Structure for Weakly Labeled Sound Event Detection

Fuente: arXiv
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Main Authors: He, Ke-Xin, Shen, Yu-Han, Zhang, Wei-Qiang
Format: Preprint
Published: 2019
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author He, Ke-Xin
Shen, Yu-Han
Zhang, Wei-Qiang
author_facet He, Ke-Xin
Shen, Yu-Han
Zhang, Wei-Qiang
contents Sound event detection with weakly labeled data is considered as a problem of multi-instance learning. And the choice of pooling function is the key to solving this problem. In this paper, we proposed a hierarchical pooling structure to improve the performance of weakly labeled sound event detection system. Proposed pooling structure has made remarkable improvements on three types of pooling function without adding any parameters. Moreover, our system has achieved competitive performance on Task 4 of Detection and Classification of Acoustic Scenes and Events (DCASE) 2017 Challenge using hierarchical pooling structure.
format Preprint
id arxiv_https___arxiv_org_abs_1903_11791
institution arXiv
publishDate 2019
record_format arxiv
spellingShingle Hierarchical Pooling Structure for Weakly Labeled Sound Event Detection
He, Ke-Xin
Shen, Yu-Han
Zhang, Wei-Qiang
Sound
Audio and Speech Processing
Sound event detection with weakly labeled data is considered as a problem of multi-instance learning. And the choice of pooling function is the key to solving this problem. In this paper, we proposed a hierarchical pooling structure to improve the performance of weakly labeled sound event detection system. Proposed pooling structure has made remarkable improvements on three types of pooling function without adding any parameters. Moreover, our system has achieved competitive performance on Task 4 of Detection and Classification of Acoustic Scenes and Events (DCASE) 2017 Challenge using hierarchical pooling structure.
title Hierarchical Pooling Structure for Weakly Labeled Sound Event Detection
topic Sound
Audio and Speech Processing
url https://arxiv.org/abs/1903.11791