Data-Dependent Feature Extraction Method Based on Non-Negative Matrix Factorization for Weakly Supervised Domestic Sound Event Detection

Data-Dependent Feature Extraction Method Based on Non-Negative Matrix Factorization for Weakly Supervised Domestic Sound Event Detection

In this paper, feature extraction methods are developed based on the non-negative matrix factorization (NMF) algorithm to be applied in weakly supervised sound event detection. Recently, the development of various features and systems have been attempted to tackle the problems of acoustic scene clas...

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Bibliographic Details
Main Authors: Seokjin Lee, Minhan Kim, Seunghyeon Shin, Sooyoung Park, Youngho Jeong
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Applied Sciences
Subjects:
feature extraction
sound event detection
non-negative matrix factorization
Online Access:https://www.mdpi.com/2076-3417/11/3/1040

Internet

https://www.mdpi.com/2076-3417/11/3/1040

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