Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/139974
Author(s): | Vahid Hajihashemi Abdorreza Alavi Gharahbagh Pedro Miguel Cruz Marta Campos Ferreira José J. M. Machado João Manuel R. S. Tavares |
Title: | Binaural Acoustic Scene Classification Using Wavelet Scattering, Parallel Ensemble Classifiers and Nonlinear Fusion |
Issue Date: | 2022-02 |
Abstract: | The analysis of ambient sounds can be very useful when developing sound base intelligent systems. Acoustic scene classification (ASC) is defined as identifying the area of a recorded sound or clip among some predefined scenes. ASC has huge potential to be used in urban sound event classification systems. This research presents a hybrid method that includes a novel mathematical fusion step which aims to tackle the challenges of ASC accuracy and adaptability of current state-of-the-art models. The proposed method uses a stereo signal, two ensemble classifiers (random subspace), and a novel mathematical fusion step. In the proposed method, a stable, invariant signal representation of the stereo signal is built using Wavelet Scattering Transform (WST). For each mono, i.e., left and right, channel, a different random subspace classifier is trained using WST. A novel mathematical formula for fusion step was developed, its parameters being found using a Genetic algorithm. The results on the DCASE 2017 dataset showed that the proposed method has higher classification accuracy (about 95%), pushing the boundaries of existing methods. |
Subject: | Ciências Tecnológicas, Ciências da engenharia e tecnologias Technological sciences, Engineering and technology |
Scientific areas: | Ciências da engenharia e tecnologias Engineering and technology |
URI: | https://hdl.handle.net/10216/139974 |
Related Information: | info:eu-repo/grantAgreement/Agência para o Investimento e Comércio Externo de Portugal, E.P.E/Regime Contratual de Investimento/POCI-01-0247-FEDER-041435 (Safe Cities)/Safe Cities - Inovação para Construir Cidades Seguras/Safe Cities |
Document Type: | Artigo em Revista Científica Internacional |
Rights: | openAccess |
Appears in Collections: | FEUP - Artigo em Revista Científica Internacional |
Files in This Item:
File | Description | Size | Format | |
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534841.1.pdf | Paper | 2.27 MB | Adobe PDF | View/Open |
534841.jpg | 1st Page | 476.08 kB | JPEG | View/Open |
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