DeepAI
Log In Sign Up

A Two-Stage Approach to Device-Robust Acoustic Scene Classification

11/03/2020
by   Hu Hu, et al.
7

To improve device robustness, a highly desirable key feature of a competitive data-driven acoustic scene classification (ASC) system, a novel two-stage system based on fully convolutional neural networks (CNNs) is proposed. Our two-stage system leverages on an ad-hoc score combination based on two CNN classifiers: (i) the first CNN classifies acoustic inputs into one of three broad classes, and (ii) the second CNN classifies the same inputs into one of ten finer-grained classes. Three different CNN architectures are explored to implement the two-stage classifiers, and a frequency sub-sampling scheme is investigated. Moreover, novel data augmentation schemes for ASC are also investigated. Evaluated on DCASE 2020 Task 1a, our results show that the proposed ASC system attains a state-of-the-art accuracy on the development set, where our best system, a two-stage fusion of CNN ensembles, delivers a 81.9 average accuracy among multi-device test data, and it obtains a significant improvement on unseen devices. Finally, neural saliency analysis with class activation mapping (CAM) gives new insights on the patterns learnt by our models.

READ FULL TEXT
07/16/2020

Device-Robust Acoustic Scene Classification Based on Two-Stage Categorization and Data Augmentation

In this technical report, we present a joint effort of four groups, name...
09/05/2018

CNNs-based Acoustic Scene Classification using Multi-Spectrogram Fusion and Label Expansions

Spectrograms have been widely used in Convolutional Neural Networks base...
07/15/2019

Integrating the Data Augmentation Scheme with Various Classifiers for Acoustic Scene Modeling

This technical report describes the IOA team's submission for TASK1A of ...
11/18/2020

CAA-Net: Conditional Atrous CNNs with Attention for Explainable Device-robust Acoustic Scene Classification

Acoustic Scene Classification (ASC) aims to classify the environment in ...
06/10/2019

DCASE 2019: CNN depth analysis with different channel inputs for Acoustic Scene Classification

The objective of this technical report is to describe the framework used...
05/27/2020

ACGAN-based Data Augmentation Integrated with Long-term Scalogram for Acoustic Scene Classification

In acoustic scene classification (ASC), acoustic features play a crucial...
07/06/2020

Acoustic Scene Classification with Spectrogram Processing Strategies

Recently, convolutional neural networks (CNN) have achieved the state-of...