Acoustic scene classification: a comprehensive survey
Acoustic scene classification (ASC) has gained significant interest recently due to its diverse
applications. Various audio signal processing and machine learning methods have been …
applications. Various audio signal processing and machine learning methods have been …
Voice2series: Reprogramming acoustic models for time series classification
Learning to classify time series with limited data is a practical yet challenging problem.
Current methods are primarily based on hand-designed feature extraction rules or domain …
Current methods are primarily based on hand-designed feature extraction rules or domain …
Binaural acoustic scene classification using wavelet scattering, parallel ensemble classifiers and nonlinear fusion
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 …
systems. Acoustic scene classification (ASC) is defined as identifying the area of a recorded …
A lottery ticket hypothesis framework for low-complexity device-robust neural acoustic scene classification
We propose a novel neural model compression strategy combining data augmentation,
knowledge transfer, pruning, and quantization for device-robust acoustic scene classification …
knowledge transfer, pruning, and quantization for device-robust acoustic scene classification …
Lightweight deep neural networks for acoustic scene classification and an effective visualization for presenting sound scene contexts
In this paper, we propose lightweight deep neural networks for Acoustic Scene Classification
(ASC) and a visualization method for presenting a sound scene context. To this end, we first …
(ASC) and a visualization method for presenting a sound scene context. To this end, we first …
Low-complexity acoustic scene classification using data augmentation and lightweight ResNet
We present a work on low-complexity acoustic scene classification (ASC) with multiple
devices, namely the subtask A of Task 1 of the DCASE2021 challenge. This subtask focuses …
devices, namely the subtask A of Task 1 of the DCASE2021 challenge. This subtask focuses …
Randmasking augment: A simple and randomized data augmentation for acoustic scene classification
J Han, M Matuszewski, O Sikorski… - ICASSP 2023-2023 …, 2023 - ieeexplore.ieee.org
In this work, we describe RandMasking Augment as an effective data augmentation method
for acoustic scene classification research. We concentrate on both time and frequency …
for acoustic scene classification research. We concentrate on both time and frequency …
Mapping the successional stages of biological soil crusts at 3-m resolution in the Gurbantunggut Desert, China through hydration-induced spectral response
R Chen, B Yin, W Yang, J Li, Z Li, Y Zhang… - Remote Sensing of …, 2024 - Elsevier
Biological soil crusts (biocrusts) are essential components of desert ecosystems and provide
diverse ecological services that benefit both the environment and human society. Biocrusts …
diverse ecological services that benefit both the environment and human society. Biocrusts …
Attentive max feature map and joint training for acoustic scene classification
Various attention mechanisms are being widely applied to acoustic scene classification.
However, we empirically found that the attention mechanism can excessively discard …
However, we empirically found that the attention mechanism can excessively discard …
[PDF][PDF] A model ensemble approach for audio-visual scene classification
In this technical report, we present our approach to Task 1b-Audio-Visual Scene
Classification (AVSC) in the DCASE 2021 Challenge. We employ pre-trained networks …
Classification (AVSC) in the DCASE 2021 Challenge. We employ pre-trained networks …