A review of deep learning based methods for acoustic scene classification
J Abeßer - Applied Sciences, 2020 - mdpi.com
The number of publications on acoustic scene classification (ASC) in environmental audio
recordings has constantly increased over the last few years. This was mainly stimulated by …
recordings has constantly increased over the last few years. This was mainly stimulated by …
A survey on preprocessing and classification techniques for acoustic scene
There are lots of research papers for ASC, and in recent years it is rapidly increasing.
DCASE also provides different types of competition for the submission of several papers to …
DCASE also provides different types of competition for the submission of several papers to …
Receptive field regularization techniques for audio classification and tagging with deep convolutional neural networks
K Koutini, H Eghbal-zadeh… - IEEE/ACM Transactions …, 2021 - ieeexplore.ieee.org
In this paper, we study the performance of variants of well-known Convolutional Neural
Network (CNN) architectures on different audio tasks. We show that tuning the Receptive …
Network (CNN) architectures on different audio tasks. We show that tuning the Receptive …
Droneprint: Acoustic signatures for open-set drone detection and identification with online data
With the ubiquitous availability of drones, they are adopted benignly in multiple applications
such as cinematography, surveying, and legal goods delivery. Nonetheless, they are also …
such as cinematography, surveying, and legal goods delivery. Nonetheless, they are also …
[PDF][PDF] CP-JKU submissions to DCASE'20: Low-complexity cross-device acoustic scene classification with rf-regularized CNNs
This technical report describes the CP-JKU team's submission for Task 1–Subtask A
(Acoustic Scene Classification with Multiple Devices) and Subtask B (Low-Complexity …
(Acoustic Scene Classification with Multiple Devices) and Subtask B (Low-Complexity …
Acoustic scene classification in DCASE 2019 challenge: Closed and open set classification and data mismatch setups
Acoustic Scene Classification is a regular task in the DCASE Challenge, with each edition
having it as a task. Throughout the years, modifications to the task have included mostly …
having it as a task. Throughout the years, modifications to the task have included mostly …
Open set classification strategies for long-term environmental field recordings for bird species recognition
MM Morgan, J Braasch - The Journal of the Acoustical Society of …, 2022 - pubs.aip.org
Deep learning is one established tool for carrying out classification tasks on complex, multi-
dimensional data. Since audio recordings contain a frequency and temporal component …
dimensional data. Since audio recordings contain a frequency and temporal component …
Residual learning for marine mammal classification
DT Murphy, E Ioup, MT Hoque, M Abdelguerfi - IEEE Access, 2022 - ieeexplore.ieee.org
The passive acoustic monitoring of marine mammals is an essential tool for researchers
tracking the populations of individual species in threatened environments. Given the large …
tracking the populations of individual species in threatened environments. Given the large …
Acoustic scene classification using deep fisher network
Abstract Acoustic Scene Classification (ASC) is the task of assigning a semantic label to an
audio recording, based on the surrounding environment. In this work, a Fisher network is …
audio recording, based on the surrounding environment. In this work, a Fisher network is …
[PDF][PDF] Multi-Scale Architecture and Device-Aware Data-Random-Drop Based Fine-Tuning Method for Acoustic Scene Classification.
We propose a low-complexity acoustic scene classification (ASC) model structure suitable
for short-segmented audio and fine-tuning methods for generalization to multiple recording …
for short-segmented audio and fine-tuning methods for generalization to multiple recording …