Deep neural decision forest for acoustic scene classification
Acoustic scene classification (ASC) aims to classify an audio clip based on the characteristic
of the recording environment. In this regard, deep learning based approaches have …
of the recording environment. In this regard, deep learning based approaches have …
An integrated convolutional neural network with a fusion attention mechanism for acoustic scene classification
P Jiang, Y Xie, C Zou, L Zhao… - IEICE Transactions on …, 2023 - search.ieice.org
In human-computer interaction, acoustic scene classification (ASC) is one of the relevant
research domains. In real life, the recorded audio may include a lot of noise and quiet clips …
research domains. In real life, the recorded audio may include a lot of noise and quiet clips …
Low-complexity CNNs for acoustic scene classification
A Singh, MD Plumbley - arXiv preprint arXiv:2207.11529, 2022 - arxiv.org
This paper presents a low-complexity framework for acoustic scene classification (ASC).
Most of the frameworks designed for ASC use convolutional neural networks (CNNs) due to …
Most of the frameworks designed for ASC use convolutional neural networks (CNNs) due to …
Constrained learned feature extraction for acoustic scene classification
T Zhang, J Wu - IEEE/ACM Transactions on Audio, Speech …, 2019 - ieeexplore.ieee.org
Deep neural networks (DNNs) have been proven to be powerful models for acoustic scene
classification tasks. State-of-the-art DNNs have millions of connections and are …
classification tasks. State-of-the-art DNNs have millions of connections and are …
Acoustic scene classification using deep learning-based ensemble averaging
In our submission to the DCASE 2019 Task 1a, we have explored the use of four different
deep learning based neural networks architectures: Vgg12, ResNet50, AclNet, and …
deep learning based neural networks architectures: Vgg12, ResNet50, AclNet, and …
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 …
A layer-wise score level ensemble framework for acoustic scene classification
Scene classification based on acoustic information is a challenging task due to various
factors such as the nonstationary nature of the environment and multiple overlapping …
factors such as the nonstationary nature of the environment and multiple overlapping …
Deep semantic learning for acoustic scene classification
Acoustic scene classification (ASC) is the process of identifying the acoustic environment or
scene from which an audio signal is recorded. In this work, we propose an encoder-decoder …
scene from which an audio signal is recorded. In this work, we propose an encoder-decoder …
[PDF][PDF] Acoustic scene classification with multiple decision schemes
This technical report describes the ADSPLAB team's submission for Task1 of DCASE2020
challenge. Our acoustic scene classification (ASC) system is based on the convolutional …
challenge. Our acoustic scene classification (ASC) system is based on the convolutional …
[PDF][PDF] DCASE2023 task1 submission: Device simulation and time-frequency separable convolution for acoustic scene classification
The task 1 of DCASE 2023 Challenge incorporates a weighted average ranking of accuracy
and complexity, which encourages participants to build efficient systems for acoustic scene …
and complexity, which encourages participants to build efficient systems for acoustic scene …