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 …
Deep scalogram representations for acoustic scene classification
Spectrogram representations of acoustic scenes have achieved competitive performance for
acoustic scene classification. Yet, the spectrogram alone does not take into account a …
acoustic scene classification. Yet, the spectrogram alone does not take into account a …
[HTML][HTML] Deep attention-based neural networks for explainable heart sound classification
Cardiovascular diseases are the leading cause of death and severely threaten human
health in daily life. There have been dramatically increasing demands from both the clinical …
health in daily life. There have been dramatically increasing demands from both the clinical …
Attention-based atrous convolutional neural networks: Visualisation and understanding perspectives of acoustic scenes
The goal of Acoustic Scene Classification (ASC) is to recognise the environment in which an
audio waveform has been recorded. Recently, deep neural networks have been applied to …
audio waveform has been recorded. Recently, deep neural networks have been applied to …
Late fusion framework for Acoustic Scene Classification using LPCC, SCMC, and log-Mel band energies with Deep Neural Networks
C Paseddula, SV Gangashetty - Applied Acoustics, 2021 - Elsevier
A major problem in Acoustic Scene Classification (ASC) is a representation of an acoustic
scene, which serves to be an important task for ASC. This study used Linear Prediction …
scene, which serves to be an important task for ASC. This study used Linear Prediction …
CAA-Net: Conditional atrous CNNs with attention for explainable device-robust acoustic scene classification
Acoustic Scene Classification (ASC) aims to classify the environment in which the audio
signals are recorded. Recently, Convolutional Neural Networks (CNNs) have been …
signals are recorded. Recently, Convolutional Neural Networks (CNNs) have been …
Robustness to noise for speech emotion classification using CNNs and attention mechanisms
Abstract Speech Emotion Recognition (SER) is an important task since emotion is a primary
dimension in human communication and health. It has a wide variety of practical …
dimension in human communication and health. It has a wide variety of practical …
[PDF][PDF] Deep sequential image features on acoustic scene classification
ABSTRACT For the Acoustic Scene Classification task of the IEEE AASP Challenge on
Detection and Classification of Acoustic Scenes and Events (DCASE2017), we propose a …
Detection and Classification of Acoustic Scenes and Events (DCASE2017), we propose a …
A scene-dependent sound event detection approach using multi-task learning
Sound event detection (SED) and acoustic scene classification (ASC) are two key tasks
related to each other in the field of computational auditory scene analysis. For example …
related to each other in the field of computational auditory scene analysis. For example …