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 …

Acoustic scene classification is the task of identifying the scene from which the audio signal
is recorded. Convolutional neural network (CNN) models are widely adopted with proven …

Acoustic scene classification (ASC) has attracted much attention in recent years. In previous
studies, the most common architecture is convolutional neural network (CNN) fed by three …

This work proposes a deep learning framework applied for Acoustic Scene Classification
(ASC), targeting DCASE2019 task 1A. In general, the front-end process shows a …

Fusion strategies that utilize time-frequency features have achieved superior performance in
acoustic scene classification tasks. However, the existing fusion schemes are mainly …

Recently, excellent performance has been achieved in Acoustic Scene Classification (ASC)
by using Convolutional Neural Networks (CNNs) and Mel spectrogram feature …

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 …

Acoustic scene classification (ASC) refers to the classification of audio into one of predefined
classes that characterize the environment. People are used to combine log-mel filterbank …

Convolutional neural networks with spectrogram feature representation for acoustic scene
classification are attracting more and more attentions due to its favorable performance …

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 …