Acoustic scene classification (ASC) is an audio classification task that identifies the
environment in which sounds are recorded. Audio-related machine learning algorithms …

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

Convolutional neural networks with time-frequency feature representation for acoustic scene
classification have been attracting increasing attentions. However, most of the existing …

We use deep convolutional neural network via transfer learning for Acoustic Scene
Classification (ASC). For this purpose, a powerful and popular deep learning architecture …

In this paper, we presents a low-complexity deep learning frameworks for acoustic scene
classification (ASC). The proposed framework can be separated into three main steps: Front …

In this work, we propose an approach that features deep feature embedding learning and
hierarchical classification with triplet loss function for Acoustic Scene Classification (ASC). In …

Deep convolutional neural network (DCNN) has recently improved the performance of
acoustic scene classification. However, the input features of the network are usually based …

Convolutional networks have achieved the state-of-the-art performance on Acoustic Scene
Classification (ASC). Given the Log Mel-Spectrogram of an audio sample, the network can …

We propose a convolutional neural network (CNN) model based on an attention pooling
method to classify ten different acoustic scenes, participating in the acoustic scene …