May 18, 2018 · In this paper, we explore the use of Multi-channel CNN for the classification task, which aims to extract features from different channels in an end-to-end ...

Sep 18, 2018 · In this paper, we explore the use of Multi-channel CNN for the classification task, which aims to extract features from different channels in an ...

This paper explores the use of Multi-channel CNN for the classification task, which aims to extract features from different channels in an end-to-end manner ...

In this paper, we explore the use of Multi-channel CNN for the classification task, which aims to extract features from different channels in an end-to-end ...

Aug 12, 2022 · In this paper, we propose a novel approach to perform accurate classification based on the aggregation of spatial–temporal features extracted from a multi- ...

Mixup-Based Acoustic Scene Classification Using Multi-Channel Convolutional Neural Network ... Audio scene classification, the problem of predicting class labels ...

Mar 23, 2022 · Liu, “Mixup-based acoustic scene classification using multi- channel convolutional neural network,” in Pacific Rim Conference on Multimedia ...

Zhang, H. Cai, and S. Liu, “Mixup-based acoustic scene classification using multi-channel convolutional neural network,” in Pacific Rim.

In this paper, we present a robust and low complexity model for Acoustic Scene Classification (ASC), the task of identifying the scene of an audio recording.

Mar 30, 2022 · In this paper, we presents a low-complexity deep learning frameworks for acoustic scene classification (ASC).