Acoustic scene classification: a comprehensive survey
Acoustic scene classification (ASC) has gained significant interest recently due to its diverse
applications. Various audio signal processing and machine learning methods have been …
applications. Various audio signal processing and machine learning methods have been …
Investigation of different CNN-based models for improved bird sound classification
Automatic bird sound classification plays an important role in monitoring and further
protecting biodiversity. Recent advances in acoustic sensor networks and deep learning …
protecting biodiversity. Recent advances in acoustic sensor networks and deep learning …
Subspectralnet–using sub-spectrogram based convolutional neural networks for acoustic scene classification
Acoustic Scene Classification (ASC) is one of the core research problems in the field of
Computational Sound Scene Analysis. In this work, we present SubSpectralNet, a novel …
Computational Sound Scene Analysis. In this work, we present SubSpectralNet, a novel …
Complementary fusion of multi-features and multi-modalities in sentiment analysis
Sentiment analysis, mostly based on text, has been rapidly developing in the last decade
and has attracted widespread attention in both academia and industry. However, the …
and has attracted widespread attention in both academia and industry. However, the …
Multimodal analysis of disaster tweets
Social media is inevitably the most abundant source of actionable information in times of
natural disasters. Most of the data is either available in the form of text, images or videos …
natural disasters. Most of the data is either available in the form of text, images or videos …
Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework
This article proposes an encoder-decoder network model for Acoustic Scene Classification
(ASC), the task of identifying the scene of an audio recording from its acoustic signature. We …
(ASC), the task of identifying the scene of an audio recording from its acoustic signature. We …
Deep mutual attention network for acoustic scene classification
Fusion strategies that utilize time-frequency features have achieved superior performance in
acoustic scene classification tasks. However, the existing fusion schemes are mainly …
acoustic scene classification tasks. However, the existing fusion schemes are mainly …
Aomd: An analogy-aware approach to offensive meme detection on social media
This paper focuses on an important problem of detecting offensive analogy meme on online
social media where the visual content and the texts/captions of the meme together make an …
social media where the visual content and the texts/captions of the meme together make an …
[HTML][HTML] Acoustic scene classification based on three-dimensional multi-channel feature-correlated deep learning networks
Y Qu, X Li, Z Qin, Q Lu - Scientific Reports, 2022 - nature.com
As an effective approach to perceive environments, acoustic scene classification (ASC) has
received considerable attention in the past few years. Generally, ASC is deemed a …
received considerable attention in the past few years. Generally, ASC is deemed a …
Learning enhanced specific representations for multi-view feature learning
Y Hao, XY Jing, R Chen, W Liu - Knowledge-Based Systems, 2023 - Elsevier
Multi-view data has two basic characteristics: consensus property and complementary
property, in which complementary information refers to all view-specific information. Inspired …
property, in which complementary information refers to all view-specific information. Inspired …