W Xie, Q He, Z Yu, Y Li - Digital Signal Processing, 2022 - Elsevier
Fusion strategies that utilize time-frequency features have achieved superior performance in acoustic scene classification tasks. However, the existing fusion schemes are mainly …
L Pham, D Salovic, A Jalali, A Schindler, K Tran… - arXiv preprint arXiv …, 2022 - arxiv.org
In this paper, we present a comprehensive analysis of Acoustic Scene Classification (ASC), the task of identifying the scene of an audio recording from its acoustic signature. In …
In this paper, we present deep learning frameworks for audio-visual scene classification (SC) and indicate how individual visual, audio features as well as their combination affect …
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. We firstly …
In this paper, we present the task of audio-visual scene classification (SC) where input videos are classified into one of five real-life crowded scenes:'Riot','Noise-Street','Firework …
H Lei, N Chen - INTERSPEECH, 2022 - isca-archive.org
Abstract Audio-Visual Scene Classification (AVSC) task tries to achieve scene classification through joint analysis of the audio and video modalities. Most of the existing AVSC models …
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 …
WG Choi, JH Chang, JM Yang, HG Moon - 2022 - osf.io
In acoustic scene classification (ASC) task, an acoustic scene consists of diverse attributes and is inferred by identifying combinations of some distinct attributes among them. This …
S Sonowal, A Tamse - INTERSPEECH, 2022 - isca-archive.org
For audio classification tasks, one has access to the recordings from only a few microphones while the system could be deployed for a wider range of microphones. This paper discusses …