To communicate efficiently with a prospective user, auditory interfaces are employed in mobile communication devices. Diverse sounds in different volumes are used to alert the …
Acoustic Scene Classification (ASC) aims to classify the environment in which the audio signals are recorded. Recently, Convolutional Neural Networks (CNNs) have been …
L Zhou, Y Zhou, X Qi, J Hu, TL Lam… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Audiovisual scene understanding is a challenging problem due to the unstructured spatial– temporal relations that exist in the audio signals and spatial layouts of different objects in the …
J Bai, J Chen, M Wang, MS Ayub… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Environmental sound recognition (ESR) is an emerging research topic in audio pattern recognition. Many tasks are presented to resort to computational models for ESR in real-life …
L Zhou, Y Zhou, X Qi, J Hu, TL Lam, Y Xu - arXiv preprint arXiv …, 2022 - arxiv.org
Environmental sound classification (ESC) is a challenging problem due to the unstructured spatial-temporal relations that exist in the sound signals. Recently, many studies have …
G Jiang, Z Ma, Q Mao, J Zhang - Pattern Analysis and Applications, 2023 - Springer
Acoustic scene classification (ASC) aims to analyse the recording scene of a piece of audio. In real life, ASC has to deal with audio data from various recording devices, even those …
In this paper, we present a concept of service robot and a framework for its functional specification and implementation. The present discussion is grounded in Newell's system …
This paper presents a multi-modal sensor approach for mapping sound sources using an omni-directional microphone array on an autonomous mobile robot. A fusion of audio data …
In this work, we describe an autonomous mobile robotic system for finding, investigating, and modeling ambient noise sources in the environment. The system has been fully …