Chinese Cantonese opera, a UNESCO Intangible Cultural Heritage (ICH) of Humanity, has
faced a series of development problems due to diversified entertainment and emerging …

Environmental Sound Recognition (ESR) plays a crucial role in smart cities by accurately
categorizing audio using well-trained Machine Learning (ML) classifiers. This application is …

In recent years, Environmental Sound Recognition (ESR) has become a relevant capability
for urban monitoring applications. The techniques for automated sound recognition often …

Abstract Automakers from Honda to Lamborghini are incorporating voice interaction
technology into their vehicles to improve the user experience and offer value-added …

Environmental sound classification (ESC) is gaining popularity in the field of information
processing due to its significance in non-speech audio categorization. ESC faces …

Sense of hearing is crucial for autonomous vehicles (AVs) to better perceive its surrounding
environment. Although visual sensors of an AV, such as camera, lidar, and radar, help to see …

As a complex ecosystem composed of flora and fauna, the forest has always been
vulnerable to threats. Previous researchers utilized environmental audio collections, such as …

In the field of Environmental Sound Classification (ESC), traditional deep learning methods
face significant challenges in processing high-dimensional audio data. In response, this …

The underwater acoustic perception system often undertakes multi-class ship recognition
tasks. As the underwater acoustic recognition environment becomes increasingly complex …

Bird sound classification is an important task in bioacoustics research, wildlife conservation,
and automated systems for monitoring bird populations. In this paper, we propose a …