Acoustic event and scene analysis has seen extensive development because it is valuable
in applications such as monitoring of elderly people and infants, surveillance, life-logging …

In this paper, we propose a novel sound event detection (SED) method that incorporates a
self-attention mechanism of the Transformer for a weakly-supervised learning scenario. The …

In the era of smart cities, the advent of the Internet of Things technology has catalyzed the
proliferation of multimodal sensor data, presenting new challenges in cross-modal event …

In many methods of sound event detection (SED), a segmented time frame is regarded as
one data sample to model training. The durations of sound events greatly depend on the …

Sound event detection (SED) is a major topic in machine listening research. In many SED
methods, a segmented time frame is considered as one data sample for model training. The …

In this paper, with the aim of using the spatial information obtained from a distributed
microphone array employed for acoustic scene analysis, we propose a robust and efficient …

Acoustic event detection and scene classification are major research tasks in environmental
sound analysis, and many methods based on neural networks have been proposed …

Sound event detection (SED) and acoustic scene classification (ASC) are important
research topics in environmental sound analysis. Many research groups have addressed …

This paper proposes acoustic event detection (AED) with classifier chains, a new classifier
based on the probabilistic chain rule. The proposed AED with classifier chains consists of a …

In this paper, we propose scene-dependent acoustic event detection (AED) with scene
conditioning and fake-scene-conditioned loss. The proposed method employs a multitask …