In the automotive industry, despite the robotic systems on the production lines, factories
continue employing workers in several custom tasks getting for semi-automatic assembly …

In acoustic event detection, the training data size of some acoustic events is often small and
imbalanced. To deal with this, this paper proposes generating the virtual training data …

The variety of event categories and event boundary information have resulted in limited
success for acoustic event detection systems. To deal with this, we propose to utilize the …

Sebelum era modernisasi di Indonesia, jika seseorang ingin mendengarkan musik harus
berada di suatu tempat atau dapat mendengarkan dan melihat dari perangkat yang tidak …

Abstract Sound Event Detection (SED) plays a significant role in the present research,
implemented in several areas such as Computer Science, Healthcare, Environmental …

A drone detection system is essential to protect people from misuses, infringement on
privacy, and other harms by drones. In this paper, we investigate to distinguish drone types …

The sense of hearing is fundamental to human beings, as it allows them to perceive their
surroundings. However, this simple task of recognizing different sounds in complex …

Acoustic event detection deals with the acoustic signals to determine the sound type and to
estimate the audio event boundaries. Multi-label classification based approaches are …

卷积神经网络(CNNs) 已广泛应用于语音识别领域中以改善传统声学模型存在的鲁棒性弱,
实时性差, 识别性能低等缺点. 本文对卷积神经网络在异常声音识别任务中的适用性及其识别 …

The primary focus of smart grid power analysis is on power load forecasting and data
anomaly detection. Efficient and accurate power load prediction and data anomaly detection …