Video sentiment analysis aims to uncover the underlying attitudes of viewers, which has a
wide range of applications in real world. Existing works simply classify a video into a single …

We present a new framework SoundDet, which is an end-to-end trainable and light-weight
framework, for polyphonic moving sound event detection and localization. Prior methods …

Sound event detection (SED) is a reasonable choice in a number of application domains
including cattle sheds, dense forests, or any dark environments where visual objects are …

Many applications involve detecting and localizing specific sound events within long,
untrimmed documents, including keyword spotting, medical observation, and bioacoustic …

Individual sounds are difficult to detect in complex soundscapes because of a strong
overlap. This article explores the task of estimating sound polyphony, which is defined here …

We present a novel approach to Internet of Things (IoT) discovery using Deep Neural
Network (DNN) based object detection. Traditional methods of IoT discovery are based on …

Underwater passive acoustics is used worldwide for multi-year monitoring of marine
mammals. Yet, the large amount of audio recordings raises the need to automate the …

In this paper, we propose MusicYOLO based on object detection to detect the onset and
offset in singing for the first time. The onset of the vocal is not as stable and clear as that of …

With the rapid development of artificial intelligence technology, the application of deepfake
technology in the audio field has gradually increased, resulting in a wide range of security …

In this paper, we present a semi-automatic tool for labeling monophonic sound events with
specific reference to cow sounds. The proposed system takes as input audio or video data …