State-of-the-art sound event detection (SED) methods usually employ a series of
convolutional neural networks (CNNs) to extract useful features from the input audio signal …

Social media popularity estimation refers to predict the post's popularity using multimodal
contents. The prediction performance heavily relies on the feature extraction part and fully …

In Weakly-supervised Sound Event Detection (WSED), the ground truth of training data
contains the presence or absence of each sound event only at the clip-level (ie, no frame …

Sound event detection (SED) refers to recognizing the sound events in a continuous audio
signal, which has drawn increasing interest during recent decades. The applications of SED …

Automatic recognition of sound events by computers is a requirement for several emerging
applications, such as surveillance, automatic listening, and noise source identification …

Sound event detection aims to identify the sound events in the audio recordings, whose
applications seem to be evident in our daily life, such as the surveillance and monitoring …

Sound event detection (SED) refers to recognizing sound event, in which the prevailing
method of SED is to employ deep neural networks at present. However, it remains unknown …

Acoustic scene classification (ASC) and acoustic event detection (AED) are different but
related tasks. Acoustic events can provide useful information for recognizing acoustic …