A robust and language agnostic Voice Activity Detection (VAD) is crucial for Digital
Entertainment Content (DEC). Primary examples of DEC include movies and TV series …

Surrogate modelling can alleviate the computational burden of design activities as they rely
on multiple evaluations of high-fidelity models. However, the learning task can be adversely …

The performance of an inertial navigation system (INS) and global positioning system (GPS)
integrated navigation system is reduced during GPS outages. To bridge GPS outages, a …

With the rapid development of artificial intelligence, the application of this new technology to
music generation has attracted more attention and achieved gratifying results. This study …

Humans have devised a vast array of musical instruments, but the most prevalent instrument
remains the human voice. Thus, techniques for applying audio signal processing methods to …

In this paper, we investigate two deep learning approaches to recovering initial temperature
profiles from thermographic images in non-destructive material testing. First, we trained a …

State-of-the-art singing voice detectors are based on classifiers trained on annotated
examples. As recently shown, such detectors have an important weakness: Since singing …

Social media platforms such as Twitter, Facebook, and Instagram are vast repositories of
trending global news. They generate an enormous amount of data, offering a valuable …

Automatically detecting the presence of singing in music audio recordings is a central task
within music information retrieval. While modern machine-learning systems produce high …

When convolutional neural networks are used to tackle learning problems based on music
or other time series, raw one-dimensional data are commonly preprocessed to obtain …