Endowing machines with sensing capabilities similar to those of humans is a prevalent
quest in engineering and computer science. In the pursuit of making computers sense their …

The increasing availability of music in digital format needs to be matched by the
development of tools for music accessing, filtering, classification, and retrieval. The research …

Deep learning (DL) technologies have recently shown great potential in emotion recognition
based on electroencephalography (EEG). However, existing DL-based EEG emotion …

Large music collections, ranging from thousands to millions of tracks, are unsuited to manual
searching, motivating the development of automatic search methods. When different …

Today, a large number of audio features exists in audio retrieval for different purposes, such
as automatic speech recognition, music information retrieval, audio segmentation, and …

Chroma-based audio features, which closely correlate to the aspect of harmony, are a well-
established tool in processing and analyzing music data. There are many ways of computing …

We examine the problem of acoustic emanations of printers. We present a novel attack that
recovers what a dotmatrix printer processing English text is printing based on a record of the …

User authentication on smartphones must satisfy both security and convenience, an
inherently difficult balancing art. Apple's FaceID is arguably the latest of such efforts, at the …

We present a new technique for audio signal comparison based on tonal subsequence
alignment and its application to detect cover versions (ie, different performances of the same …

The textbook provides both profound technological knowledge and a comprehensive
treatment of essential topics in music processing and music information retrieval (MIR) …