We provide a survey of the field of Music Information Retrieval (MIR), in particular paying
attention to latest developments, such as semantic auto-tagging and user-centric retrieval …

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

Creating novel interpretations of existing musical compositions is and has always been an
essential part of musical practice. Before the advent of recorded music, listening to a piece of …

Music similarity search is useful for a variety of creative tasks such as replacing one music
recording with another recording with a similar" feel", a common task in video editing. For …

The version identification (VI) task deals with the automatic detection of recordings that
correspond to the same underlying musical piece. Despite many efforts, VI is still an open …

Besides various other privacy concerns with mobile devices, many people suspect their
smartphones to be secretly eavesdropping on them. In particular, a large number of reports …

Controllable generation in StyleGANs is usually achieved by training the model using
labeled data. For audio textures, however, there is currently a lack of large semantically …

In an example context of identifying live audio, an audio processor machine accesses audio
data that represents a query sound and creates a spectrogram from the audio data. Each …

Nowadays computers play an important role in all areas of music, from composition to
production and live performance. This is obvious for all kinds of popular music, where …

Content-based music retrieval has been studied for many years. However, it is not easy to
achieve effective and efficient retrieval because two issues such as search strategy and …