Lade Dir tausende von lizenzfreien Musikdateien im MP3-Format ohne Einschränkungen herunter. Unsere Musikbibliothek ist kostenlos, gemeinfrei und in HD oder verlustfreier Qualität verfügbar.
Booking country music for corporate events is a big business. The country music genre is well liked and is the preferred music for many corporate occasions
Auf Basis einer automatischen Notentexterkennung (OMR) können Sie mit musiconn.scoresearch nach Melodien in den digitalisierten Ausgaben von Beethoven, Händel, Liszt und Schubert der Bayerischen Staatsbibliothek suchen. Das Programm wurde im Rahmen des FID Musikwissenschaft (musiconn) an der BSB entwickelt und ermöglicht einen direkten Sucheinstieg in den Notentext dieser vier bedeutenden Komponisten.
Audio Library is a YouTube channel dedicated to search, catalog, sort and publish free music for commercial purposes, destined to content creators and filmma...
The Seikilos epitaph is the oldest surviving example of a complete musical composition, including musical notation, from anywhere in the world. The song, the...
Algorithmic music composition has developed a lot in the last few years, but the idea has a long history. In some sense, the first automatic music came from nature: Chinese windchimes, ancient Greek…
Virtual Sheet Music® - Download high quality sheet music, MIDI and Mp3 files. Classical sheet music and more. Piano, violin, all instruments music scores. Accompaniment files also available.
Particle physicist Brian Foster has teamed up with the musician Jack Liebeck to create a special show called "Einstein's Universe" -- a lecture interspersed ...
Chords and lyrics For "Oh Mary Don't You Weep" (also known as "Mary Don't You Weep"), plus a recording and an explanation of this song's origins.
K. Dinnissen, и C. Bauer. Proceedings of the 24th International Society for Music Information Retrieval Conference, стр. 482-491. ISMIR, ISMIR, (ноября 2023)
C. Bauer, и J. Devaney. Mediale Stimmentwürfe: Perspectives of media voice designs, том 7 из Schriftenreihe zur digitalen Gesellschaft NRW, kopaed Verlag, Munich, Germany, (апреля 2022)
A. Correya, R. Hennequin, и M. Arcos. (2018)cite arxiv:1808.10351Comment: Music Information Retrieval, Cover Song Identification, Million Song Dataset, Natural Language Processing.