Title :
Content-adaptive musical audio watermarking based on the music theory of chords
Author :
Yogeswaran, Arjun ; Payeur, Pierre ; Zhao, Jiying
Author_Institution :
Sch. of Inf. Technol. & Eng., Univ. of Ottawa, Ottawa, ON, Canada
Abstract :
This paper proposes a novel content-adaptive music watermarking technique which uses the principles of music theory to enhance the capacity and robustness of watermark embedding. Using the musical concepts of key and chords, certain notes, which are musically coherent with the work, can be added or removed without impacting the listeners experience. The notes serve as the carrier of the watermarked bit. Since these notes are still within the human hearing range, with high enough strength, they will still remain intact after various audio compressions or distortions. The scheme does not require the original work to extract the watermark and serves as a framework to involve musical theory in optimizing watermark embedding algorithms.
Keywords :
audio coding; music; watermarking; content-adaptive watermarking; music theory; musical audio watermarking; musical chord concept; musical key concept; Audio compression; Auditory system; Compression algorithms; Data mining; Frequency domain analysis; Humans; Information technology; Robustness; Time domain analysis; Watermarking; audio watermarking; chords; content-adaptive; music theory; music watermarking;
Conference_Titel :
Haptic Audio visual Environments and Games, 2009. HAVE 2009. IEEE International Workshop on
Conference_Location :
Lecco
Print_ISBN :
978-1-4244-4217-1
Electronic_ISBN :
978-1-4244-4218-8
DOI :
10.1109/HAVE.2009.5356127