Automatic audio segmentation using a measure of audio novelty
By J. Foote. 2000 IEEE International Conference on Multimedia and Expo. ICME2000. Proceedings. Latest Advances in the Fast Changing World of Multimedia (Cat. No.00TH8532), 2000
506 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Signal Processing
View Paper: https://www.semanticscholar.org/paper/042ad65e1af6b7c23c275e337edf1ebd65f1a3f3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Jean-Julien Aucouturier
- François Pachet
- Mark A. Bartsch
- Gregory H. Wakefield
- Theodoros Giannakopoulos
- Meinard Müller
- D. Ellis
- Eitan Wilf
In Signal Processing
- Jean-Julien Aucouturier
- François Pachet
- Mark A. Bartsch
- Gregory H. Wakefield
- Theodoros Giannakopoulos
- Meinard Müller
- D. Ellis
- Eitan Wilf
Citations in the corpus
- To catch a chorus: using chroma-based representations for audio thumbnailing (2001, background): “In another work, Foote [3] identifies this problem, which he calls audio “gisting,” as an application of his measure of audio novelty.”
- Improving Timbre Similarity : How high’s the sky ? (2004, background): “Queen - Bohemian rapsody), a segmentation step could increase the accuracy of the measure, but such techniques are not considered in this study (see for instance [11]).”
- A tutorial on onset detection in music signals (2005, unknown): “In this paper, we refer to such a signal as a detection function; in the literature, the term novelty function is sometimes used instead [2].”
- Audio thumbnailing of popular music using chroma-based representations (2005, background): “Foote [ 13 ] has suggested audio “gisting” as an potential application for his measure of audio novelty.”