Audio thumbnailing of popular music using chroma-based representations

By Mark A. Bartsch, Gregory H. Wakefield. IEEE transactions on multimedia, 2005

308 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Signal Processing

View Paper: https://www.semanticscholar.org/paper/23c740f9807fc93c5f3da523c2b90528720d2c1c

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

1. Theodoros Giannakopoulos
2. Meinard Müller
3. Dave Hale

In Signal Processing

1. Theodoros Giannakopoulos
2. Meinard Müller
3. Dave Hale

Citations in the corpus

• Fundamentals of Music Processing (2015, methodology): “This is the reason why these features—sometimes also referred to as pitch class profiles—have become a major tool for processing and analyzing music data [2, 22, 45].”
• pyAudioAnalysis: An Open-Source Python Library for Audio Signal Analysis (2015, methodology): “The library actually implements a variant of the method proposed in [13], which is based on finding the maximum of a filtered version of the self-similarity matrix.”