An end-to-end machine learning system for harmonic analysis of music

Details An end-to-end machine learning system for harmonic analysis of music An end-to-end machine learning system for harmonic analysis of music

2011-07-25

arxiv.org/abs/1107.4969v1

Computer Science

Sound

MIREX report and preparation of Journal submission

Scientific paper

We present a new system for simultaneous estimation of keys, chords, and bass notes from music audio. It makes use of a novel chromagram representation of audio that takes perception of loudness into account. Furthermore, it is fully based on machine learning (instead of expert knowledge), such that it is potentially applicable to a wider range of genres as long as training data is available. As compared to other models, the proposed system is fast and memory efficient, while achieving state-of-the-art performance.

Affiliated with

Also associated with

No associations

Rating

An end-to-end machine learning system for harmonic analysis of music does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with An end-to-end machine learning system for harmonic analysis of music, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and An end-to-end machine learning system for harmonic analysis of music will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-572826