Automatic chord estimation for using in musical audio transcription
Miguel Segura Sogorb
Degree in Image and Sound in Telecommunications
Polytechnic School. University of Alicante.
The aim of this project is to implement a basic system of chord detection in music audio signals. From them, the chromagram is extracted and compared with a series of patterns that are characteristic of the chords to be estimated. The comparison is made through a similarity measure and different ways of creating the patterns from the harmonic content of the chords. Labelled databases have been used in order to assess the performance of the system, when comparing to three and four-note chords, in different ranges of pithches and dynamics, with dispare results.
Technical report (in Spanish)
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