HarmTrace.Audio.ChromaChord

Summary: Recognise audio chroma vectors into textual chord descriptions.

Documentation

createChordRanks :: [BeatChroma] -> [TimedData [ProbChord]]

Having a matrix of beat-synchronised bass and treble chromagrams and a chord dictionary, the probability of a chord sounding at a particular beat is estimated by calculating the Euclidean distance between the chord structures and the chroma feature. These distances are calculated for every chord candidate at every beat. Next, we sort the chord candidates by descending Euclidean distance. To obtain a relative measure of the fit between a chord candidate and the chroma vector in the range [0,1], the distances are normalised by dividing them by distance of the best matching chord candidate.

beatSync :: BarTimeTrackData -> [ChordinoLine] -> [BeatChroma]

Synchronises the ChordinoData with the list of beats by grouping the ChordinoLines of the ChordinoData in separate lists.

meanBeatSyncVectors :: [BeatChroma] -> [TimedData (Vector NumData)]

mergeByOneAndThree :: [TimedData [ProbChord]] -> [TimedData [ProbChord]]

Merges chord segments, adding a bias toward merging at the first and the third Beat

module Numeric.LinearAlgebra

module Numeric.GSL.Statistics