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Jazz guitar solos are improvised melody lines played on one instrument on topof a chordal accompaniment (comping). As the improvisation happensspontaneously, a reference score is non-existent, only a lead sheet. There aresituations, however, when one would like to have the original melody lines inthe form of notated music, see the Real Book. The motivation is either for thepurpose of practice and imitation or for musical analysis. In this work, anautomatic transcriber for jazz guitar solos is developed. It resorts to a veryintuitive representation of tonal music signals: the pitchgram. Noinstrument-specific modeling is involved, so the transcriber should beapplicable to other pitched instruments as well. Neither is there the need tolearn any note profiles prior to or during the transcription. Essentially, theproposed transcriber is a decision tree, thus a classifier, with a depth of 3.It has a (very) low computational complexity and can be run on-line. Thedecision rules can be refined or extended with no or little musical education.The transcriber's performance is evaluated on a set of ten jazz solo excerptsand compared with a state-of-the-art transcription system for the guitar plusPYIN. We achieve an improvement of 34% w.r.t. the reference system and 19%w.r.t. PYIN in terms of the F-measure. Another measure of accuracy, the errorscore, attests that the number of erroneous pitch detections is reduced by morethan 50% w.r.t. the reference system and by 45% w.r.t. PYIN.

Decision-Based Transcription of Jazz Guitar Solos Using a Harmonic Bident Analysis Filter Bank and Spectral Distribution Weighting