Implementation of Musical Expression Analysis Functions for Audio-MIDI Encoder Tool "AUTO-F"

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  • オーディオ-MIDI符号化ツール「オート符」における表情付け解析機能の実装
  • オーディオ-MIDI フゴウカ ツール 「 オートフ 」 ニ オケル ヒョウジョウ ズケ カイセキ キノウ ノ ジッソウ

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Abstract

Our previously developed audio to MIDI code converter tool "Auto-F" has a feature of highprecisionharmonic tone analysis functions based on the Generalized Harmonic Analysis algorithm.Applying this tool, from given vocal acoustic signals we can create MIDI data, which enable toplayback voice-like signals with a standard MIDI synthesizer. However, for general MIDI editingpurposes, encoded harmonic tone note-events should be identifi ed and removed. It has been diffi cultto distinguish harmonic tone note-events from fundamental ones, because a harmonic tone may bebased on multiple fundamental tones and some harmonic tone may be also a fundamental one ingeneral music works. Moreover, in some cases microtonal expression control such as a pitch-bendbetween semi-tone based note events should be analyzed and added. In this paper, we propose animproved frequency analysis algorithm, which can decrease signal analysis processing loads byimproving an analysis frame positioning. The improved algorithm can increase a temporal analysisprecision, which can distinguish harmonic tone components from fundamental ones, analyze microtonenotes more precisely.

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