The Stability Model of Piano Tone Tuning Based on Ordinary Differential Equations

Abstract Based on the theory of ordinary differential equations, this paper proposes a stable and discriminative method for piano tone tuning. We perform training hidden Markov model according to equations’ feature extraction parameters parameters. The can improve recognition rate tones. This trains tests MAPS universal dataset musical transcription automatic is uniformly trained synthetic part tested real recording part. experimental study found that proposed has high stability accuracy in recognition.