Automatic music transcription software based on constant Q transform

Dobre, Robert Alexandru; Negrescu, Cristian

doi:10.1109/ecai.2016.7861193

Cited by 5 publications

(1 citation statement)

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“…The basic element of harmony is the chord which is a combination of notes used to support the concept of musical intelligence refers to our awareness of the forces present in the melodic, harmonic, and rhythmic impetus of music [21,22]. In recent years, there are more researches using Heart Rate Variability (HRV) bio-feedback data such as SDNN (Standard Deviation of Normal to Normal R Wave), LF (Low Frequency), and HF (High Frequency) to detect the autonomous nerve system condition as the music therapy effects [23,24].…”

Section: Introductionmentioning

confidence: 99%

Main Melody Configuration and Chord Algorithm for Relaxing Music Generation

Chen¹,

Fan²,

Huang³

et al. 2023

Intelligent Automation &Amp; Soft Computing

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This study applies the diatonic chord in music theory, utilization rate, and the close relationship between the main chord system, the dominant chord system, and the subordinate chord system. From the perspective of music theory, the computer can automatically and quickly analyze the music, and establish a set of algorithms for configuring the chord accompaniment for the main melody, called the symmetrical circle of fifths algorithm, SCFA (Symmetrical Circle of Fifths Algorithm). SCFA can immediately confirm the key, perform harmony analysis, configure chord accompaniment for the main melody, and effectively and correctly complete any given melody or interval. It can also quickly analyze and correctly configure the chord accompaniment for any MIDI (Musical Instrument Digital Interface) music, enriching the musicality of the music. It can also allow scorers or computer music creators to quickly deconstruct the harmony configuration of the melody. Through the measurement of bio-feedback sensor HRV (Heart Rate Variability), it can achieve a relaxing music healing effect.

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Section: Introductionmentioning

confidence: 99%