Title : 
Melody and bass line estimation method using audio feature database
         
        
            Author : 
Uchida, Yasunori ; Wada, Shigeo
         
        
            Author_Institution : 
Grad. Sch. of Eng., Tokyo Denki Univ., Tokyo, Japan
         
        
        
        
        
        
            Abstract : 
This paper proposes a musical instrument identification, melody and bass line estimation method of mixture sound signal for automatic music transcription. The method is based on sound feature verification using musical sound feature database such as tone (timbre) and pitch database. First, musical instrument is identified using MFCC. Then, melody and bass lines are estimated using time-frequency power spectrum peak positions of sound signal. Simulation results are given to show the effectiveness of our approach for musical instrument identification, melody and bass line estimation using mixture sound signals by MIDI.
         
        
            Keywords : 
audio databases; music; MFCC; MIDI; audio feature database; automatic music transcription; bass line estimation method; melody estimation method; mixture sound signal; musical instrument identification; pitch database; sound feature verification; tone database; Accuracy; Databases; Estimation; Instruments; Mel frequency cepstral coefficient; Music; Time frequency analysis; Audio signal processing; Feature extraction; Time-frequency analysis;
         
        
        
        
            Conference_Titel : 
Signal Processing, Communications and Computing (ICSPCC), 2011 IEEE International Conference on
         
        
            Conference_Location : 
Xi´an
         
        
            Print_ISBN : 
978-1-4577-0893-0
         
        
        
            DOI : 
10.1109/ICSPCC.2011.6061662