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6 , , monophonic pitch tracking/ estimation , , , (score following/ matching) , , , (performance evaluation), , , , , , , , , , , , , , , ,

7 13Abstract In this diploma thesis we handle the feature extraction problem from monophonic music signals. More specifically, firstly, we study the music recognition problem, which first and main step is pitch estimation /tracking of each note. Secondly, we handle the following and matching problem of the recognized input sequence with the reference sequence, i.e. the score of the musical piece. Because of the two modules performing in chain and the output of the first module is input in the second module, we evaluate the success of the Recognizer module. The evaluation is held with a set of test-cases performed by beginner students under real-world conditions and we propose improvements in cases, where the module fails to recognize correctly some notes. Last, we study a performance evaluation module, which takes as input the matched sequence and calculates the mistakes of the performer. We also search ways of automatic identification of bad quality tones, based on the spectrograms of these tones. Key words Estimation, tracking, pitch, note, tone, monophonic, music, score, following, matching, performance, evaluation, spectrogram, signal 2

8 , ッ , ,

9 , / , , , , , / (monophonic pitch tracking/estimation) , ( ) (score matching), , , (note quality assessment) , VEMUS/IMUTUS , , , , , , VEMUS , , , , , ,

10 / , ( ) , , VEMUS , , , , , , , VEMUS VEMUS ("Virtual European Music School") (IST - Information Society Technologies) (FP6 - Sixth Framework Program) VEMUS

11 13 ーWonderful things would come out of that box if only we knew how to evoke them ア John R.Pierce,1965: Portrait of the Computer as a Young Artist 6

12 ABSTRACT... 2 KEY WORDS (Loudness) (Pitch) (Timbre or Tone colour) / (ONSET) / / / / / VEMUS

13 MTX VEMUS ィC VEMUS ィC

14 (Music Technology) , , , , , (Computer Music) , , , , , , (Human-Computer Interaction, HCI) : ァ ァ , , /

15 , ョ , : / (Music Generation/Modeling) (Algorithmic Composition) , ッ70- ッ , , , , , , / (Sound Generation/Modeling) , , , , (feature-driven), Audio Mosaicing , , , / (Music Performance Analysis/Synthesis) ,

16 , , Analysis-by-Synthesis (AbS) , , , (Music Interfaces) , , Internet / (Music and Audio Understanding /Retrieval) , , , , ( ) , : , , , , ,

1 Fig. 1 Extraction of motion,.,,, 4,,, 3., 1, 2. 2.,. CHLAC,. 2.1,. (256 ).,., CHLAC. CHLAC, HLAC. 2.3 (HLAC ) r,.,. HLAC. N. 2 HLAC Fig. 2

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