Score-Informed Analysis of Tuning, Intonation, Pitch Modulation, and Dynamics in Jazz Solos

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Authors

Both the collection and analysis of large music repertoires constitute major challenges within musicological disciplines such as jazz research. Automatic methods of music analysis based on audio signal processing have the potential to assist researchers and to accelerate the transcription and analysis of music recordings significantly. In this paper, we propose a framework for analyzing improvised monophonic solos in multi-instrumental jazz recordings with special focus on reed and brass instruments. The analysis algorithms rely on prior score-information, which is taken from high quality manual solo transcriptions. Following an initial solo and accompaniment source separation, we propose algorithms for tone-wise extraction of fundamental frequency and intensity contours. Based on this fine-grained representation of recorded jazz solos, we perform several exploratory experiments motivated by questions relating to jazz research in order to analyze the use of expressive stylistic devices such as intonation, pitch modulation, and dynamics in jazz solos. The results show that a score-informed audio analysis of jazz recordings can provide valuable insights into the individual stylistic characteristics of jazz musicians.

Original languageEnglish
JournalIEEE/ACM Transactions on Audio Speech and Language Processing
Volume25
Issue number1
Pages (from-to)168-177
Number of pages10
ISSN2329-9290
DOIs
Publication statusPublished - 01.2017
Externally publishedYes

    Research areas

  • Dynamics, fundamental frequency contours, Jazz research, music analysis, score-informed audio analysis, source separation
  • Music education

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  1. Hana Attia

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