Jazz Mapping: An Advanced Framework for Solo Analysis and Discovery in Jazz Music

Petrogianni A, Vassilakis D, Klampanos IA, Giannakopoulos T, Andreopoulou A. Jazz Mapping: An Advanced Framework for Solo Analysis and Discovery in Jazz Music. In: AES Convention 155. Audio Engineering Society; 2023. Paper 166. Available from: https://aes.org/publications/elibrary-page/?id=22320

@inproceedings{Petrogianni2023_22320,
  author = {Petrogianni, Antonia and Vassilakis, Dimitrios and Klampanos, Iraklis A. and Giannakopoulos, Theodoros and Andreopoulou, Areti},
  title = {{Jazz Mapping: An Advanced Framework for Solo Analysis and Discovery in Jazz Music}},
  booktitle = {AES Convention 155},
  note = {Paper 166},
  year = {2023},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=22320}
}

TY  - CPAPER
TI  - Jazz Mapping: An Advanced Framework for Solo Analysis and Discovery in Jazz Music
AU  - Petrogianni, Antonia
AU  - Vassilakis, Dimitrios
AU  - Klampanos, Iraklis A.
AU  - Giannakopoulos, Theodoros
AU  - Andreopoulou, Areti
T2  - AES Convention 155
M1  - Paper 166
PY  - 2023
DA  - 2023/10/06
UR  - https://aes.org/publications/elibrary-page/?id=22320
PB  - Audio Engineering Society
LA  - en
AB  - Jazz Mapping offers a systematic framework for analyzing jazz improvisation techniques. This method classifies and structures solo components hierarchically based on their musical relevance, providing insights into the distinct musical lexicon utilized by various jazz artists and genres. Implemented for ease of use, our system provides an API interface backed by a PostgreSQL database that contains annotated data for each solo. This allows users to procure basic metrics and source solos from designated artists or eras. Further, our system facilitates detailed analysis of solos by highlighting inter-referential components within the performance, elucidating the structural and thematic nuances of jazz improvisation.
ER  -