TY - JOUR
T1 - Harmony generation driven by a perceptually motivated tonal interval space
AU - Bernardes, Gilberto
AU - Cocharro, Diogo
AU - Guedes, Carlos
AU - Davies, Matthew E.P.
N1 - Funding Information:
Project "TEC4Growth - Pervasive Intelligence, Enhancers and Proofs of Concept with Industrial Impact/NORTE-01-0145-FEDER-000020" is financed by the North Portugal Regional Operational Programme (NORTE 2020), under the Portugal 2020 Partnership Agreement, and through the European Regional Development Fund (ERDF). This research is also supported by the Portuguese Foundation for Science and Technology under the postdoctoral grants SFRH/BPD/109457/2015 and SFRH/BPD/88722/2012.
Publisher Copyright:
© 2016 ACM.
PY - 2016/12
Y1 - 2016/12
N2 - We present D'accord, a generative music system for creating harmonically compatible accompaniments of symbolic and musical audio inputs with any number of voices, instrumentation, and complexity. The main novelty of our approach centers on offering multiple ranked solutions between a database of pitch configurations and a given musical input based on tonal pitch relatedness and consonance indicators computed in a perceptually motivated Tonal Interval Space. Furthermore, we detail a method to estimate the key of symbolic and musical audio inputs based on attributes of the space, which underpins the generation of key-related pitch configurations. The system is controlled via an adaptive interface implemented for Ableton Live, MAX, and Pure Data, which facilitates music creation for users regardless of music expertise and simultaneously serves as a performance, entertainment, and learning tool. We perform a threefold evaluation of D'accord, which assesses the level of accuracy of our key-finding algorithm, the user enjoyment of generated harmonic accompaniments, and the usability and learnability of the system.
AB - We present D'accord, a generative music system for creating harmonically compatible accompaniments of symbolic and musical audio inputs with any number of voices, instrumentation, and complexity. The main novelty of our approach centers on offering multiple ranked solutions between a database of pitch configurations and a given musical input based on tonal pitch relatedness and consonance indicators computed in a perceptually motivated Tonal Interval Space. Furthermore, we detail a method to estimate the key of symbolic and musical audio inputs based on attributes of the space, which underpins the generation of key-related pitch configurations. The system is controlled via an adaptive interface implemented for Ableton Live, MAX, and Pure Data, which facilitates music creation for users regardless of music expertise and simultaneously serves as a performance, entertainment, and learning tool. We perform a threefold evaluation of D'accord, which assesses the level of accuracy of our key-finding algorithm, the user enjoyment of generated harmonic accompaniments, and the usability and learnability of the system.
KW - Generative music
KW - Harmony
KW - Tonal pitch space
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U2 - 10.1145/2991145
DO - 10.1145/2991145
M3 - Article
AN - SCOPUS:85009290012
SN - 1544-3574
VL - 14
JO - Computers in Entertainment
JF - Computers in Entertainment
IS - 2
M1 - 6
ER -