Capturing a Musician's Groove: Generation of Realistic Accompaniments from Single Song Recordings
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Demos Track. Pages 4140-4141.
Abstract
This demonstration presents a concatenative synthesis engine for the generation of musical accompaniments, based on chord progressions. The system takes a player's song recording as input, and generates the accompaniment for any other song, based on the input content. We show that working on accompaniment requires a special care about temporal deviations at the border of the sliced chunks, because they make most of the rhythmic groove. We address it by discriminating accidental deviations against intentional ones, in order to correct the first while keeping the second. We will provide a full demonstration of the system, from the recording process to the generation, in various conditions, inviting the audience to participate.
@inproceedings{ijcai2015p583,
title = {Capturing a Musician's Groove: Generation of Realistic Accompaniments from Single Song Recordings},
author = {Ramona, Mathieu and Cabral, Giordano and Pachet, François},
booktitle = {Proceedings of the Twenty-Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-15}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Qiang Yang and Michael Wooldridge},
pages = {4140--4141},
year = {2015},
month = {7},
note = {Demos Track},
url = {https://ijcai.org/proceedings/2015/583},
}
TY - CPAPER TI - Capturing a Musician's Groove: Generation of Realistic Accompaniments from Single Song Recordings AU - Ramona, Mathieu AU - Cabral, Giordano AU - Pachet, François T2 - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15 PB - International Joint Conferences on Artificial Intelligence PY - 2015 SP - 4140 EP - 4141 UR - https://ijcai.org/proceedings/2015/583 ER -Copied
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