H. A. Sánchez-Hevia, C. Llerena-Aguilar, G. Ramos-Auñón, and R. Gil-Pita, “Automatic Vocal Percussion Transcription Aimed at Mobile Music Production,” in Proc. AES Convention 138, May 2015, Paper 9352. [Online]. Available: https://aes.org/publications/elibrary-page/?id=17776
Sánchez-Hevia HA, Llerena-Aguilar C, Ramos-Auñón G, Gil-Pita R. Automatic Vocal Percussion Transcription Aimed at Mobile Music Production. In: AES Convention 138. Audio Engineering Society; 2015. Paper 9352. Available from: https://aes.org/publications/elibrary-page/?id=17776
@inproceedings{SanchezHevia2015_17776,
author = {Sánchez-Hevia, Héctor A. and Llerena-Aguilar, Cosme and Ramos-Auñón, Guillermo and Gil-Pita, Roberto},
title = {{Automatic Vocal Percussion Transcription Aimed at Mobile Music Production}},
booktitle = {AES Convention 138},
note = {Paper 9352},
year = {2015},
month = may,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=17776}
}
TY - CPAPER
TI - Automatic Vocal Percussion Transcription Aimed at Mobile Music Production
AU - Sánchez-Hevia, Héctor A.
AU - Llerena-Aguilar, Cosme
AU - Ramos-Auñón, Guillermo
AU - Gil-Pita, Roberto
T2 - AES Convention 138
M1 - Paper 9352
PY - 2015
DA - 2015/05/06
UR - https://aes.org/publications/elibrary-page/?id=17776
PB - Audio Engineering Society
LA - en
AB - In this paper we present an automatic vocal percussion transcription system aimed to be an alternative to touchscreen input for drum and percussion programming. The objective of the system is to simplify the workflow of the user by letting him create percussive tracks made up of different samples triggered by his own voice without the need of any demanding skill by creating a system tailored to his specific needs. The system consists of four stages: event detection, feature extraction, and classification. We are employing small user-generated databases to adapt to particular vocalizations while avoiding overfitting and maintaining computational complexity as low as possible.
ER -