Deep Learning for Black-Box Modeling of Audio Effects

Accompanying audio samples for the paper: Martínez Ramírez M. A., Benetos, E. and Reiss J. D., “Deep Learning for Black-Box Modeling of Audio Effects” submitted to the Applied Sciences: Acoustics and Vibration - Digital Audio Effects special issue, December, 2019. Dry and wet bass and guitar recordings. Dry notes are taken from the IDMT-SMT-Audio-Effects dataset. Author: Michael Stein (Fraunhofer IDMT) https://www.idmt.fraunhofer.de/en/business_units/m2d/smt/audio_effects.html Wet notes are recorded from the limiter and preamplifier of a Universal Audio 6176 Vintage Channel Strip and from the horn and woofer of a 145 Leslie speaker cabinet.本数据集为Martínez Ramírez M. A.、Benetos E.与Reiss J. D.合著的论文《面向音频效果黑箱建模的深度学习》的配套音频样本，该论文于2019年12月提交至《应用科学：声学与振动——数字音频效果》特刊。数据集包含干声与湿声的贝斯及吉他录音，其中干声片段取自IDMT-SMT-Audio-Effects（IDMT-SMT音频效果）数据集，作者为迈克尔·斯坦（Fraunhofer IDMT，弗劳恩霍夫IDMT研究所），相关详情可访问：https://www.idmt.fraunhofer.de/en/business_units/m2d/smt/audio_effects.html；湿声片段则通过Universal Audio 6176 Vintage Channel Strip（通用音频6176复古通道条）的限幅器与前置放大器，以及145型Leslie speaker cabinet（莱斯利音箱机柜）的号筒与低音扬声器录制得到。