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ZENODO
Dataset . 2024
License: CC BY NC
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY NC
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY NC
Data sources: Datacite
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ToneTwist AFx Dataset - External: Universal Audio 6176 Vintage Channel Strip - 1176LN Limiter

Authors: Martínez Ramírez, Marco A;

ToneTwist AFx Dataset - External: Universal Audio 6176 Vintage Channel Strip - 1176LN Limiter

Abstract

Dry Dry inputs are from: IDMT-SMT-Audio-Effects Settings Attack Release Input Output Ratio 10 10 4 7 All From source publication: 1176LN Limiter: Similarly, the wildly used field-effect transistor limiter 1176LN is sampled from the same 6176 Vintage Channel Strip unit. The limiter samples are recorded with the following settings: attack 800us, release 1100 ms, input level 4, output level 7 and ratio ALL. We use the slowest attack and release settings in order to further test the long-term memory of the models. The compression ratio value of ALL corresponds to all the ratio buttons of an original 1176 being pushed simultaneously. Thus, this setting also introduces distortion due to the variation of attack and release times. Github https://github.com/mcomunita/tonetwist-afx-dataset Source @article{martinez2020deep, title={Deep learning for black-box modeling of audio effects}, author={Mart{\'\i}nez Ram{\'\i}rez, Marco A and Benetos, Emmanouil and Reiss, Joshua D}, journal={Applied Sciences}, volume={10}, number={2}, pages={638}, year={2020}, publisher={MDPI}} Web https://mchijmma.github.io/DL-AFx Code N.A. Original Data https://zenodo.org/records/3562442

Keywords

audio effects, bass, guitar

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average