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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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ReverbFX: A Dataset of Room Impulse Responses Derived from Reverb Effect Plugins for Singing Voice Dereverberation

Authors: Richter, Julius; Svajda, Till; Gerkmann, Timo;

ReverbFX: A Dataset of Room Impulse Responses Derived from Reverb Effect Plugins for Singing Voice Dereverberation

Abstract

Description: ReverbFX is a dataset of 1,846 room impulse responses (RIRs) designed to advance research in singing voice dereverberation, with a special focus on artificial reverberation used in music production. Unlike conventional RIR datasets recorded in real acoustic spaces or simulated via physical models, ReverbFX is derived exclusively from a diverse collection of professional reverb audio effect plugins, including Protoverb, SkyNet, TAL-Reverb-4, and Valhalla Supermassive. Each RIR was generated by processing Dirac impulses through these plugins with factory and custom presets (randomized for further diversity). The resulting RIRs cover a wide range of decay times (RT60 spanning 0.31 to 52.08 seconds) and reverberation characteristics, capturing the creative breadth of artificial reverbs encountered in contemporary music production. A stringent validation protocol was applied to ensure data quality, checking for numerical integrity, DC offset, signal energy, plausible RT60 range, envelope decay, and early energy concentration. Key Features: - 1,846 plugin-derived RIRs - Four widely used reverb plugins (see paper for details) - Wide range of reverberation times and characteristics - Fully open metadata and link to corresponding plugin settings - All audio files share the same specifications: - Duration: 00:10 (10 seconds) - Audio channels: Stereo - Sample rate: 48 kHz - Bits per sample: 32-bit float - Designed for benchmarking and developing dereverberation and audio enhancement models for creative scenarios Data Structure:The dataset is organized as follows:ReverbFX├── LICENCE.txt├── meta│ ├── test.csv│ ├── train.csv│ └── valid.csv├── test│ ├── Protoverb_100_03.wav│ ├── Protoverb_105_00.wav│ ... │ └── Valhalla_WideVocalSwell_10.wav├── train│ ├── Protoverb_100_01.wav│ ├── Protoverb_100_02.wav│ ...│ └── Valhalla_WideVocalSwell_14.wav└── valid ├── Protoverb_103_01.wav ├── Protoverb_106_04.wav ... └── Valhalla_WideVocalSwell_04.wav - LICENCE.txt: License information- meta/: Metadata and split definitions (CSV files for train/valid/test)- train/, valid/, test/: Folders containing RIRs (WAV files), named by plugin and preset - All WAV files: 10 seconds stereo, 48 kHz sample rate, 32-bit float Use Cases: - Training and evaluation of machine learning models for dereverberation- Benchmarking source separation and audio enhancement technologies in artificial reverb scenarios- Research in music information retrieval and creative audio processing License: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0). Non-commercial research and educational use only. For details, see LICENCE.txt. Attribution: Please cite the original paper in any derivative works or publications: Julius Richter, Till Svajda, Timo Gerkmann, "ReverbFX: A Dataset of Room Impulse Responses Derived from Reverb Effect Plugins for Singing Voice Dereverberation," ITG Conference on Speech Communication, Berlin, Germany, Sept. 2025. Please acknowledge the original plugin developers. Contact: For questions or collaboration inquiries, contact {julius.richter,timo.gerkmann}@uni-hamburg.de. Link: Project website: https://sp-uhh.github.io/reverbfx

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Keywords

reverberation, room impulse response, audio effect plugins, dereverberation, reverb

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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