All about audio equalization: Solutions and frontiers

V Välimäki, JD Reiss - Applied Sciences, 2016 - mdpi.com
Audio equalization is a vast and active research area. The extent of research means that
one often cannot identify the preferred technique for a particular problem. This review paper …

A history of audio effects

T Wilmering, D Moffat, A Milo, MB Sandler - Applied Sciences, 2020 - mdpi.com
Audio effects are an essential tool that the field of music production relies upon. The ability to
intentionally manipulate and modify a piece of sound has opened up considerable …

Automatic music mixing with deep learning and out-of-domain data

MA Martínez-Ramírez, WH Liao, G Fabbro… - arXiv preprint arXiv …, 2022 - arxiv.org
Music mixing traditionally involves recording instruments in the form of clean, individual
tracks and blending them into a final mixture using audio effects and expert knowledge (eg …

Efficient neural networks for real-time modeling of analog dynamic range compression

CJ Steinmetz, JD Reiss - arXiv preprint arXiv:2102.06200, 2021 - arxiv.org
Deep learning approaches have demonstrated success in modeling analog audio effects.
Nevertheless, challenges remain in modeling more complex effects that involve time-varying …

[PDF][PDF] Ten years of automatic mixing

B De Man, J Reiss, R Stables - 2017 - open-access.bcu.ac.uk
Reflecting on a decade of Automatic Mixing systems for multitrack music processing, this
paper positions the topic in the wider field of Intelligent Music Production, and seeks to …

[PDF][PDF] Efficient neural networks for real-time analog audio effect modeling

CJ Steinmetz, JD Reiss - arXiv preprint arXiv:2102.06200, 2021 - researchgate.net
Deep learning approaches have demonstrated success in the task of modeling analog
audio effects such as distortion and overdrive. Nevertheless, challenges remain in modeling …

[图书][B] Intelligent music production

B De Man, R Stables, JD Reiss - 2019 - taylorfrancis.com
Intelligent Music Production presents the state of the art in approaches, methodologies and
systems from the emerging field of automation in music mixing and mastering. This book …

[PDF][PDF] Perceptual evaluation and analysis of reverberation in multitrack music production

B De Man, K McNally, JD Reiss - Journal of the Audio Engineering …, 2017 - qmro.qmul.ac.uk
Artificial reverberation is an important music production tool with a strong but poorly
understood perceptual impact. A literature review of the relevant works concerned with the …

A feature learning siamese model for intelligent control of the dynamic range compressor

D Sheng, G Fazekas - 2019 International Joint Conference on …, 2019 - ieeexplore.ieee.org
In this paper, a siamese DNN model is proposed to learn the characteristics of the audio
dynamic range compressor (DRC). This facilitates an intelligent control system that uses …

Adoption of AI Technology in the Music Mixing Workflow: An Investigation

SS Vanka, M Safi, JB Rolland, G Fazekas - arXiv preprint arXiv …, 2023 - arxiv.org
The integration of artificial intelligence (AI) technology in the music industry is driving a
significant change in the way music is being composed, produced and mixed. This study …