The AES E-library contains over 20,000 fully searchable PDF files documenting the progression of audio research from 1953 to the present day.
E-library papers are available for download to AES Member and Institutional Subscribers.
Non-members are invited to browse our library to purchase individual papers.
If you are interested in full, free access to every article in our library, contact HQ to start your AES membership
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NablAFx: A Framework for Differentiable Black-box and Gray-box Modeling of Audio Effects
Adaptive Neural Audio Mixing with Human-in-the-Loop Feedback: A Reinforcement Learning Approach
Complex-valued physics-informed neural networks for sound field estimation
Perceptions of an Artificial Intelligence Musical Collaborator
Multiple Loudspeaker Localization with Simultaneous Deconvolution
Neural Proxies for Sound Synthesizers: Learning Perceptually Informed Preset Representations
Investigation on a Crosstalk Cancellation Algorithm for Binaural Audio Headrest
Estimation and Restoration of Unknown Nonlinear Distortion Using Diffusion
NablAFx: A Framework for Differentiable Black-box and Gray-box Modeling of Audio Effects
Adaptive Neural Audio Mixing with Human-in-the-Loop Feedback: A Reinforcement Learning Approach
Neutone SDK: An Open Source Framework for Neural Audio Processing
Perceptual Evaluation of Machine Learning and Non-ML Emulations of the Vox AC30 Amplifier
Context-Aware Intelligent Mixing Systems
A Deep Learning Approach to Intelligent Drum Mixing With the Wave-U-Net
Gradient Descent Method With Multiple Adaptive Step Sizes for Identifying Loudspeaker Nonlinearities
A Multiple Listener Crosstalk Cancellation System Using Loudspeaker Dependent Regularization
Remote System Optimization 2020
Enhanced Temporal Feature Integration in Audio Semantics via Alpha-Stable Modeling
Deep Learning-Based Single-Ended Quality Prediction for Time-Scale Modified Audio
Method for Subjective Assessment of Immersion in Audiovisual Experiences
Benchmarking Networked Music Performance Tools With the NMP-Bench Model and Architecture
Experimenting With Adaptive Metronomes in Networked Music Performances
