Tag: audio

Implementation of an IIR Antiderivative Anti-Aliasing Wavetable Oscillator – Maxime Coutant – ADC23

https://audio.dev/ -- @audiodevcon​

Implementation of an IIR Antiderivative Anti-Aliasing Wavetable Oscillator - Maxime Coutant - ADC 2023

Anti-aliasing is a crucial consideration for digital audio synthesis. Usually, for an oscillator, techniques like band-limited signals or oversampling are employed to mitigate this problem, but I investigated a method a bit more recent : Antiderivative Anti-Aliasing (ADAA). My search for a practical ADAA application in wavetable synthesis first yielded limited results. However, a paper titled "Antiderivative Antialiasing for Arbitrary Waveform Generation," published in August 2022, caught my attention.

The presentation will focus on three aspects:

• An Introduction to ADAA and the algorithm itself
• Insights into practical implementation and results
• Reflections on engaging with Academic Research

By the end of the talk the listener will know about the pros and cons of this technique and how and when to employ it. Furthermore, we will have illustrated some challenges of working with academic material as a software developer.

Link to Slides: https://docs.google.com/presentation/d/1mx8f7yxXMLxQ-pl3IcoqLkcZtQGd7z6gOidcQMAfxPc/edit
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Maxime Coutant

I'm an audio software engineer in the ADASP group, part of the LTCI public laboratory. Audio enthusiast, hobbyist musician and software addict, I love to share, learn and meet new people! Here at ADC23 I'll present a project I spent many hours on during this last year, hoping to lower the bridge between research and engineering!
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Streamed & Edited by Digital Medium Ltd: https://online.digital-medium.co.uk
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Organized and produced by JUCE: https://juce.com/
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Special thanks to the ADC23 Team:

Sophie Carus
Derek Heimlich
Andrew Kirk
Bobby Lombardi
Tom Poole
Ralph Richbourg
Jim Roper
Jonathan Roper
Prashant Mishra

#adc #audiodev #dsp #audio #softwareengineering #digitalaudio

Filed under: UncategorizedTagged with: , , , ,

Leveraging Pruning & Quantization for Real-Time Audio Applications – Dharanipathi Rathna Kumar

Join Us For ADC24 - Bristol - 11-13 November 2024
More Info: https://audio.dev/
@audiodevcon​

Leveraging Pruning and Quantization for Efficient Real-Time Audio Applications - Dharanipathi Rathna Kumar - ADCx India 2024

In the constantly changing world of audio processing, the demand for real-time response and high-quality output is a relentless challenge, especially in the presence of computational constraints. The rapid growth in model complexity, especially in deep learning, has made it challenging to deploy complex models involving architectures such as TCN, LSTM, etc. on resource-constrained devices and/or to achieve fast inference speeds for tasks such as real-time audio effects, audio style transfer, and source separation. Model compression is vital to address these challenges, making it possible to retain high performance while using fewer computational resources. This talk delves deep into two paramount model compression techniques, namely pruning, and quantization, and explores their applicability in the context of audio applications.

Pruning is a method of eliminating redundant or less contributive weights from the model to reduce the computation resources required to run the network. We'll explore its variants, methodologies, and outcomes, and how it can drastically reduce computational complexity without significantly undermining model performance. Quantization is the process of reducing the precision of the weights, biases, and activations such that they consume less memory. By reducing the bit-width of model parameters, we can achieve sizeable savings in memory and computational power, making it indispensable for on-device audio applications for real-time audio contexts.

In this presentation, I elucidate that by adopting strategic weight pruning and parameter quantization, it is feasible to significantly enhance the efficiency of sophisticated audio models, paving the way for robust, real-time audio processing even in resource-constrained environments.

Link to Slides: https://data.audio.dev/talks/ADCxIndia/2024/pruning-and-quantization-for-efficient-real-time-audio-applications.pdf
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Edited by Digital Medium Ltd - online.digital-medium.co.uk
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Organized and produced by JUCE: https://juce.com/
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Special thanks to the ADC24 Team:

Sophie Carus
Derek Heimlich
Andrew Kirk
Bobby Lombardi
Tom Poole
Ralph Richbourg
Prashant Mishra

#adc #audiodev #dsp #audio #audio

Filed under: UncategorizedTagged with: , , ,