Tag: machine learning

Inference Engines and Audio – Harriet Drury – ADC23

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https://audio.dev/ -- @audiodevcon​

Inference Engines and Audio - Harriet Drury - ADC 2023

Machine learning has become a buzzword in recent years, but how does it actually work? This talk aims to introduce and explain inference pipelines. We’ll look at commonly used inference engines, how they work, their suitability for use in audio applications, and how to go about creating your own.

Also introduced will be an approach to writing a custom inference engine for the Cmajor platform.

Link to Slides: https://data.audio.dev/talks/2023/inference-engines-and-audio/slides.pdf
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Harriet Drury
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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 #audio #audiotech #machinelearning

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Designing Smart Algorithms with Traditional DSP vs. Machine Learning – Amit Shoham – ADCx SF

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Join Us For ADC23 - London - 13-15 November 2023
More Info: https://audio.dev/
@audiodevcon

Designing Smart Algorithms with Traditional DSP vs. Machine Learning - Amit Shoham - ADCx SF

Smart algorithms such as wakeword detection, tempo detection, song recognition, and many others have become an integral component of countless applications. These algorithms rely on a wide range of machine learning and/or traditional DSP techniques. While machine learning techniques are now solving previously impossible problems, algorithms designed with more traditional engineering techniques often require fewer system resources and are easier to deploy. In this talk we'll compare and contrast machine learning and traditional engineering approaches, and discuss fundamental principles that will help you determine what mix of techniques is best for your application.

Slides: https://data.audio.dev/talks/ADCxSF/designing-smart-algorithms/slides.pdf
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Amit Shoham

Amit Shoham has led dual careers as a musician and engineer. His professional roles have included DSP engineer, house music producer, DJ, computer vision engineer, remixer, deep learning engineer, mastering engineer, and troublemaker. Amit is currently a senior systems architect and algorithms guru at Artiphon, where his deep expertise in algorithm design and optimization helps bring to life innovative new musical instruments.

Streamed & 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 ADC22 Team:

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

#audiodevcon #audiodev #deeplearning

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