YoVDO

Real-Time Audio Source Separation on iOS Devices

Offered By: ADC - Audio Developer Conference via YouTube

Tags

iOS Development Courses Deep Learning Courses Core ML Courses Model Optimization Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore real-time audio source separation on iOS devices in this 30-minute conference talk from the Audio Developer Conference (ADC22). Dive into the challenges of implementing low-latency source separation for musicians, focusing on djing and music learning applications. Learn about state-of-the-art deep learning-based source separation algorithms, model optimization techniques for iOS mobile platforms using Core ML and ANE, and low-level integration for real-time use cases. Gain insights from audio developers Adrien Ferrigno and Clément Tabary as they share their expertise in tackling the complexities of bringing this technology to mobile devices, potentially revolutionizing how musicians interact with music in real-time settings.

Syllabus

Real-Time Audio Source Separation on iOS Devices - Adrien Ferrigno and Clément Tabary - ADC22


Taught by

ADC - Audio Developer Conference

Related Courses

3D-печать для всех и каждого
Tomsk State University via Coursera
Art and Science of Machine Learning em Português Brasileiro
Google Cloud via Coursera
Art and Science of Machine Learning auf Deutsch
Google Cloud via Coursera
Art and Science of Machine Learning en Français
Google Cloud via Coursera
Art and Science of Machine Learning 日本語版
Google Cloud via Coursera