YoVDO

Leveraging Pruning and Quantization for Efficient Real-Time Audio Applications

Offered By: ADC - Audio Developer Conference via YouTube

Tags

Audio Processing Courses Deep Learning Courses Long short-term memory (LSTM) Courses Quantization Courses Audio Effects Courses Model Compression Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the crucial model compression techniques of pruning and quantization for efficient real-time audio applications in this conference talk from ADCx India 2024. Discover how these methods can significantly reduce computational complexity and memory usage while maintaining high performance in resource-constrained environments. Learn about various pruning methodologies, quantization processes, and their impact on sophisticated audio models for tasks such as real-time audio effects, audio style transfer, and source separation. Gain insights into implementing these techniques to enhance the efficiency of complex audio processing models, enabling robust real-time performance even on devices with limited resources.

Syllabus

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


Taught by

ADC - Audio Developer Conference

Related Courses

Audio Classification with TensorFlow
Coursera Project Network via Coursera
How to Make Your Podcast Sound Great
CreativeLive
Working with Hugging Face
DataCamp
Digital Signal Processing
École Polytechnique Fédérale de Lausanne via Coursera
Introduction to Digital Sound Design
Emory University via Coursera