Introduction to MATLAB for Deep Learning in Audio and Speech Applications

Learn how to use deep learning in classification and detection applications with audio, speech, and acoustic data in this introduction to some of the fundamental capabilities in MATLAB^®, Audio Toolbox ™, and Deep Learning Toolbox™. Review the basics of deep learning for audio and speech through an easily understandable speech command recognition example, including designing and training a deep network from scratch using MATLAB. Import and manage labeled data sets, extract features from raw signals, augment available data, find and combine different types of network layers, and use GPU cards to accelerate network training. Find established pre-trained speech and audio models in MATLAB. Work with models developed using other deep learning frameworks.