Data and Modeling in AI-Powered

Signal Processing Applications

AI is becoming more mainstream; it can be found everywhere from safety-critical automated driving systems to fraud detection to chatbots. Where once only a small group of machine learning engineers or data scientists could build AI-powered applications, now things are changing.

 

A growing number of signal processing engineers and domain experts are expanding their skill sets to create AI systems; this trend is made possible by an increase in pretrained models, existing research, and tools to synthesize and label large datasets.

 

Deep learning is an AI technique that is particularly well-suited to signal processing applications.

 

This ebook covers the basics of deep learning for signal processing and the tasks associated with preparing signal data and modeling a deep learning application, demonstrated through a speech processing example.

This ebook covers the basics of deep learning for signal processing and the tasks associated with preparing signal data and modeling a deep learning application, demonstrated through a speech processing example.