Recording voices is a laborious and expensive process, and this has created an enormous unmet demand for spoken content among the large audience of people who have learning and attention differences. To help meet this challenge, DeepZen is using AI on IBM Power Systems to create large and complex neural networks that can switch between multiple deep learning frameworks and are capable of combining emotive speech synthesis technology and natural language processing techniques. This solution aims to provide a cost and time effective alternative to studio recording.