Click here to Skip to main content
15,569,696 members
Articles / Artificial Intelligence / Machine Learning
Posted 7 Apr 2020

Stats

20.4K views
6 bookmarked

Creating a Text-to-speech engine with Google Tesseract and Arm NN on Raspberry Pi

7 Apr 2020CPOL8 min read
How to choose and convert an existing TensorFlow model to work with Arm NN and best practices for model conversion and implementing Arm NN solutions.
In this article, we'll outline a Tesseract and Arm NN text-to-speech solution running on Raspberry Pi. We'll use mostly off-the-shelf components and models, but will focus on understanding the process of converting a model from TensorFlow to Arm NN, such as choosing a model that works well with Arm NN. We'll also present some best practices for creating Arm NN-powered solutions.

This article is in the Product Showcase section for our sponsors at CodeProject. These articles are intended to provide you with information on products and services that we consider useful and of value to developers.

Views

Daily Counts

License

This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)


Written By
United States United States
Dawid Borycki is a software engineer and biomedical researcher with extensive experience in Microsoft technologies. He has completed a broad range of challenging projects involving the development of software for device prototypes (mostly medical equipment), embedded device interfacing, and desktop and mobile programming. Borycki is an author of two Microsoft Press books: “Programming for Mixed Reality (2018)” and “Programming for the Internet of Things (2017).”

Comments and Discussions