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

7 Apr 2020CPOL8 min read 21.1K   6  
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.

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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).”

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