We have explored cloud-based and on-device Text-to-Speech (TTS) solutions in previous posts. This post focuses on running a state-of-the-art Text-to-Speech (TTS) engine on a Raspberry Pi using Picovoice Orca Text-to-Speech. This brings fantastic possibilities to build responsive, privacy-respecting voice experiences.

Orca Text-to-Speech on a Raspberry Pi

The Orca engine was designed with the Raspberry Pi in mind. Orca generates speech efficiently on the Raspberry Pi and is ready to be used for:

  • Smart Home Assistants
  • Robotics
  • Accessibility Tools
  • Educational Devices
  • Any project where privacy or offline functionality are essential

We explored more application of on-device Text-to-Speech models in a previous blog post.

Neural TTS on a Raspberry Pi using Orca Text-to-Speech Python SDK

  1. Install the Orca Python SDK
  1. Import Orca and create an Orca instance.

Sign-up or Log in to Picovoice Console to copy your access key and replace ${ACCESS_KEY} with it.

  1. Synthesize your desired text with

For more information refer to the Orca Text-to-Speech Python SDK Documentation.

Strengths of Orca Text-to-Speech

Orca delivers state-of-the-art neural TTS capabilities without sacrificing privacy or efficiency, running smoothly on a Raspberry Pi. If you're looking for a reliable, privacy-focused TTS solution, give Orca a try! You can find installation instructions, documentation, and more on the Orca Text-to-Speech Documentation Page.

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