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Piper TTS

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What is Raspberry Pi OS?

Raspberry Pi Imager provides an efficient and user-friendly way to install Raspberry Pi OS and a selection of other operating systems onto a microSD card, preparing it for use with your Raspberry Pi device. To get a clear sense of the installation steps, take a look at our concise video tutorial that lasts just 45 seconds. Start by downloading and installing Raspberry Pi Imager on a computer that has an SD card reader. After that, insert the microSD card that you plan to use for your Raspberry Pi into the reader and open Raspberry Pi Imager. Users have the opportunity to choose from a wide range of operating systems offered by both Raspberry Pi and various external sources, making it easy to download and install them as necessary. This utility simplifies the entire setup process, thereby improving your overall experience with Raspberry Pi. By utilizing Raspberry Pi Imager, even beginners can seamlessly transition into the world of Raspberry Pi without any complications.

What is Piper TTS?

Piper is a high-speed, localized neural text-to-speech (TTS) system specifically designed for devices such as the Raspberry Pi 4, with the goal of delivering exceptional speech synthesis capabilities independent of cloud services. By utilizing neural network models created with VITS and later converted to ONNX Runtime, it ensures both efficient and lifelike speech generation. The system supports a wide range of languages including English (US and UK variations), Spanish (from Spain and Mexico), French, German, and several others, along with options for downloadable voices. Users can interact with Piper through command-line interfaces or easily incorporate it into Python applications using the piper-tts package, allowing for versatile usage. Features like real-time audio streaming, the ability to process JSON inputs for batch tasks, and support for multi-speaker models further enhance its functionality. In addition, Piper leverages espeak-ng for phoneme generation, converting text into phonemes prior to speech synthesis. Its versatility is evident in its applications across multiple projects such as Home Assistant, Rhasspy 3, and NVDA, showcasing its adaptability to various platforms and scenarios. By prioritizing local processing, Piper is particularly appealing to users who value privacy and efficiency in their speech synthesis applications. Its capability to operate seamlessly across different environments makes it a powerful tool for developers and users alike.