#text to speech

Piper is designed to provide high-quality neural text-to-speech output with significant optimizations for the Raspberry Pi 4. It supports numerous languages such as English, Chinese, Arabic, and Spanish. Its adaptability includes integration into systems like Home Assistant and NVDA, with support for running on various platforms using Python scripts or C++ sources.

Discover an unofficial PyTorch implementation VALL-E, leveraging EnCodec for audio tokenization in text-to-speech synthesis. This project supports experimenting with AR and NAR models, offering customizable configurations and synthesis scripts. While the pretrained model is pending, the framework allows in-depth exploration with GPU-supported DeepSpeed.

The Android-Speech library streamlines the process of implementing speech recognition and text-to-speech features in Android applications. It offers simple Gradle setup, extensive examples, and customizable views for speech interactions. Developers benefit from adjustable voice, locale options, and logging settings, making the library versatile and adaptable. A demo app is available for easy adoption, ensuring efficient audio processing. With robust community support and detailed documentation, it's suited for applications aiming to improve interaction through natural language processing.

VoiceSmith provides an easy way for non-coders to train and run text-to-speech models for single and multiple speakers. Utilizing a refined DelightfulTTS and UnivNet structure, it optimizes model outputs on your datasets, with tools for automatic text normalization. The pretrained models are based on a vast repository of 5000 speakers, ensuring high adaptability. Compatible with Windows and Linux, and optimized for NVIDIA GPUs, VoiceSmith is a versatile tool. Developers can easily clone the repository and run the project while supporting its Apache-2.0 licensed evolution.

Talkify is a JavaScript library offering text-to-speech features, integrating multilingual TTS voices for website interaction. It allows API key acquisition for hosted voices and provides text highlighting, UI control, and playback customization. Capabilities include MP3 download and controlling playback aspects for enhanced accessibility. It offers 1000 free monthly requests, robust for web forms and selected text. SSML support is available for smoother voice synthesis.

The Flutter TTS plugin provides text-to-speech capabilities across Android, iOS, Web, Windows, and macOS. Features include customizable speech parameters and voice settings, easily integrated into projects with comprehensive guidance provided for Android and iOS adjustments, ideal for developers needing strong speech synthesis options.