Sherpa-ONNX TTS

Text-to-speech is one part of sherpa-onnx, an on-device speech toolkit from the k2-fsa next-gen Kaldi project that runs entirely offline through ONNX Runtime. On the synthesis side it executes models from several engines, including VITS, Piper, Matcha, Kokoro, and MeloTTS, producing multilingual speech without any cloud service; the same framework also covers speech recognition, voice activity detection, speaker identification and diarization, keyword spotting, and speech enhancement. Portability is the project's defining trait: it runs on x86, 32-bit and 64-bit ARM, and RISC-V processors, on Linux, Windows, macOS, Android, iOS, HarmonyOS, and WebAssembly, and on boards like Raspberry Pi and NVIDIA Jetson, with NPU support for several vendors. Bindings exist for C++, C, Python, Go, C#, Java, Kotlin, JavaScript, Swift, Rust, Dart, and Object Pascal. Open source under Apache 2.0, it is a common choice for embedding offline speech synthesis in mobile apps, desktop software, and embedded devices where privacy or connectivity rules out hosted APIs.