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espeak-ng is a multilingual text-to-speech engine and C-based library that converts written text into spoken audio across various languages, accents, and regional dialects. It functions as both a programmatic interface for embedding synthesis capabilities into external applications and a phonetic text converter that translates written text into phoneme codes.
The main features of espeak-ng/espeak-ng are: Multilingual Text-to-Speech Engines, Speech Synthesis Libraries, Diphone Synthesizers, Formant Synthesizers, Formant Synthesis, Grapheme To Phoneme Conversion, Diphone Synthesis, Text-to-Speech Integrations.
Projects with overlapping indexed features include: lokerl/tts-vue — 🎤 微软语音合成工具,使用 Electron + Vue + ElementPlus + Vite 构建。. koljab/realtimetts — RealtimeTTS is a real-time text-to-speech engine and stream processor designed to convert text or token streams into… remsky/kokoro-fastapi — Kokoro-FastAPI is a text-to-speech API and LLM speech synthesis server that generates spoken audio from text via a… moonshine-ai/moonshine — Moonshine is a complete on-device voice interface toolkit that provides speech recognition, text-to-speech synthesis,… supertone-inc/supertonic — Supertonic is an on-device neural text-to-speech engine that runs entirely locally without cloud dependencies or GPU… myshell-ai/melotts — MeloTTS is an open-source text-to-speech library that generates natural-sounding speech across six languages, with the…
🎤 微软语音合成工具,使用 Electron Vue ElementPlus Vite 构建。
RealtimeTTS is a real-time text-to-speech engine and stream processor designed to convert text or token streams into audio playback with minimal latency. It provides a programmatic interface for managing audio streams, synthesis progress, and the integration of local or cloud-based speech engines. The system includes a neural voice cloning tool that generates synthetic speech by extracting acoustic features from reference audio samples. It utilizes a provider-based abstraction to route synthesis requests across different neural models and cloud APIs. The project covers a range of functional
Kokoro-FastAPI is a text-to-speech API and LLM speech synthesis server that generates spoken audio from text via a REST interface. It functions as a Kubernetes-native deployment designed for orchestrated speech synthesis. The system includes a voice blending engine that creates unique vocal profiles by mixing multiple existing voices using custom weight ratios. The service provides real-time audio streaming to reduce latency and generates word-level timestamps for speech synchronization. It manages hardware efficiency through on-demand model loading to optimize VRAM usage and includes system
Moonshine is a complete on-device voice interface toolkit that provides speech recognition, text-to-speech synthesis, phonetic processing, speaker diarization, and intent recognition, all running locally on edge hardware without any cloud dependency. It executes quantized neural networks for speech and language tasks directly on the device, enabling fully offline conversational AI capabilities. The toolkit distinguishes itself by orchestrating multi-turn spoken exchanges through a conversational flow manager that maintains context across interactions and manages branching dialog flows. It inc