{"repo":"Aratako/Irodori-TTS","free":true,"listed":false,"github":"https://github.com/Aratako/Irodori-TTS","clone":"git clone https://github.com/Aratako/Irodori-TTS.git","description":"A Flow Matching-based Text-to-Speech Model with Emoji-driven Style Control","language":"Python","stars":1192,"topics":["diffusion-models","flow-matching","python","speech-synthesis","text-to-speech","tts","voice-cloning"],"license":"MIT","category":"machine-learning","readme_excerpt":"Irodori-TTS Training and inference code for Irodori-TTS , a Flow Matching-based Text-to-Speech model. The architecture and training design largely follow Echo-TTS, using DACVAE continuous latents as the generation target. For an OpenAI-compatible inference API server, see Irodori-TTS-Server. [!IMPORTANT] main tracks the v4 codebase and is intended for use with the unified Irodori-TTS-v4.1-Small release. The current code remains backward-compatible with the released v2/v3 base and VoiceDesign checkpoints. Previous codebase states are available through the v3 , v2 , and v1 tags. v1 checkpoints / preprocessing are not compatible with v2/v3/v4. For model weights and audio samples, please refer to the Irodori-TTS-v4.1-Small model card. Features - Flow Matching TTS : Rectified Flow Diffusion Transformer (RF-DiT) over continuous DACVAE latents - Voice Cloning : Zero-shot voice cloning from reference audio - Multi-modal Voice Design : v4-Small combines text, reference speech, and caption text for voice identity plus style/emotion control - Long Reference Audio : One or more reference clips can be concatenated up to the checkpoint's 120-second limit - Emoji-based Style Control : Emoji annotations in input text can influence delivery and non-verbal vocal expressions in supported checkpoints - Automatic Duration Prediction : v4-Small estimates output length without manual --seconds - Automatic Watermarking : Generated audio is watermarked with SilentCipher when available - Multi-GPU Tra","default_branch":null,"files":null,"tree":[],"storefront":"/r/Aratako","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Aratako/Irodori-TTS/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}