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  "text": "If you're looking for a weekend project, how about training your own text-to-speech model from scratch on your own GPU, and then running it on any device's CPU?\n\nWe just open-sourced the entire Pocket TTS training stack: data pipeline, recipes, and evals.\n\nIt learns pretty damn fast:\n~15k steps: babbling starts turning into words\n~50k steps: it reads anything you type (WER under 1%)\n~200k steps: the voice stops sounding synthetic\n\nOn a beefy consumer GPU, that's a week of training. On eight H100s: 10-20 hours. A TTS training run will cost you less than $200 if you rent your hardware, and an order of magnitude less if you just pay for power.\n\nSome things we'd love to see people try:\n- Train it in your own language (a few hundred hours of speech gets you surprisingly far).\n- Add new features to Pocket TTS (Emotion tags? Make it sing?).\n- Beat us at our own game: make it faster and smaller.\n\nShow us what you build! We'll highlight the best models and new languages for the whole community to enjoy. Pocket TTS has already found many use cases, from reading for people with visual impairments to making NPCs in video games talk, and we're sure there's much more to do with it!\n\nHere's an example of a Czech Pocket TTS. Try just asking your favorite agent to find data and apply the method, and you can have your own.\n\nGet started: https://t.co/3EH3sbKNRU",
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