Found 3 results for "tag:python_tts"
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Best Open Source Text-to-Speech AI Tutorial in 2024
https://www.youtube.com/watch?v=STuEJLBLvoc
Parler-TTS is a lightweight text-to-speech (TTS) model that can generate high-quality, natural sounding speech in the style of a given speaker (gender, pitch, speaking style, etc). It is a reproduction of work from the paper Natural language guidance of high-fidelity text-to-speech with synthetic annotations by Dan Lyth and Simon King, from Stability AI and Edinburgh University respectively. Contrarily to other TTS models, Parler-TTS is a fully open-source release. All of the datasets, pre-processing, training code and weights are released publicly under permissive license, enabling the community to build on our work and develop their own powerful TTS models. Parler TTS - https://github.com/huggingface/parler-tts 🔗 Links 🔗 https://www.kaggle.com/code/nulldata/parler-tts-open-source-text-to-speech/ ❤️ If you want to support the channel ❤️ Support here: Patreon - https://www.patreon.com/1littlecoder/ Ko-Fi - https://ko-fi.com/1littlecoder 🧭 Follow me on 🧭 Twitter - https://twitter.com/1littlecoder Linkedin - https://www.linkedin.com/in/amrrs/
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Just get started - Thorsten Voice
https://www.thorsten-voice.de/en/just-get-started/
When you read this, you certainly don’t want to know how many months I read texts, how elaborately Dominik optimized the recordings and how long various CPUs and GPUs “glowed” to provide a TTS model with “machine learning”, right? You just want to use the TTS voice. Interested in samples? Here are some audio samples […]
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KittenML/KittenTTS: State-of-the-art TTS model under 25MB 😻
https://github.com/KittenML/KittenTTS
State-of-the-art TTS model under 25MB 😻 . Contribute to KittenML/KittenTTS development by creating an account on GitHub.