StyleTTS2
StyleTTS 2 is a TTS model that synthesizes from text to sound using adversarial training with style diffusion and large speech language models. Their style models as a hidden random variable and allows for the production of text-appropriate style without the need for reference speech. It uses large pre-trained models such as WavLM as distinctive and achieves human-level synthesis in single and multi-speaker data sets.
yl4579 · Voice & Text-to-Speech
Common commercial products in this category: ElevenLabs, Amazon Polly, Google Cloud Text-to-Speech
- You train and infer on single-speaker LJSpeech or multi-speaker VCTK and LibriTTS datasets
- Using the provided base pre-trained models, you run the fine-tuning script for new speakers
- You take advantage of diffusion models that produce the most appropriate style for text without the need for reference speech
- • Last update 2 years ago
- • NeutralHacker News
StyleTTS2 – open-source Eleven-Labs-quality Text To Speech
“So, we've got this open-source TTS wizardry going on, which is kinda like if Siri had a caffeine overdose - faster, snappier, and way more fun at parties. This thing is running on gaming rigs with beefy GPUs, and it's apparently so user-friendly, even your grandma could set it…”
- • NeutralHacker News
StyleTTS2 – open-source Eleven-Labs-quality Text To Speech
“This is great! Nice work. I made my own whisper & auto-typer which types what you say (forked whisper-typer). I added OpenAI Q/A and RAG query feature so I could ask it questions (instead of auto keystroke typing) by voice command. For responses to questions, I used Eleven Labs…”
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Alternative pages
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