Notaistreamer github. . For TTS you can choose between many different voices by starting with “voice+colon”. It really wasn't that hard to do in any case, it was just taking what was already available on github and making it usable by an average Pepega. The models are trained on various datasets which were denoised and then transcribed with OpenAI Whisper. I do think its only a matter of time others start doing their own though. Bitcoin Miner for Chinese Communist Party TTS with syntax based on/similar to notaistreamer’s Forsen TTS donation system. Special features: Change voice by prefixing text by using name before the text. I think the WaveRNN vocoder sounds nicer than what VITS ends up producing, but because VITS is E2E, the Probably not. TTS Voices for Forsen’s streamTTS is $10. Contribute to Fawcan/TTS-Voices development by creating an account on GitHub. Example donation: “forsen: oh shit I’m sorry trump: sorry for what?” These are VITS models trained by finetuning the pretrained VITS LJSpeech model from Coqui TTS. The TTS is made by notaistreamer. TTS Voices for Forsen's stream. TTS is enabled for donations above $10. Compared to notaistreamer's implementation for Forsen, I believe he uses Tacotron + WaveRNN. As far as I know the trained voice models are located only on Forsen's PC and the guy who made them originally (notaistreamer) The fun of putting it together and LULing at the stream is enough for me. qlcvx wrkrmsg csco ajo zurn hbqep jtglz gouv faoxow xnrxdm