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Tom P

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reacted to hexgrad's post with 🔥 14 days ago

Wanted: Peak Data. I'm collecting audio data to train another TTS model: + AVM data: ChatGPT Advanced Voice Mode audio & text from source + Professional audio: Permissive (CC0, Apache, MIT, CC-BY) This audio should *impress* most native speakers, not just barely pass their audio Turing tests. Professional-caliber means S or A-tier, not your average bloke off the street. Traditional TTS may not make the cut. Absolutely no low-fi microphone recordings like Common Voice. The bar is much higher than last time, so there are no timelines yet and I expect it may take longer to collect such mythical data. Raising the bar means evicting quite a bit of old data, and voice/language availability may decrease. The theme is *quality* over quantity. I would rather have 1 hour of A/S-tier than 100 hours of mid data. I have nothing to offer but the north star of a future Apache 2.0 TTS model, so prefer data that you *already have* and costs you *nothing extra* to send. Additionally, *all* the new data may be used to construct public, Apache 2.0 voicepacks, and if that arrangement doesn't work for you, no need to send any audio. Last time I asked for horses; now I'm asking for unicorns. As of writing this post, I've currently got a few English & Chinese unicorns, but there is plenty of room in the stable. Find me over on Discord at `rzvzn`: https://discord.gg/QuGxSWBfQy

liked a Space 15 days ago

webml-community/kokoro-webgpu

reacted to Xenova's post with 🔥 15 days ago

We did it. Kokoro TTS (v1.0) can now run 100% locally in your browser w/ WebGPU acceleration. Real-time text-to-speech without a server. ⚡️ Generate 10 seconds of speech in ~1 second for $0. What will you build? 🔥 https://huggingface.co/spaces/webml-community/kokoro-webgpu The most difficult part was getting the model running in the first place, but the next steps are simple: ✂️ Implement sentence splitting, allowing for streamed responses 🌍 Multilingual support (only phonemization left) Who wants to help?

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