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Hlas-1
Expressive, controllable speech in a 3.5B open-weight model
Hlas-1 is a 3.5B open-weight text-to-speech model that whispers, laughs, cries, and follows custom emotion and pacing instructions. Shape delivery with inline tags, clone a voice from a short reference clip, and generate multilingual speech. Built as a spare-time project on Breeze TTS 2, with 24 kHz audio and a streaming runtime. Free for research and non-commercial use.
Hey Product Hunt, I’m Vojtech 👋
$0 seed round. 0 users. Just a fun side project built in my spare time.
Meet Hlas-1: a 3.5B open-weight text-to-speech model. Hlas means “voice” in Czech. I fine-tuned it from Breeze TTS 2 to make speech expressive and controllable.
The words and the performance live in the same text. Add [whispers], [laughs], [crying], or [long pause] exactly where you want them. You can also write your own directions, like [nervous, trying to sound confident] or [starting calm, then losing patience].
It also supports voice cloning from a short reference clip, multilingual speech, and 24 kHz audio through a streaming runtime.
Try it: https://vojtechcekal.com/hlas
Weights: https://huggingface.co/cekal/hlas-1
Hlas-1 is derived from Breeze TTS 2 by BreezeBlue and licensed for research and non-commercial use only. The inference runtime is Apache-2.0.
I’d love to hear what you make with it, especially unusual emotion or pacing directions. Which line should I try next?
About Hlas-1 on Product Hunt
“Expressive, controllable speech in a 3.5B open-weight model”
Hlas-1 was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #424 on the daily leaderboard. Hlas-1 is a 3.5B open-weight text-to-speech model that whispers, laughs, cries, and follows custom emotion and pacing instructions. Shape delivery with inline tags, clone a voice from a short reference clip, and generate multilingual speech. Built as a spare-time project on Breeze TTS 2, with 24 kHz audio and a streaming runtime. Free for research and non-commercial use.
On the analytics side, Hlas-1 competes within Developer Tools, Artificial Intelligence and Audio — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Hlas-1 performed against the three products that launched closest to it on the same day.
Who hunted Hlas-1?
Hlas-1 was hunted by Vojtech Cekal. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Hlas-1 including community comment highlights and product details, visit the product overview.
Vojtech Cekal