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# WhisperSpeech makes its way to AI.dev

**[Collabora Blog](https://daily.dev/sources/collabora)** · 2 min read · 0 upvotes · 0 comments

## Summary

Collabora is presenting WhisperSpeech, their open source text-to-speech model, at the inaugural AI.dev: Open Source GenAI & ML Summit in San Jose. The talk by Jakub Piotr Cłapa covers how Collabora scaled its models and training pipelines from hundreds to 80,000+ hours of speech recordings, lessons learned, and challenges encountered. WhisperSpeech is built on properly licensed speech datasets and unrestricted open source code, aiming to deliver natural-sounding speech synthesis. A video recording of the talk is available.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.collabora.com/news-and-blog/news-and-events/whisperspeech-at-ai-dev.html>

## Questions this post answers

### How did Collabora scale WhisperSpeech training data from hundreds to 80,000+ hours of speech?

WhisperSpeech was scaled from hundreds to 80,000+ hours of speech recordings by Collabora, with lessons and challenges shared by Jakub Piotr Cłapa at AI.dev. The model is built entirely on properly licensed speech datasets and unrestricted open source code, targeting natural-sounding speech synthesis. Specific pipeline tricks were detailed in the conference talk, with a video recording available.

_Developers working on open source speech synthesis track scaling approaches and dataset strategies on daily.dev._

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#deep-learning](https://daily.dev/tags/deep-learning), [#text-to-speech](https://daily.dev/tags/text-to-speech)

[View this post on daily.dev](https://daily.dev/posts/whisperspeech-makes-its-way-to-ai-dev-lt2lgm5zx)

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