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og:description: Parler-TTS is an open-source inference and training library for high-quality and controllable text-to-speech models. It addresses ethical concerns in voice...
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# HuggingFace Releases Parler-TTS: An Inference and Training Library for High-Quality, Controllable Text-to-Speech (TTS) Models

**[Machine Learning News](https://daily.dev/sources/mlnews)** · 5 min read · 28 upvotes · 0 comments

## Summary

Parler-TTS is an open-source inference and training library for high-quality and controllable text-to-speech models. It addresses ethical concerns in voice cloning, offers minimal data requirements for high-quality speech generation, and incorporates architectural advancements for natural-sounding, diverse speech.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.marktechpost.com/2024/04/10/huggingface-releases-parler-tts-an-inference-and-training-library-for-high-quality-controllable-text-to-speech-tts-models/>

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---

Tags: [#ai](https://daily.dev/tags/ai), [#open-source](https://daily.dev/tags/open-source), [#text-to-speech](https://daily.dev/tags/text-to-speech)

[View this post on daily.dev](https://daily.dev/posts/huggingface-releases-parler-tts-an-inference-and-training-library-for-high-quality-controllable-te-es4slkpkd)

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