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StyleTTS 2

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Code license
The repository states that its code is licensed under the MIT License. · github.com, 13 Oct 2026
Compute requirements
The repository notes that training or inference can run into out-of-memory issues and recommends reducing batch size or maximum audio length; it also says older GPUs may produce background noise. · github.com, 13 Oct 2026
Dependencies
The repository says its inference depends on a GPL-licensed package that is not included directly, and also links to a fully MIT-licensed package using gruut with lower output quality due to a phonemizer mismatch. · github.com, 13 Oct 2026
Evaluation
The makers report that StyleTTS 2 surpasses human recordings on single-speaker LJSpeech and matches them on multispeaker VCTK, as judged by native English speakers. · styletts2.github.io, 12 Oct 2026
Expressiveness
The sample page demonstrates expressive speech, style transfer, longform narration, and speech diversity. · styletts2.github.io, 13 Oct 2026
Inference
The repository provides inference notebooks and pretrained model downloads for LJSpeech and LibriTTS. · github.com, 13 Oct 2026
Installation
The repository lists Python 3.7 or newer as a prerequisite and gives additional installation instructions for Windows. · github.com, 13 Oct 2026
Known limitation
The repository says the distributed-data-parallel version of second-stage training does not work, so the current version uses data parallelism. · github.com, 13 Oct 2026
Language support
The repository says non-English training requires a pretrained PL-BERT model for the language and points to a multilingual PL-BERT supporting 14 languages. · github.com, 13 Oct 2026
Limitations
The README says the second-stage training code uses data parallelism because its distributed data parallel version does not work. · github.com, 12 Oct 2026
Linux dependency
The demo instructions say to install phonemizer and espeak-ng; the example espeak-ng command uses apt-get. · github.com, 12 Oct 2026
Model use
For pretrained models, the repository asks users to disclose synthesized speech unless they have permission to use the cloned voice, and says public voice use requires speaker permission or disclosure. · github.com, 13 Oct 2026
Online demo
The repository links to a Hugging Face online demo. · github.com, 13 Oct 2026
Open source license
The repository code is licensed under the MIT License. · github.com, 12 Oct 2026
Platforms
windows,linux,self_hosted · styletts2.github.io, 20 Sept 2026
Pretrained models
The repository links pretrained models for LJSpeech and LibriTTS. · github.com, 12 Oct 2026
Purpose
StyleTTS 2 is a text-to-speech model that uses style diffusion and adversarial training with large speech language models. · styletts2.github.io, 13 Oct 2026
Speaker adaptation
The project reports that its LibriTTS-trained model outperforms previous publicly available models for zero-shot speaker adaptation. · styletts2.github.io, 13 Oct 2026
Speech naturalness
The model uses pre-trained speech language models such as WavLM as discriminators and differentiable duration modeling to improve speech naturalness. · styletts2.github.io, 12 Oct 2026
Speech quality
The authors report that it surpasses human recordings on the single-speaker LJSpeech dataset and matches them on multispeaker VCTK, as judged by native English speakers. · styletts2.github.io, 13 Oct 2026
Style generation
It models speaking styles as latent random variables and uses diffusion to generate a suitable style without reference speech. · styletts2.github.io, 13 Oct 2026
Style transfer
The model can transfer an emotional style sampled from emotional text to input text that has no emotional content. · styletts2.github.io, 12 Oct 2026
Voice cloning
Yes · styletts2.github.io, 20 Sept 2026
Voice use terms
For pretrained models, the README says users must have permission to clone a speaker's voice or publicly disclose that the generated voice is synthesized. · github.com, 12 Oct 2026

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