StyleTTS2 – open-source Eleven-Labs-quality Text To Speech (github.com)

Article summary

StyleTTS2 is an open-source text-to-speech model that achieves human-level synthesis using style diffusion and adversarial training with large speech language models. The model surpasses human recordings on single-speaker datasets and matches them on multi-speaker datasets. The project provides pre-trained models, demo code, and instructions for training and fine-tuning. The model's performance and quality are demonstrated through audio samples and online demos.

Main themes

• text-to-speech synthesis
• open-source models
• hardware requirements
• licensing and usage
• fine-tuning and customization
• potential applications
• model architecture and naming conventions
• quantization and output quality

What commenters say

• The model's quality is very good, with some users comparing it favorably to commercial products.
• There are concerns about the licensing terms, which some argue are not truly open-source due to additional restrictions on usage.
• The model's hardware requirements are modest, with some users reporting successful runs on consumer-grade GPUs and laptops.
• Fine-tuning the model to a particular voice can take several hours or days, depending on the hardware and dataset used.
• Some users are excited about the potential applications of the model, including local home assistants and video game NPCs.
• Others are skeptical about the model's ability to produce high-quality outputs with extreme quantization.
• The naming convention of the model is debated, with some arguing that it should not be called 'StyleTTS' if it does not use a StyleGAN architecture.