nvidia-nemo/speech is a framework for researchers studying speech models and for PyTorch developers. GitHub shows v3.0.0 as the latest release. However, no release notes are available in the public information, so what changed in this version cannot be confirmed.
The repository description presents this framework as an extensible generative AI structure for researchers and developers who work with large language models, multimodality and speech AI together. The README states that, alongside features related to Automatic Speech Recognition (ASR, speech recognition), Text-to-Speech (TTS, speech synthesis) and Speech LLM, it is designed to build, customize and deploy speech models by leveraging existing code and pretrained model checkpoints.
It covers speech synthesis model development, fine-tuning and inference in one place. It is a public project created on August 5, 2019, the primary language is Python, the license is Apache-2.0, and the GitHub star count is 18610.
The confirmable information ends here. The public information contains no performance figures for ASR·TTS accuracy or latency, and no comparison material against other speech frameworks. In the collected score record, the momentum item is 2.7 on a 10-point scale, which is low. It is closer to something worth watching than something to adopt right now.