End-to-End-TTS-Fine-Tune

Facebook AI Research's Automatic Speech Recognition Toolkit

PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models

[ICLR'23 Spotlight & IJCV'24] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction

使用预训练语言模型BERT做中文NER

Espresso: A Fast End-to-End Neural Speech Recognition Toolkit

实时语音交互数字人，支持端到端语音方案（GLM-4-Voice - THG）和级联方案（ASR-LLM-TTS-THG）。可自定义形象与音色，无须训练，支持音色克隆，首包延迟低至3s。Real-time voice interactive digital human, supporting end-to-end voice solutions (GLM-4-Voice - THG) and cascaded solutions (ASR-LLM-TTS-THG). Customizable appearance and voice, supporting voice cloning, with initial package delay as low as 3s.

Fine-tune SAM (Segment Anything Model) for computer vision tasks such as semantic segmentation, matting, detection ... in specific scenarios

Scale LLM Engine public repository

Code for finetuning AlexNet in TensorFlow >= 1.2rc0

Open-Source Toolkit for End-to-End Speech Recognition leveraging PyTorch-Lightning and Hydra.