The use of large language models has made it easier for dictation software to quickly deliver better results. Is that enough ...

Meta's Brain2Qwerty v2 decodes typed sentences from brain scans at 61% accuracy with no implant. The catch: it's room-sized, not real-time, and lab-bound.

The entire high-level implementation of the model is contained in whisper.h and whisper.cpp. The rest of the code is part of the ggml machine learning library. Having such a lightweight implementation ...

This is the official repository 👑 for the WenetSpeech-Yue dataset and the source code for WenetSpeech-Pipe speech data preprocessing pipeline. To address the unique linguistic characteristics of ...