NVIDIA beats Whisper with Parakeetv2
AI Summary
In this video, Sam Witteveen discusses NVIDIA’s new open-weight Automatic Speech Recognition (ASR) system, Parakeet v2. Following the introduction of OpenAI’s Whisper model over two years ago, NVIDIA has released a new version of Parakeet that boasts significant improvements. Unlike the original, Parakeet v2 is a smaller model with 6 billion parameters that offers faster and more accurate English language transcription, even outperforming Whisper in word error rates. The model includes features like precise word-level timestamps, punctuation prediction, and capitalization.
Sam explains that while this model is limited to English, it is a great option for those needing quick transcription without relying on cloud services. The video includes a demonstration of its capabilities in a collaborative coding environment, showing how to set up and utilize the model for longer audio files, highlighting its efficiency and accuracy.
Additionally, viewers are directed to various resources, including Colab links for hands-on experimentation and Hugging Face for model access, along with timestamps for specific topics covered in the video.