Real Time Speech to Text Running Whisper.cpp with CUDA on Jetson Orin Nano Super (thomasthelliez.com)

A recent development in real-time speech-to-text technology has been achieved using Whisper.cpp with CUDA on the NVIDIA Jetson Orin Nano Super, significantly reducing latency and enhancing usability for robotics applications. Real-time speech recognition is crucial for enabling seamless human-robot interaction, particularly in dynamic environments like manufacturing and healthcare. The Jetson Orin Nano Super platform, with its advanced AI capabilities, allows for on-device processing without the need for cloud dependency, thereby minimizing delays. The integration of Whisper, an open-source system developed by OpenAI, enhances its applicability in real-time scenarios by providing high accuracy and robust performance in noisy conditions. The transition from CPU-based processing to GPU-accelerated Whisper.cpp has resulted in a drastic reduction of transcription latency from tens of seconds to just a few seconds, making it suitable for interactive applications. This setup, which utilizes a low-memory architecture and keeps the AI model resident in GPU memory, enables efficient audio processing, allowing robotic systems to execute commands in a timely manner. As the robotics industry continues to expand, this advancement in speech recognition is pivotal for the adoption of humanoid and autonomous robots in various sectors, enhancing their ability to communicate and operate effectively in real-world environments.