soundKIT

AI Playground for Sound

Ambiq soundKIT™ is an open-source audio AI development kit (SDK) for training, evaluating, and deploying real-time, on-device audio models on Ambiq’s ultra-low-power SoCs. It supports speech enhancement, keyword spotting, and speaker verification for always-on edge AI applications, including smart home devices, wearables, smart glasses, industrial sensors, and medical devices.

Design Resources

Video Library

soundKIT Highlights

Audio Edge AI

Develop always-on key AI audio features, including speech enhancement (denoising and dereverberation), keyword spotting, voice activity detection, and speaker/voice authentication, on edge devices.

Task-Level Modes

Use s a consistent CLI across the full audio AI workflow: dataset setup, model training, benchmarking, validation, deployment, and real-time inference demos on PC or Ambiq EVBs.

Flexible Iteration

Swap datasets, models, tasks, and training recipes using YAML configurations, CLI commands, or Python APIs, without changing the core workflow.

Power and Performance

Powered by heliaRT™ for production-grade deployment on Apollo SoCs, delivering up to 3× faster inference than TFLM with vector-accelerated AI kernels, and enhanced int16x8 quantization for high-fidelity audio and speech