Just like a fingerprint, our voice is unique to each of us. With modern machine learning and compute optimization, voiceprint recognition can now be deployed on wearable and edge devices, even under demanding power efficiency constraints. For a lot small devices, fitting a user facing camera or fingerprint sensor often doesn't make sense. However, having a microphone and listening to our voice is an effective way for the device to know us. Being able to identify the user(s) o

Since the last case study post , questions have been asked about what should be done in order to easier get models running on low power platforms. It’s a big topic, but the most effective steps start right from the beginning in the model design phase. You likely have heard of “quantization aware training”, then “deployment aware design” is the same concept, but applied during model design, for the purpose of smooth deployment at the end. Check compatibility When the initial d