An efficient neural network-based speaker identification model was developed and deployed by Aizip Inc. The model can register multiple speakers and provide accurate and prompt identification results with low latency. It was co-designed to leverage the superior capabilities of the Lattice CrossLink NX-33 board, featuring an optimized hardware accelerator to support the model's computations.
Features
- Smallest production ready speaker ID model
- RISC-V and Hardware accelerator
- Low false positive and false negative rate
- Accurate, robust, and low latency model performance
- Small memory footprint
- Generic I2S audio interface
- Optimized computation kernel
