Application: This sample code uses machine learning to implement keyword spotting on the M480.
BSP Version: M480 Series BSP CMSIS V3.04.000
Hardware: NuMaker-PFM-M487 Ver 3.0
A complete deep learning speech recognition system requires two platforms. One is PC platform. User can program the deep learning code and train the model by Tensorflow and Python. Due to the supervised learning for the training mode, it is necessary to give the system a large amount of training data and labels. Then the user can extract the features of speech data and train the model by deep neural networks (DNN). Until the system reaches the optimization, the user evaluates the accuracy by modifying the training model repeatedly. The other platform is Nuvoton NuMaker-PFM-M487 development board. The speech recognition system can be implemented based on the training parameters from PC platform.