Hi,In the ARM ML Zoo, https://github.com/ARM-software/ML-zoo only KWS models have an example TensorFlowLite for Microcontrollers code at https://github.com/ARM-software/ML-examples/tree/main/tflu-kws-cortex-m/kws_cortex_m
For noise suppression https://github.com/ARM-software/ML-zoo/tree/master/models/noise_suppression/RNNoise/tflite_int8 there is no TensorFlowLite for Microcontrollers example code.
Same for the speech recognition using wav2letter, github.com/.../tflite_pruned_int8
How did ARM benchmark the performance on ARM Cortex M, A etc ?
Are the inferencing codes on microcontrollers using TensorFlowLite Micro available for public access ?
Thanks,
tepalia02TensorFlow Lite Micro can run on ARM Cortex M4 and M7 for eg) Arduino Nano 33 BLE Sense and even their ARM ML Zoo KWS models and TFLite-micro code is demonstrated to run on ARM Cortex M7 and M4.The partial list is available at www.tensorflow.org/.../microcontrollers