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README.md
README.md
 
 
analog_audio_provider.cpp
analog_audio_provider.cpp
 
 
arduino_main.cpp
arduino_main.cpp
 
 
audio_preprocessor_int8_model_data.cpp
audio_preprocessor_int8_model_data.cpp
 
 
audio_preprocessor_int8_model_data.h
audio_preprocessor_int8_model_data.h
 
 
audio_provider.h
audio_provider.h
 
 
command_responder.cpp
command_responder.cpp
 
 
command_responder.h
command_responder.h
 
 
feature_provider.cpp
feature_provider.cpp
 
 
feature_provider.h
feature_provider.h
 
 
main_functions.h
main_functions.h
 
 
micro_features_generator.cpp
micro_features_generator.cpp
 
 
micro_features_generator.h
micro_features_generator.h
 
 
micro_model_settings.h
micro_model_settings.h
 
 
micro_speech_pico.ino
micro_speech_pico.ino
 
 
micro_speech_quantized_model_data.cpp
micro_speech_quantized_model_data.cpp
 
 
micro_speech_quantized_model_data.h
micro_speech_quantized_model_data.h
 
 
pdm_audio_provider.cpp
pdm_audio_provider.cpp
 
 
recognize_commands.cpp
recognize_commands.cpp
 
 
recognize_commands.h
recognize_commands.h
 
 

README.md

Micro Speech for Pico Example

This micro_speech_pico implementation is using the modifications introduced in MICRO_SPEECH implementation for PICO-TFLMICRO and requires the Raspberry Pi Pico Arduino core, for all RP2040 boards by Earle F. Philhower, to be installed and used in Arduino IDE.

The main change compared to older implementations is that the tensorflow/lite/experimental/microfrontend is not used and instead the new approach, with a separate TFLM model for the audio preprocessing is used. See the official Micro Speech Example for details.

The default implementation in command_responder.cpp writes out the name of the recognized command to the serial port and turns on/off the default LED for the recognized yes/no commands. Real applications will want to take some custom action instead, and should implement their own versions of this function.