Run micro_speech_test with FSD model on 1s data

[aczhang9]

Steps:

• [ ] Run tensorflow/examples/speech_commands/wav_to_features.py in tf-macos environment to generate spectrogram features from a second of data

  python3 wav_to_features.py --sample_rate=16000 --clip_duration_ms=1000 --window_size_ms=30 --window_stride_ms=20 --feature_bin_count=40 --quantize=1 --preprocess="micro" --input_wav="0.0.wav" --output_c_file="wearer_features_data.cc"

• [ ] Run make -f tensorflow/lite/experimental/micro/tools/make/Makefile test_micro_speech_test
  • [ ] with new input features and
  • [ ] FSD model converted to an array in .cc format