)]}'
{
  "commit": "a43730e76b760c9ded726de9b659161645a728d9",
  "tree": "1e3bbcdccb67ee1580eafbd10ef35369db3b4b51",
  "parents": [
    "ffe0c897c8322143af495417c39af4717ed4cdd4"
  ],
  "author": {
    "name": "Lun Dong",
    "email": "lundong@google.com",
    "time": "Wed Jun 22 21:52:14 2022 -0700"
  },
  "committer": {
    "name": "Lun Dong",
    "email": "lundong@google.com",
    "time": "Mon Jun 27 13:37:36 2022 -0700"
  },
  "message": "Add support for audio pre-processing (MFCC extraction)\n\nThis is the complete code change for adding audio pre-processing block (MFCC feature extraction).\n\nThe code was re-written in C based on http://google3/audio/dsp/mfcc/mfcc_mel.py, with necessary simplifications.\n\nWe also integrated audio pre-processing into daredevil, to allow for end-to-end simulations with .wav audio input.\n\nNumerical correctness has been validated: extracted MFCC matches with\nthe reference (golden_whistle_spectrogram) and returned output is\ncorrect (Whistling). Unit tests passed.\n\nProfiling result: https://docs.google.com/document/d/1vAgRgZeVyOwIniiIp8RrmEvg3CB_p0PFgB2X9NLN4Fo\nThe pre-processing block adds a relatively constant number of extra instructions. So the percentage depends on the computational complexity of audio models (for daredevil: 65%)\n\nChange-Id: I662914e68170e5e28384960ad345c3366f9fb627\n",
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