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RNN VAD: LP residual optimized (part 3)

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Use hard-coded constants previously computed at runtime within a loop in
`DenoiseAutoCorrelation`.

Note that the `RnnVadTest.LpResidualPipelineBitExactness` unit test
is still passing.

Bug: webrtc:10480
Change-Id: I02c2fff7dc7153ea2ab8a27cad8a479a0f029996
Reviewed-on: https://webrtc-review.googlesource.com/c/src/+/189963
Commit-Queue: Alessio Bazzica <alessiob@webrtc.org>
Reviewed-by: Jakob Ivarsson <jakobi@webrtc.org>
Cr-Commit-Position: refs/heads/master@{#32489}
This commit is contained in:
Alessio Bazzica
2020-10-23 10:58:01 +02:00
committed by Commit Bot
parent ae2e8647aa
commit 1925402ed8
1 changed files with 7 additions and 3 deletions
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10
modules/audio_processing/agc2/rnn_vad/lp_residual.cc
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@ -40,9 +40,13 @@ void DenoiseAutoCorrelation(
rtc::ArrayView<float, kNumLpcCoefficients> auto_corr) {
// Assume -40 dB white noise floor.
auto_corr[0] *= 1.0001f;
for (size_t i = 1; i < kNumLpcCoefficients; ++i) {
auto_corr[i] -= auto_corr[i] * (0.008f * i) * (0.008f * i);
}
// Hard-coded values obtained as
// [np.float32((0.008*0.008*i*i)) for i in range(1,5)].
auto_corr[1] -= auto_corr[1] * 0.000064f;
auto_corr[2] -= auto_corr[2] * 0.000256f;
auto_corr[3] -= auto_corr[3] * 0.000576f;
auto_corr[4] -= auto_corr[4] * 0.001024f;
static_assert(kNumLpcCoefficients == 5, "Update `auto_corr`.");
}
// Computes the initial inverse filter coefficients given the auto-correlation