1 files changed, 82 insertions, 0 deletions
diff --git a/third_party/libwebrtc/common_audio/vad/vad_gmm.c b/third_party/libwebrtc/common_audio/vad/vad_gmm.c
new file mode 100644
index 0000000000..4a7fe67d09
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+++ b/third_party/libwebrtc/common_audio/vad/vad_gmm.c
@@ -0,0 +1,82 @@
+/*
+ *  Copyright (c) 2011 The WebRTC project authors. All Rights Reserved.
+ *
+ *  Use of this source code is governed by a BSD-style license
+ *  that can be found in the LICENSE file in the root of the source
+ *  tree. An additional intellectual property rights grant can be found
+ *  in the file PATENTS.  All contributing project authors may
+ *  be found in the AUTHORS file in the root of the source tree.
+ */
+
+#include "common_audio/vad/vad_gmm.h"
+
+#include "common_audio/signal_processing/include/signal_processing_library.h"
+
+static const int32_t kCompVar = 22005;
+static const int16_t kLog2Exp = 5909;  // log2(exp(1)) in Q12.
+
+// For a normal distribution, the probability of `input` is calculated and
+// returned (in Q20). The formula for normal distributed probability is
+//
+// 1 / s * exp(-(x - m)^2 / (2 * s^2))
+//
+// where the parameters are given in the following Q domains:
+// m = `mean` (Q7)
+// s = `std` (Q7)
+// x = `input` (Q4)
+// in addition to the probability we output `delta` (in Q11) used when updating
+// the noise/speech model.
+int32_t WebRtcVad_GaussianProbability(int16_t input,
+                                      int16_t mean,
+                                      int16_t std,
+                                      int16_t* delta) {
+  int16_t tmp16, inv_std, inv_std2, exp_value = 0;
+  int32_t tmp32;
+
+  // Calculate `inv_std` = 1 / s, in Q10.
+  // 131072 = 1 in Q17, and (`std` >> 1) is for rounding instead of truncation.
+  // Q-domain: Q17 / Q7 = Q10.
+  tmp32 = (int32_t) 131072 + (int32_t) (std >> 1);
+  inv_std = (int16_t) WebRtcSpl_DivW32W16(tmp32, std);
+
+  // Calculate `inv_std2` = 1 / s^2, in Q14.
+  tmp16 = (inv_std >> 2);  // Q10 -> Q8.
+  // Q-domain: (Q8 * Q8) >> 2 = Q14.
+  inv_std2 = (int16_t)((tmp16 * tmp16) >> 2);
+  // TODO(bjornv): Investigate if changing to
+  // inv_std2 = (int16_t)((inv_std * inv_std) >> 6);
+  // gives better accuracy.
+
+  tmp16 = (input << 3);  // Q4 -> Q7
+  tmp16 = tmp16 - mean;  // Q7 - Q7 = Q7
+
+  // To be used later, when updating noise/speech model.
+  // `delta` = (x - m) / s^2, in Q11.
+  // Q-domain: (Q14 * Q7) >> 10 = Q11.
+  *delta = (int16_t)((inv_std2 * tmp16) >> 10);
+
+  // Calculate the exponent `tmp32` = (x - m)^2 / (2 * s^2), in Q10. Replacing
+  // division by two with one shift.
+  // Q-domain: (Q11 * Q7) >> 8 = Q10.
+  tmp32 = (*delta * tmp16) >> 9;
+
+  // If the exponent is small enough to give a non-zero probability we calculate
+  // `exp_value` ~= exp(-(x - m)^2 / (2 * s^2))
+  //             ~= exp2(-log2(exp(1)) * `tmp32`).
+  if (tmp32 < kCompVar) {
+    // Calculate `tmp16` = log2(exp(1)) * `tmp32`, in Q10.
+    // Q-domain: (Q12 * Q10) >> 12 = Q10.
+    tmp16 = (int16_t)((kLog2Exp * tmp32) >> 12);
+    tmp16 = -tmp16;
+    exp_value = (0x0400 | (tmp16 & 0x03FF));
+    tmp16 ^= 0xFFFF;
+    tmp16 >>= 10;
+    tmp16 += 1;
+    // Get `exp_value` = exp(-`tmp32`) in Q10.
+    exp_value >>= tmp16;
+  }
+
+  // Calculate and return (1 / s) * exp(-(x - m)^2 / (2 * s^2)), in Q20.
+  // Q-domain: Q10 * Q10 = Q20.
+  return inv_std * exp_value;
+}