Line data Source code
1 : /*
2 : * Copyright (c) 2011 The WebRTC project authors. All Rights Reserved.
3 : *
4 : * Use of this source code is governed by a BSD-style license
5 : * that can be found in the LICENSE file in the root of the source
6 : * tree. An additional intellectual property rights grant can be found
7 : * in the file PATENTS. All contributing project authors may
8 : * be found in the AUTHORS file in the root of the source tree.
9 : */
10 :
11 : #include "webrtc/common_audio/vad/vad_gmm.h"
12 :
13 : #include "webrtc/common_audio/signal_processing/include/signal_processing_library.h"
14 : #include "webrtc/typedefs.h"
15 :
16 : static const int32_t kCompVar = 22005;
17 : static const int16_t kLog2Exp = 5909; // log2(exp(1)) in Q12.
18 :
19 : // For a normal distribution, the probability of |input| is calculated and
20 : // returned (in Q20). The formula for normal distributed probability is
21 : //
22 : // 1 / s * exp(-(x - m)^2 / (2 * s^2))
23 : //
24 : // where the parameters are given in the following Q domains:
25 : // m = |mean| (Q7)
26 : // s = |std| (Q7)
27 : // x = |input| (Q4)
28 : // in addition to the probability we output |delta| (in Q11) used when updating
29 : // the noise/speech model.
30 0 : int32_t WebRtcVad_GaussianProbability(int16_t input,
31 : int16_t mean,
32 : int16_t std,
33 : int16_t* delta) {
34 0 : int16_t tmp16, inv_std, inv_std2, exp_value = 0;
35 : int32_t tmp32;
36 :
37 : // Calculate |inv_std| = 1 / s, in Q10.
38 : // 131072 = 1 in Q17, and (|std| >> 1) is for rounding instead of truncation.
39 : // Q-domain: Q17 / Q7 = Q10.
40 0 : tmp32 = (int32_t) 131072 + (int32_t) (std >> 1);
41 0 : inv_std = (int16_t) WebRtcSpl_DivW32W16(tmp32, std);
42 :
43 : // Calculate |inv_std2| = 1 / s^2, in Q14.
44 0 : tmp16 = (inv_std >> 2); // Q10 -> Q8.
45 : // Q-domain: (Q8 * Q8) >> 2 = Q14.
46 0 : inv_std2 = (int16_t)((tmp16 * tmp16) >> 2);
47 : // TODO(bjornv): Investigate if changing to
48 : // inv_std2 = (int16_t)((inv_std * inv_std) >> 6);
49 : // gives better accuracy.
50 :
51 0 : tmp16 = (input << 3); // Q4 -> Q7
52 0 : tmp16 = tmp16 - mean; // Q7 - Q7 = Q7
53 :
54 : // To be used later, when updating noise/speech model.
55 : // |delta| = (x - m) / s^2, in Q11.
56 : // Q-domain: (Q14 * Q7) >> 10 = Q11.
57 0 : *delta = (int16_t)((inv_std2 * tmp16) >> 10);
58 :
59 : // Calculate the exponent |tmp32| = (x - m)^2 / (2 * s^2), in Q10. Replacing
60 : // division by two with one shift.
61 : // Q-domain: (Q11 * Q7) >> 8 = Q10.
62 0 : tmp32 = (*delta * tmp16) >> 9;
63 :
64 : // If the exponent is small enough to give a non-zero probability we calculate
65 : // |exp_value| ~= exp(-(x - m)^2 / (2 * s^2))
66 : // ~= exp2(-log2(exp(1)) * |tmp32|).
67 0 : if (tmp32 < kCompVar) {
68 : // Calculate |tmp16| = log2(exp(1)) * |tmp32|, in Q10.
69 : // Q-domain: (Q12 * Q10) >> 12 = Q10.
70 0 : tmp16 = (int16_t)((kLog2Exp * tmp32) >> 12);
71 0 : tmp16 = -tmp16;
72 0 : exp_value = (0x0400 | (tmp16 & 0x03FF));
73 0 : tmp16 ^= 0xFFFF;
74 0 : tmp16 >>= 10;
75 0 : tmp16 += 1;
76 : // Get |exp_value| = exp(-|tmp32|) in Q10.
77 0 : exp_value >>= tmp16;
78 : }
79 :
80 : // Calculate and return (1 / s) * exp(-(x - m)^2 / (2 * s^2)), in Q20.
81 : // Q-domain: Q10 * Q10 = Q20.
82 0 : return inv_std * exp_value;
83 : }
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