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# Copyright 2018 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import("//testing/test.gni")
group("rnnoise") {
deps = [ ":rnn_vad" ]
}
source_set("rnn_vad") {
sources = [
"src/rnn_activations.h",
"src/rnn_vad_weights.cc",
"src/rnn_vad_weights.h",
]
}

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Copyright (c) 2017, Mozilla
Copyright (c) 2007-2017, Jean-Marc Valin
Copyright (c) 2005-2017, Xiph.Org Foundation
Copyright (c) 2003-2004, Mark Borgerding
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:
- Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
- Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
- Neither the name of the Xiph.Org Foundation nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE FOUNDATION
OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

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alessiob@chromium.org
aleloi@chromium.org
# COMPONENT: Tools

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Name: Recurrent neural network for audio noise reduction
Short Name: rnnoise
URL: https://github.com/xiph/rnnoise
Version: 91ef401
Date: Oct 10, 2017
Revision:
License: BSD 3-Clause
License File: COPYING
Security Critical: no
License Android Compatible:
Description:
RNNoise is a noise suppression library based on a recurrent neural network.
The library is used for speech processing in WebRTC.
Local Modifications:
* Only retaining COPYING and from src/ the following files:
- kiss_fft.c, kiss_fft.h
- rnn.c
- rnn_data.c
- tansig_table.h
* KissFFT: non-floating point parts removed, code clean, from C to C++,
class wrapper added
* BUILD targets and KissFFT unit tests added
* rnn_vad_weights.h: output layer sizes + weights scaling factor
* removing unwanted extern from constants in rnn_vad_weights.h and using
constants to declare array sizes
* Add braces around arrays in unit test.
* KissFFT removed

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/* Copyright (c) 2008-2011 Octasic Inc.
2012-2017 Jean-Marc Valin */
/*
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:
- Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
- Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE FOUNDATION OR
CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#ifndef THIRD_PARTY_RNNOISE_SRC_RNN_ACTIVATIONS_H_
#define THIRD_PARTY_RNNOISE_SRC_RNN_ACTIVATIONS_H_
#include <cmath>
namespace rnnoise {
inline float TansigApproximated(float x) {
static constexpr float kTansigTable[201] = {
0.000000f, 0.039979f, 0.079830f, 0.119427f, 0.158649f, 0.197375f,
0.235496f, 0.272905f, 0.309507f, 0.345214f, 0.379949f, 0.413644f,
0.446244f, 0.477700f, 0.507977f, 0.537050f, 0.564900f, 0.591519f,
0.616909f, 0.641077f, 0.664037f, 0.685809f, 0.706419f, 0.725897f,
0.744277f, 0.761594f, 0.777888f, 0.793199f, 0.807569f, 0.821040f,
0.833655f, 0.845456f, 0.856485f, 0.866784f, 0.876393f, 0.885352f,
0.893698f, 0.901468f, 0.908698f, 0.915420f, 0.921669f, 0.927473f,
0.932862f, 0.937863f, 0.942503f, 0.946806f, 0.950795f, 0.954492f,
0.957917f, 0.961090f, 0.964028f, 0.966747f, 0.969265f, 0.971594f,
0.973749f, 0.975743f, 0.977587f, 0.979293f, 0.980869f, 0.982327f,
0.983675f, 0.984921f, 0.986072f, 0.987136f, 0.988119f, 0.989027f,
0.989867f, 0.990642f, 0.991359f, 0.992020f, 0.992631f, 0.993196f,
0.993718f, 0.994199f, 0.994644f, 0.995055f, 0.995434f, 0.995784f,
0.996108f, 0.996407f, 0.996682f, 0.996937f, 0.997172f, 0.997389f,
0.997590f, 0.997775f, 0.997946f, 0.998104f, 0.998249f, 0.998384f,
0.998508f, 0.998623f, 0.998728f, 0.998826f, 0.998916f, 0.999000f,
0.999076f, 0.999147f, 0.999213f, 0.999273f, 0.999329f, 0.999381f,
0.999428f, 0.999472f, 0.999513f, 0.999550f, 0.999585f, 0.999617f,
0.999646f, 0.999673f, 0.999699f, 0.999722f, 0.999743f, 0.999763f,
0.999781f, 0.999798f, 0.999813f, 0.999828f, 0.999841f, 0.999853f,
0.999865f, 0.999875f, 0.999885f, 0.999893f, 0.999902f, 0.999909f,
0.999916f, 0.999923f, 0.999929f, 0.999934f, 0.999939f, 0.999944f,
0.999948f, 0.999952f, 0.999956f, 0.999959f, 0.999962f, 0.999965f,
0.999968f, 0.999970f, 0.999973f, 0.999975f, 0.999977f, 0.999978f,
0.999980f, 0.999982f, 0.999983f, 0.999984f, 0.999986f, 0.999987f,
0.999988f, 0.999989f, 0.999990f, 0.999990f, 0.999991f, 0.999992f,
0.999992f, 0.999993f, 0.999994f, 0.999994f, 0.999994f, 0.999995f,
0.999995f, 0.999996f, 0.999996f, 0.999996f, 0.999997f, 0.999997f,
0.999997f, 0.999997f, 0.999997f, 0.999998f, 0.999998f, 0.999998f,
0.999998f, 0.999998f, 0.999998f, 0.999999f, 0.999999f, 0.999999f,
0.999999f, 0.999999f, 0.999999f, 0.999999f, 0.999999f, 0.999999f,
0.999999f, 0.999999f, 0.999999f, 0.999999f, 1.000000f, 1.000000f,
1.000000f, 1.000000f, 1.000000f, 1.000000f, 1.000000f, 1.000000f,
1.000000f, 1.000000f, 1.000000f,
};
// Tests are reversed to catch NaNs.
if (!(x < 8.f))
return 1.f;
if (!(x > -8.f))
return -1.f;
float sign = 1.f;
if (x < 0.f) {
x = -x;
sign = -1.f;
}
// Look-up.
int i = static_cast<int>(std::floor(0.5f + 25 * x));
float y = kTansigTable[i];
// Map i back to x's scale (undo 25 factor).
x -= 0.04f * i;
y = y + x * (1.f - y * y) * (1.f - y * x);
return sign * y;
}
inline float SigmoidApproximated(const float x) {
return 0.5f + 0.5f * TansigApproximated(0.5f * x);
}
inline float RectifiedLinearUnit(const float x) {
return x < 0.f ? 0.f : x;
}
} // namespace rnnoise
#endif // THIRD_PARTY_RNNOISE_SRC_RNN_ACTIVATIONS_H_

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#include "third_party/rnnoise/src/rnn_vad_weights.h"
namespace rnnoise {
const int8_t kInputDenseWeights[kInputLayerWeights] = {
-10, 0, -3, 1, -8, -6, 3, -13, 1, 0, -3, -7,
-5, -3, 6, -1, -6, 0, -6, -4, -1, -2, 1, 1,
-7, 2, 21, 10, -5, -20, 24, 23, 37, 8, -2, 33,
-6, 22, 13, -2, 50, 8, 13, 1, -15, 30, -10, 30,
0, 3, 5, 27, 1, 4, -3, 41, 56, 35, -2, 49,
-13, 11, 13, -2, -47, 5, -16, -60, -15, 77, -17, 26,
-3, 14, -21, 19, -5, -19, -13, 0, 10, 14, 9, 31,
-13, -41, -10, 4, 22, 18, -48, -6, -10, 62, -3, -18,
-14, 12, 26, -28, 3, 14, 25, -13, -19, 6, 5, 36,
-3, -65, -12, 0, 31, -7, -9, 101, -4, 26, 16, 17,
-12, -12, 14, -36, -3, 5, -15, 21, 2, 30, -3, 38,
-4, 1, -6, 7, -7, 14, 38, -22, -30, -3, -7, 3,
-39, -70, -126, 25, 34, 94, -67, -22, -33, 83, -47, -118,
4, 70, 33, 25, 62, -128, -76, -118, -113, 49, -12, -100,
-18, -114, -33, 43, 32, 61, 40, -9, -106, 2, 36, -100,
-40, -5, 20, -75, 61, -51, -9, 126, -27, -52, 5, -24,
-21, -126, -114, -12, 15, 106, -2, 73, -125, 50, 13, -120,
35, 35, 4, -61, 29, -124, 6, -53, -69, -125, 64, -89,
36, -107, -103, -7, 27, 121, 69, 77, -35, 35, 95, -125,
-49, 97, -45, -43, -23, 23, -28, -65, -118, 2, 8, -126,
27, -97, 92, 5, 55, 82, 17, -57, -115, 37, 8, -106,
-46, 41, -2, 21, -44, 8, -73, -58, -39, 34, 89, -95,
95, -117, 120, -58, 31, 123, 1, -32, -109, -110, 60, -120,
-43, -74, 5, 91, 26, 21, 114, 82, -83, -126, 123, 22,
-16, -67, 25, -83, 46, 48, -34, -121, -124, -63, -35, -9,
31, 82, 123, 6, -3, 117, 93, -2, -13, -36, 124, -112,
-6, -102, -5, -33, -15, 44, -69, -127, -23, -40, -34, -85,
68, 83, -1, 40, 8, 84, 118, -58, -55, -102, 123, -55,
-14, -123, 44, -63, -14, 21, 35, 16, 24, -126, -13, -114,
35, 20, -36, 61, -9, 97, 34, 19, -32, -109, 76, -104,
99, -119, 45, -125, -51, -28, -8, -69, -8, 125, -45, -93,
113, 103, -41, -82, 52, 7, 126, 0, -40, 104, 55, -58,
17, -124, -93, -58, 8, -45, 1, 56, -123, 108, -47, -23,
115, 127, 17, -68, -13, 116, -82, -44, 45, 67, -120, -101,
-15, -125, 120, -113, 17, -48, -73, 126, -64, -86, -118, -19,
112, -1, -66, -27, -62, 121, -86, -58, 50, 89, -38, -75,
95, -111, 12, -113, 2, -68, 2, -94, -121, 91, -5, 0,
79, 43, -7, -18, 79, 35, -38, 47, 1, -45, 83, -50,
102, 32, 55, -96, 15, -122, -69, 45, -27, 91, -62, -30,
46, -95, 22, -72, -97, -1, 14, -122, 28, 127, 61, -126,
121, 9, 68, -120, 49, -60, 90, 3, 43, 68, 54, 34,
-10, 28, 21, -24, -54, 22, -113, -12, 82, -2, -17, -9,
127, 8, 116, -92, 0, -70, -33, 123, 66, 116, -74, -4,
74, -72, -22, -47, 1, -83, -60, -124, 1, 122, -57, -43,
49, 40, -126, -128, -8, -29, 28, -24, -123, -121, -70, -93,
-37, -126, 11, -125, -37, 11, -31, -51, -124, 116, -128, 8,
-25, 109, 75, -12, 7, 8, 10, 117, 124, -128, -128, 29,
-26, 101, 21, -128, 87, 8, -39, 23, -128, 127, -127, 74,
-55, 74, 112, 127, 4, 55, 44, -92, 123, 34, -93, 47,
-21, -92, 17, 49, -121, 92, 7, -126, -125, 124, -74, 3,
-59, 18, -91, 3, -9, 9, 56, 116, 7, -29, 33, 87,
-21, -128, -13, 57, 74, 9, -29, -61, -97, -21, -95, -12,
-114, 16, 82, 125, -7, 10, -24, 9, 77, -128, -102, -25,
3, -126, 10, 13, -18, 51, 26, 127, -79, 35, 51, 12,
-50, -24, 1, -7, 22, 81, 65, 120, -30, -38, 85, 122,
-4, -106, -11, 27, 53, 41, 8, -104, -66, -38, -124, 10,
12, 76, 117, -109, 9, 11, 2, -18, 3, 113, -16, -79,
-39, -123, -20, -128, 2, 13, -33, -58, 10, 84, -104, 13,
64, 109, 1, 54, -12, 28, 24, 63, -126, 118, -82, 46,
-12, -15, 14, -43, 60, 22, -32, -19, -46, 91, -107, 24,
-94, 26, -47, 125, 6, 58, -15, -75, -26, -38, -35, 103,
-16, -17, -13, 63, -2, 45, -45, -73, -23, 70, -87, 51,
-17, 53, 76, 14, -18, -31, -14, 103, 8, 21, -28, -33,
-20, -47, 6, 39, 40, -30, 7, -76, 55, 31, -20, -21,
-59, 1, 25, -11, 17, 5, -13, -39, 0, -76, 50, -33,
-29, -50, -16, -11, -12, -1, -46, 40, -10, 65, -19, 21,
-41, -32, -83, -19, -4, 49, -60, 118, -24, -46, 9, 102,
-20, 8, -19, 25, 31, -3, -37, 0, 25, 7, 29, 2,
-39, 127, -64, -20, 64, 115, -30, 36, 100, 35, 122, 127,
127, -127, 127, -127, 19, 127, -89, -79, -32, 39, -127, 125,
-80, 126, -127, 26, 8, 98, -8, -57, -90, -50, 126, 61,
127, -126, 40, -106, -68, 104, -125, -119, 11, 10, -127, 66,
-56, -12, -126, -104, 27, 75, 38, -124, -126, -125, 84, -123,
-45, -114, -128, 127, 103, -101, -124, 127, -11, -23, -123, 92,
-123, 24, 126, 41, -2, -39, -27, -94, 40, -112, -48, 127,
58, 14, 38, -75, -64, 73, 117, 100, -119, -11, 6, 32,
-126, -14, 35, 121, -10, 54, -60, 89, -3, 69, -25, -20,
43, -86, -34, 24, 27, 7, -81, -99, -23, -16, -26, 13,
35, -97, 80, -29, -13, -121, -12, -65, -94, 70, -89, -126,
-95, 88, 33, 96, 29, -90, 69, 114, -78, 65, 90, -47,
-47, 89, 1, -12, 3, 8, 30, 5, 2, -30, -1, 6,
-7, 10, -4, 46, -27, -40, 22, -6, -17, 45, 24, -9,
23, -14, -63, -26, -12, -57, 27, 25, 55, -76, -47, 21,
34, 33, 26, 17, 14, 6, 9, 26, 25, -25, -25, -18};
const int8_t kInputDenseBias[kInputLayerOutputSize] = {
38, -6, 127, 127, 127, -43, -127, 78, 127, 5, 127, 123,
127, 127, -128, -76, -126, 28, 127, 125, -30, 127, -89, -20};
const int8_t kHiddenGruWeights[kHiddenLayerWeights] = {
-124, 23, -123, -33, -95, -4, 8, -84, 4, 101, -119, 116,
-4, 123, 103, -51, 29, -124, -114, -49, 31, 9, 75, -128,
0, -49, 37, -50, 46, -21, -63, -104, 54, 82, 33, 21,
70, 127, -9, -79, -39, -23, -127, 107, 122, -96, -46, -18,
-39, 13, -28, -48, 14, 56, -52, 49, -1, -121, 25, -18,
-36, -52, -57, -30, 54, -124, -26, -47, 10, 39, 12, 2,
9, -127, -128, 102, 21, 11, -64, -71, 89, -113, -111, 54,
31, 94, 121, -40, 30, 40, -109, 73, -9, 108, -92, 2,
-127, 116, 127, 127, -122, 95, 127, -37, -127, 28, 89, 10,
24, -104, -62, -67, -14, 38, 14, -71, 22, -41, 20, -50,
39, 63, 86, 127, -18, 79, 4, -51, 2, 33, 117, -113,
-78, 56, -91, 37, 34, -45, -44, -22, 21, -16, 56, 30,
-84, -79, 38, -74, 127, 9, -25, 2, 82, 61, 25, -26,
26, 11, 117, -65, 12, -58, 42, -62, -93, 11, 11, 124,
-123, 80, -125, 11, -90, 42, 94, 4, -109, -1, 85, -52,
45, -26, -27, 77, -5, 30, 90, 0, 95, -7, 53, 29,
-82, 22, -9, 74, 2, -12, -73, 114, 97, -64, 122, -77,
43, 91, 86, 126, 106, 72, 90, -43, 46, 96, -51, 21,
22, 68, 22, 41, 79, 75, -46, -105, 23, -116, 127, -123,
102, 57, 85, 10, -29, 34, 125, 126, 124, 81, -15, 54,
96, -128, 39, -124, 103, 74, 126, 127, -50, -71, -122, -64,
93, -75, 71, 105, 122, 123, 126, 122, -127, 33, -63, -74,
124, -71, 33, 41, -56, 19, 6, 65, 41, 90, -116, -3,
-46, 75, -13, 98, -74, -42, 74, -95, -96, 81, 24, 32,
-19, -123, 74, 55, 109, 115, 0, 32, 33, 12, -20, 9,
127, 127, -61, 79, -48, -54, -49, 101, -9, 27, -106, 74,
119, 77, 87, -126, -24, 127, 124, 31, 34, 127, 40, 3,
-90, 127, 23, 57, -53, 127, -69, -88, -33, 127, 19, -46,
-9, -125, 13, -126, -113, 127, -41, 46, 106, -62, 3, -10,
111, 49, -34, -24, -20, -112, 11, 101, -50, -34, 50, 65,
-64, -106, 70, -48, 60, 9, -122, -45, 15, -112, -26, -4,
1, 39, 23, 58, -45, -80, 127, 82, 58, 30, -94, -119,
51, -89, 95, -107, 30, 127, 125, 58, -52, -42, -38, -20,
-122, 115, 39, -26, 5, 73, 13, -39, 43, -23, -20, -125,
23, 35, 53, -61, -66, 72, -20, 33, 8, 35, 4, 7,
18, 19, 16, -45, -50, -71, 31, -29, -41, -27, 10, 14,
27, 9, -23, 98, 6, -94, 92, 127, -114, 59, -26, -100,
-62, -127, -17, -85, -60, 126, -42, -6, 33, -120, -26, -126,
-127, -35, -114, -31, 25, -126, -100, -126, -64, -46, -31, 30,
25, -74, -111, -97, -81, -104, -114, -19, -9, -116, -69, 22,
30, 59, 8, -51, 16, -97, 18, -4, -89, 80, -50, 3,
36, -67, 56, 69, -26, 107, -10, 58, -28, -4, -57, -72,
-111, 0, -75, -119, 14, -75, -49, -66, -49, 8, -121, 22,
-54, 121, 30, 54, -26, -126, -123, 56, 5, 48, 21, -127,
-11, 23, 25, -82, 6, -25, 119, 78, 4, -104, 27, 61,
-48, 37, -13, -52, 50, -50, 44, -1, -22, -43, -59, -78,
-67, -32, -26, 9, -3, 40, 16, 19, 3, -9, 20, -6,
-37, 28, 39, 17, -19, -10, 1, 6, -59, 74, 47, 3,
-119, 0, -128, -107, -25, -22, -69, -23, -111, -42, -93, -120,
90, -85, -54, -118, 76, -79, 124, 101, -77, -75, -17, -71,
-114, 68, 55, 79, -1, -123, -20, 127, -65, -123, -128, -87,
123, 9, -115, -14, 7, -4, 127, -79, -115, 125, -28, 89,
-83, 49, 89, 119, -69, -5, 12, -49, 60, 57, -24, -99,
-110, 76, -83, 125, 73, 81, 11, 8, -45, 1, 83, 13,
-70, -2, 97, 112, -97, 53, -9, -94, 124, 44, -49, -24,
52, 76, -110, -70, -114, -12, 72, -4, -114, 43, -43, 81,
102, -84, -27, 62, -40, 52, 58, 124, -35, -51, -123, -43,
56, -75, -34, -35, -106, 93, -43, 14, -16, 46, 62, -97,
21, 30, -53, 21, -11, -33, -20, -95, 4, -126, 12, 45,
20, 108, 85, 11, 20, -40, 99, 4, -25, -18, -23, -12,
-126, -55, -20, -44, -51, 91, -127, 127, -44, 7, 127, 78,
38, 125, -6, -94, -103, 73, 126, -126, 18, 59, -46, 106,
76, 116, -31, 75, -4, 92, 102, 32, -31, 73, 42, -21,
-28, 57, 127, -8, -107, 115, 124, -94, -4, -128, 29, -57,
70, -82, 50, -13, -44, 38, 67, -93, 6, -39, -46, 56,
68, 27, 61, 26, 18, -72, 127, 22, 18, -31, 127, 61,
-65, -38, 1, -67, -1, 8, -73, 46, -116, -94, 58, -49,
71, -40, -63, -82, -20, -60, 93, 76, 69, -106, 34, -31,
4, -25, 107, -18, 45, 4, -61, 126, 54, -126, -125, 41,
19, 44, 32, -98, 125, -24, 125, -96, -125, 15, 87, -4,
-90, 18, -40, 28, -69, 67, 22, 41, 39, 7, -48, -44,
12, 69, -13, 2, 44, -38, 111, -7, -126, -22, -9, 74,
-128, -36, -7, -123, -15, -79, -91, -37, -127, -122, 104, 30,
7, 98, -37, 111, -116, -47, 127, -45, 118, -111, -123, -120,
-77, -64, -125, 124, 77, 111, 77, 18, -113, 117, -9, 67,
-77, 126, 49, -20, -124, 39, 41, -124, -34, 114, -87, -126,
98, -20, 59, -17, -24, 125, 107, 54, 35, 33, -44, 12,
-29, 125, -71, -28, -63, -114, 28, -17, 121, -36, 127, 89,
-122, -49, -18, -48, 17, 24, 19, -64, -128, 13, 86, 45,
13, -49, 55, 84, 48, 80, -39, 99, -127, 70, -33, 30,
50, 126, -65, -117, -13, -20, -24, 127, 115, -72, -104, 63,
126, -42, 57, 17, 46, 21, 119, 110, -100, -60, -112, 62,
-33, 28, 26, -22, -60, -33, -54, 78, 25, 32, -114, 86,
44, 26, 43, 76, 121, 19, 97, -2, -3, -73, -68, 6,
-116, 6, -43, -97, 46, -128, -120, -31, -119, -29, 16, 16,
-126, -128, -126, -46, -9, -3, 92, -31, -76, -126, -3, -107,
-12, -23, -69, 5, 51, 27, -42, 23, -70, -128, -29, 22,
29, -126, -55, 50, -71, -3, 127, 44, -27, -70, -63, -66,
-70, 104, 86, 115, 29, -92, 41, -90, 44, -11, -28, 20,
-11, -63, -16, 43, 31, 17, -73, -31, -1, -17, -11, -39,
56, 18, 124, 72, -14, 28, 69, -121, -125, 34, 127, 63,
86, -80, -126, -125, -124, -47, 124, 77, 124, -19, 23, -7,
-50, 96, -128, -93, 102, -53, -36, -87, 119, -125, 92, -126,
118, 102, 72, -2, 125, 10, 97, 124, -125, 125, 71, -20,
-47, -116, -121, -4, -9, -32, 79, -124, -36, 33, -128, -74,
125, 23, 127, -29, -115, -32, 124, -89, 32, -107, 43, -17,
24, 24, 18, 29, -13, -15, -36, 62, -91, 4, -41, 95,
28, -23, 6, 46, 84, 66, 77, 68, -70, -1, -23, -6,
65, 70, -21, 9, 77, -12, 2, -118, 4, 9, -108, 84,
52, 2, 52, 13, -10, 58, -110, 18, 66, -95, -23, 70,
31, -3, 56, 56, -3, -7, 1, -27, -48, -61, 41, -4,
10, -62, 32, -7, -24, 9, -48, -60, -4, 79, -20, -38,
-76, 68, -49, -97, 0, -15, 5, -100, -49, -95, -99, -115,
-9, -40, 10, 104, 13, 56, 127, -27, -109, -94, -118, -102,
-44, -85, 52, 127, -4, 14, 62, 121, -122, -26, -79, -42,
-34, 1, 25, -38, -79, -58, -31, -31, -90, -30, -123, 32,
-56, 125, 66, 124, -1, 3, 91, -103, -7, 23, 78, -18,
9, 69, -69, 76, -38, -33, -2, -98, 18, 106, 84, 55,
87, -47, 35, -124, 64, 41, -14, 46, 25, -2, 120, -21,
82, 19, -79, -37, -3, -8, -16, 21, 19, -5, -28, -112,
39, -6, -30, 53, -69, 53, 46, 127, 123, 78, 20, 28,
-7, 73, 72, 17, -40, 41, 111, 57, 32, -95, 29, 28,
-39, -65, 54, -20, -63, 29, -67, 3, 44, -57, -47, 11,
61, -22, -44, 61, 48, -100, 20, 125, 96, -24, -16, 3,
-69, -126, 74, -125, 9, 45, -67, -123, -59, -72, 118, 69,
45, 50, -57, 67, 13, -66, -106, 47, 62, 22, -1, -22,
-25, -40, -125, 3, 125, 32, 102, -56, -25, -75, -30, 122,
60, -13, 36, -73, 7, -84, 124, 40, -118, 17, -87, -118,
-8, 3, -27, 111, -40, 40, -51, 127, 125, -45, -30, -54,
46, 80, -1, -30, 101, -17, 18, 26, 54, 7, -12, 1,
-127, 123, -122, -27, -75, 64, 10, 25, -15, -44, 127, -127,
5, -84, -81, -7, 19, -26, 126, 15, 116, -126, 14, -76,
44, 62, -110, -124, 125, -29, -87, -3, -69, 82, 90, 57,
-123, 123, 100, -19, -51, -32, 69, 37, -57, -128, -124, -72,
-13, 51, -7, -45, -73, 5, 99, -26, -117, -96, -109, 4,
-31, -12, 0, 31, -42, -27, 12, -81, 118, 39, 83, 14,
41, -126, 107, -82, 94, -116, -122, -47, -109, -84, -128, -35,
-56, 66, 8, -65, 19, 42, -46, -72, -109, 41, 43, -127,
-113, 58, 127, 42, -75, -1, 65, 117, -55, -113, -123, 124,
43, -96, -115, -19, 68, 15, 94, 3, 75, 0, 34, 9,
42, 110, -48, 92, -76, 99, -17, 27, 32, 13, 125, 50,
-17, 56, 4, 53, 34, -8, 99, 80, -126, -21, -65, -11,
-46, 44, -81, -3, -121, 123, 66, -81, -84, 119, 127, 84,
105, 45, -66, -42, -23, 32, -25, 12, 111, 127, 88, 125,
30, 24, -127, -9, -54, 127, -116, -119, 88, 70, 94, -120,
35, -93, 15, 22, -21, 25, -110, -123, -45, 8, -109, 125,
-122, -86, -126, 8, -14, -120, -45, -45, 69, -125, -122, 6,
81, 86, 125, 95, 54, 77, 54, -123, 126, -85, -117, 56,
11, 0, -61, -91, -12, -2, -113, -3, -15, -122, -63, -91,
10, 84, -111, 125, 93, 21, 62, -78, -116, 13, -57, 28,
-124, 126, 110, 12, 15, 95, 15, -19, -125, -97, 52, -7,
101, 9, 20, -125, -26, -56, 72, 77, 12, -126, 22, -29,
47, 62, 95, 112, 69, 32, 97, -83, -8, -5, 67, -63,
-123, 79, 59, 0, -6, -17, 4, -111, -52, 27, 65, 0};
const int8_t kHiddenGruRecurrentWeights[kHiddenLayerWeights] = {
65, 83, 35, 56, 24, -34, -28, -2, 125, 19, 42, -9,
124, -53, 24, -87, 11, 35, -81, -35, -125, -31, 123, -21,
33, -91, 113, -93, 45, -6, 53, 38, -92, 8, -27, 87,
4, 43, 43, 10, -128, -128, -46, 127, -38, -45, 25, -87,
19, 5, 52, -96, -23, -29, 121, -126, -24, -20, -2, 69,
-50, 6, 71, -81, -125, 90, -94, 1, -38, 36, 89, 17,
-60, 71, -48, 18, -15, 44, -18, 59, 11, 114, -51, 32,
110, 1, 4, 109, -24, 127, 27, 60, 88, 24, 45, -59,
75, -36, 8, 57, -32, -25, 13, 126, -89, -61, -76, 127,
18, -62, -68, 23, -113, 5, 126, 43, -88, 26, -78, 18,
75, 21, 9, -74, 20, 41, 126, -118, -15, 9, 116, 126,
-127, 34, -6, 126, -128, -53, -54, -55, -121, 70, 127, -12,
-68, 82, -25, 104, -126, 126, -21, -26, 124, -75, -127, -120,
13, 61, -64, -108, -63, -65, -44, -35, -61, -39, 109, -74,
113, -3, 108, -30, 125, 120, 39, 125, -128, -95, -99, 111,
9, 25, 114, -75, -92, -54, -12, -32, -38, 10, 31, 10,
63, 51, 40, -99, 74, 4, 50, -128, -36, -35, -11, -28,
-126, -7, 66, -58, -126, -22, -83, -61, -127, 49, 126, -8,
7, 62, 36, -11, -32, -44, 63, 116, 41, 65, -127, 126,
63, -30, -96, 74, -92, 127, 38, -18, -128, 68, -5, 101,
-4, 85, 58, 79, 0, -58, 8, 119, -70, -1, -79, -68,
114, -28, -90, -6, -112, 2, 127, -8, 10, 55, -59, -126,
127, 125, 80, 72, 35, -54, 95, -124, -124, 79, 23, -46,
-61, -127, -100, 99, -77, 8, -87, 5, -2, 49, 85, 7,
-71, 82, 53, -41, 22, -22, -93, -103, 6, 52, -56, 14,
-8, -111, 85, 16, 54, 32, -118, -24, 61, -53, 96, -70,
-5, -17, -67, -84, -7, -82, -107, -96, 21, -83, -58, 50,
12, -126, -1, -28, 34, -126, 115, 17, 91, 1, -127, 72,
11, 126, -81, 6, 96, -8, 77, 15, -6, 63, -27, 20,
-123, -109, 85, -79, -17, 126, -92, 2, -61, 20, 14, 17,
121, 123, 30, 57, 120, 127, 57, 42, 117, 98, 67, 39,
-20, -70, 100, 7, 125, 122, 40, 16, -79, 125, 83, 41,
-106, -57, 24, 55, 27, -66, -111, -44, -7, -43, -66, 121,
42, -128, -45, 35, 15, -127, 34, -35, -34, -40, -18, -6,
63, 111, 31, 116, 127, 19, 24, -71, -39, 34, 11, 19,
-40, 27, 12, 106, -10, 56, -82, -106, -2, -50, -52, 114,
-126, -34, -43, -68, 10, 76, 57, -118, -128, 37, -104, 76,
125, 3, -76, 127, -29, 84, -94, -15, 55, 125, 79, 127,
-57, -125, 104, -68, 126, 126, -77, 51, 45, 33, -109, 115,
-11, 1, 95, -121, -5, -9, -126, -114, 39, 68, -126, -107,
-51, -42, 24, -8, 51, -27, -43, 66, -45, 62, -98, -109,
69, 67, 0, -125, -128, 49, 31, 126, -122, 2, -55, -67,
-126, -70, -128, -125, -77, 25, 16, -8, -102, 11, -75, 82,
38, -5, 5, 19, 34, 47, -127, -93, 21, 24, -97, -18,
31, 39, 34, -20, 22, 123, 7, -77, -81, -46, -9, 1,
23, 39, -127, -43, -8, -50, 10, -21, 59, -9, -4, -13,
-27, 44, 127, 52, -47, 70, -43, 52, 101, -49, 27, 45,
49, 33, -125, 55, 114, 20, -1, 76, -24, -96, 105, 24,
126, 75, -21, -105, 13, -42, 40, 126, -30, -39, -95, 125,
-63, 11, 6, 125, 125, -14, 5, 42, -61, -4, 49, 88,
6, -107, -28, 19, -29, 47, 126, 6, -46, -89, -18, 91,
-20, -6, 118, -21, -22, 39, 115, 11, -42, 54, 73, -55,
-77, 62, -27, -59, -99, -12, -127, -40, 56, -3, -124, -91,
71, -111, 6, -19, 82, -24, -35, 102, -42, 7, -126, -126,
-125, 18, 98, -52, 127, 105, -52, 40, -83, 126, -122, 109,
5, 127, 48, 6, 5, -125, 100, -16, 29, 85, -89, 8,
4, 41, 62, -127, 62, 122, 85, 122, -107, 8, -125, 93,
-127, 127, 102, 19, 19, -66, 41, -42, 114, 127, -48, -117,
-29, -6, -73, -102, -3, -19, 0, 88, 42, 87, -117, -20,
2, 122, 28, 63, 71, 66, 120, 93, 124, -43, 49, 103,
31, 90, -91, -22, -126, 26, -24, -21, 51, -126, 87, -103,
-69, -10, -66, -23, 20, 97, 36, 25, -127, 30, -20, -63,
30, 51, -116, 23, 40, -39, 36, -83, -77, -25, -50, 110,
14, 13, -109, 125, -65, -55, -87, 124, -126, -32, -72, -108,
127, 127, -125, -124, 61, 121, 102, -128, -127, 16, 100, 127,
-124, -68, 72, -93, -128, 43, -93, -19, -125, -97, -113, -33,
83, 127, -44, 127, -75, 127, 16, 44, 50, -122, 23, 118,
46, 19, 26, -128, 10, 4, 99, -14, -82, -13, 30, 125,
57, 65, 60, -71, 35, 98, 28, 7, 1, 43, 89, 70,
75, 121, -59, 82, -126, -53, -16, -116, -65, 52, -52, 0,
80, 35, 45, -61, 46, 8, 107, 27, -26, -118, 90, 57,
-10, 7, -15, 0, -39, -4, 12, 29, -1, 116, 84, 79,
119, 125, -59, 28, -6, -25, -43, 2, 90, 79, 67, 103,
-82, 2, -6, 125, 19, 73, 0, -105, 112, -17, 104, 107,
124, 106, 19, 56, -44, 55, -112, 6, -39, -83, 126, -93,
-98, 57, -120, -23, -38, 2, -31, -48, 106, 127, 127, 69,
16, 110, 71, 104, 62, -12, -22, 42, -37, -94, 34, -1,
-32, -12, -124, -47, -13, 60, -75, -66, 58, -127, -2, 64,
76, -106, 73, -49, -31, 127, 126, 31, 16, 127, -110, 107,
-16, -53, 20, 69, -14, -125, 59, -44, 15, 120, 125, 125,
43, 6, 19, -58, 127, 127, 43, 16, 82, 97, -127, 127,
-93, -41, 88, 0, 77, -15, 116, 16, -124, -31, -3, 95,
-40, -126, -54, -126, -83, -8, -59, 6, 67, -29, 4, 124,
-10, 112, -28, -8, 85, -21, 45, 84, 6, -8, 11, 72,
32, 84, -62, 77, 2, -36, 75, 31, -50, 116, 126, 119,
-88, -55, -14, -37, 126, 40, -108, -6, -6, 57, 64, -28,
-76, 30, -117, -93, 31, -92, -44, -64, 94, 58, 65, 114,
41, 47, 71, 42, -26, 99, -126, 57, -5, 74, -19, -113,
-1, 67, -21, 126, 1, -3, 33, 60, -82, 37, -48, 89,
114, -38, 127, -114, 35, 58, -5, 21, -46, 121, -123, -43,
127, 115, 123, 122, -101, 126, 127, 81, 52, 89, -127, 102,
42, 117, -9, -2, 125, 127, 110, 96, 120, 66, 70, 124,
55, 84, -38, -58, 119, -127, -16, -79, 123, 18, -127, -50,
-38, 120, -85, 1, 7, -56, 108, -77, -2, 21, 37, 1,
13, -105, -69, 28, -87, 33, -104, -51, 126, 41, 3, -121,
28, 71, 58, 86, -8, 127, 94, -55, 125, 40, -19, 127,
-33, -87, -23, 7, -111, -68, 9, 84, -119, 55, -82, 78,
-37, -20, -9, -23, 53, -13, 15, -46, 116, 126, -127, 56,
-126, 125, -7, -1, 45, 26, 125, 121, 29, 47, -86, 30,
10, 76, -125, -7, 23, 92, -12, -39, -18, 92, -97, -8,
-85, -41, 49, -50, 123, -37, -126, -30, 14, 79, -49, -65,
9, -36, -38, -96, 85, -24, -13, 37, -25, -5, -64, -127,
55, -60, -18, -61, -63, 127, 56, 67, 15, 124, 72, 120,
127, 40, -10, 114, 24, -23, 46, 78, -53, 125, 86, 124,
86, 0, 38, 93, 21, 127, 123, 75, -72, 13, 48, 33,
83, -51, 15, -32, -49, -33, 120, 64, 7, 9, 65, 60,
21, -21, -61, -53, -113, 84, -97, 101, 37, -114, -27, 41,
73, 126, -10, 59, 61, -15, 70, -13, 82, -4, 69, 56,
94, -91, -50, 92, -74, -48, 53, -7, -107, 127, 28, 30,
-26, -21, -61, 77, 82, 64, -91, -125, 122, -104, 127, 123,
122, 123, 76, -126, 127, -6, -80, 7, 40, -66, -65, 54,
-2, 23, 96, -64, 74, 2, -53, -12, -123, 39, 60, -20,
16, -17, -97, 23, -4, -53, -122, 32, -16, -54, -95, 43,
71, -1, -67, -33, 41, 18, 72, 28, -83, 31, -100, -91,
-27, 10, -128, -106, 2, 76, -13, 42, 34, 112, -19, 44,
40, -9, -11, 65, 92, -43, -125, 2, 47, -32, 25, 122,
-29, 12, 101, -8, -126, -23, 43, 7, 125, -20, -124, 82,
-2, 13, -73, -106, 115, 31, 116, -23, -44, -71, 84, 3,
47, 91, 127, 127, -15, 95, 7, 93, 5, 113, -50, 54,
11, 13, -127, 17, 72, 43, -23, 5, -70, 20, 15, -27,
99, 69, -109, -122, -94, 16, 127, 0, 116, 104, 45, 108,
-34, 87, 72, -14, 118, 46, 42, 109, -26, 95, 93, 127,
60, 127, -93, -54, -122, 34, -105, 56, 55, 103, 125, -71,
-50, 95, -72, 127, 107, 21, 73, 126, 61, 127, 127, 24,
-62, 90, 73, 90, -46, -78, -124, 72, 123, -42, 50, -107,
17, -32, -62, -89, 124, 1, 80, -2, 117, 119, -65, -127,
-95, -121, -52, 103, 66, 75, -3, -62, -127, 127, -74, 124,
79, 49, 40, 105, -67, -71, -70, 43, 127, 119, -4, 66,
43, 23, 91, -126, 15, 63, -119, 112, 103, 15, -99, 31,
-127, 69, 116, -46, -67, 2, -126, -29, 30, 30, -69, -98,
-47, -87, -70, -127, 23, -73, 30, -7, 94, -52, -65, 98,
-45, 97, 53, 23, -9, -22, -52, -47, 6, -1, -85, -15,
-61, -14, 68, 110, -10, -121, -25, -35, -15, -94, -123, 27,
75, 48, -66, -56, -44, 93, 109, 67, -36, 24, 70, -126,
8, -127, 126, 52, 11, -32, 120, -13, -26, -28, -125, 127,
106, -50, 124, 36, -126, -12, 0, -23, 76, -71, -126, -12,
-17, -82, 12, 124, 57, 33, 4, 77, -46, 71, -34, 72,
125, -128, 124, -24, -128, 75, -120, 69, -45, 55, 33, 127,
-33, 4, -105, -41, -59, -91, 123, 44, -127, 127, -67, 52,
25, -125, -65, 100, -25, 123, 6, 11, -123, -92, -33, 126,
-17, -4, 29, 33, 127, 96, 3, 87, -48, -18, -70, 123,
58, -127, -3, -52, -1, -36, -41, 127, 51, -52, -27, 46,
-83, 57, 9, 126, 127, 94, 79, -37, -127, -40, 67, 52,
82, -66, 122, -13, -73, 127, -8, -80, 46, -48, 4, -54};
const int8_t kHiddenGruBias[kHiddenLayerBiases] = {
124, 125, -57, -126, 53, 123, 127, -75, 68, 102, -2, 116,
124, 127, 124, 125, 126, 123, -16, 48, 125, 126, 78, 85,
11, 126, -30, -30, -64, -3, -105, -29, -17, 69, 63, 2,
-32, -10, -62, 113, -52, 112, -109, 112, 7, -40, 73, 53,
62, 6, -2, 0, 0, 100, -16, 26, -24, 56, 26, -10,
-33, 41, 70, 109, -29, 127, 34, -66, 49, 53, 27, 62};
const int8_t kOutputDenseWeights[kOutputLayerWeights] = {
127, 127, 127, 127, 127, 20, 127, -126, -126, -54, 14, 125,
-126, -126, 127, -125, -126, 127, -127, -127, -57, -30, 127, 80};
const int8_t kOutputDenseBias[kOutputLayerOutputSize] = {-50};
} // namespace rnnoise

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#ifndef THIRD_PARTY_RNNOISE_SRC_RNN_VAD_WEIGHTS_H_
#define THIRD_PARTY_RNNOISE_SRC_RNN_VAD_WEIGHTS_H_
#include <cstdint>
#include <cstring>
namespace rnnoise {
// Weights scaling factor.
const float kWeightsScale = 1.f / 256.f;
// Input layer (dense).
const size_t kInputLayerInputSize = 42;
const size_t kInputLayerOutputSize = 24;
const size_t kInputLayerWeights = kInputLayerInputSize * kInputLayerOutputSize;
extern const int8_t kInputDenseWeights[kInputLayerWeights];
extern const int8_t kInputDenseBias[kInputLayerOutputSize];
// Hidden layer (GRU).
const size_t kHiddenLayerOutputSize = 24;
const size_t kHiddenLayerWeights =
3 * kInputLayerOutputSize * kHiddenLayerOutputSize;
const size_t kHiddenLayerBiases = 3 * kHiddenLayerOutputSize;
extern const int8_t kHiddenGruWeights[kHiddenLayerWeights];
extern const int8_t kHiddenGruRecurrentWeights[kHiddenLayerWeights];
extern const int8_t kHiddenGruBias[kHiddenLayerBiases];
// Output layer (dense).
const size_t kOutputLayerOutputSize = 1;
const size_t kOutputLayerWeights =
kHiddenLayerOutputSize * kOutputLayerOutputSize;
extern const int8_t kOutputDenseWeights[kOutputLayerWeights];
extern const int8_t kOutputDenseBias[kOutputLayerOutputSize];
} // namespace rnnoise
#endif // THIRD_PARTY_RNNOISE_SRC_RNN_VAD_WEIGHTS_H_