// // Copyright © 2020 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // #include #include #include "Preprocess.hpp" #include "DataStructures.hpp" void PopulateTestWavVector(std::vector& vec) { constexpr int int16max = std::numeric_limits::max(); int val = 0; for (size_t i = 0; i < vec.size(); ++i, ++val) { /* We want a differential filter response from both - order 1 * and 2 => Don't have a linear signal here - we use a signal * using squares for example. Alternate sign flips might work * just as well and will be computationally less work! */ int valsq = val * val; if (valsq > int16max) { val = 0; valsq = 0; } vec[i] = valsq; } } TEST_CASE("Preprocessing calculation INT8") { /*Test Constants: */ const uint32_t windowLen = 512; const uint32_t windowStride = 160; const float quantScale = 0.1410219967365265; const int quantOffset = -11; int numMfccVectors = 10; const int sampFreq = 16000; const int frameLenMs = 32; const int frameLenSamples = sampFreq * frameLenMs * 0.001; const int numMfccFeats = 13; const int audioDataToPreProcess = 512 + ((numMfccVectors -1) * windowStride); int outputBufferSize = numMfccVectors * numMfccFeats * 3; /* Test wav memory */ std::vector testWav1((windowStride * numMfccVectors) + (windowLen - windowStride)); /* Populate with dummy input */ PopulateTestWavVector(testWav1); MfccParams mfccParams(sampFreq, 128, 0, 8000, numMfccFeats, frameLenSamples, false, numMfccVectors); MFCC mfccInst = MFCC(mfccParams); std::vector fullAudioData; for(int i = 0; i < 4; ++i) { for (auto f : testWav1) { fullAudioData.emplace_back(static_cast(f) / (1<<15)); } } Preprocess prep(frameLenSamples, windowStride, mfccInst); std::vector outputBuffer(outputBufferSize); prep.Invoke(fullAudioData.data(), audioDataToPreProcess, outputBuffer, quantOffset, quantScale); int8_t expectedResult[numMfccVectors][numMfccFeats*3] = { /* Feature vec 0 */ -32, 4, -9, -8, -10, -10, -11, -11, -11, -11, -12, -11, -11, /* MFCCs */ -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, /* Delta 1 */ -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, /* Delta 2 */ /* Feature vec 1 */ -31, 4, -9, -8, -10, -10, -11, -11, -11, -11, -12, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, /* Feature vec 2 */ -31, 4, -9, -9, -10, -10, -11, -11, -11, -11, -12, -12, -12, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, /* Feature vec 3 */ -31, 4, -9, -9, -10, -10, -11, -11, -11, -11, -11, -12, -12, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, /* Feature vec 4 : this should have valid delta 1 and delta 2 */ -31, 4, -9, -9, -10, -10, -11, -11, -11, -11, -11, -12, -12, -38, -29, -9, 1, -2, -7, -8, -8, -12, -16, -14, -5, 5, -68, -50, -13, 5, 0, -9, -9, -8, -13, -20, -19, -3, 15, /* Feature vec 5 : this should have valid delta 1 and delta 2 */ -31, 4, -9, -8, -10, -10, -11, -11, -11, -11, -11, -12, -12, -62, -45, -11, 5, 0, -8, -9, -8, -12, -19, -17, -3, 13, -27, -22, -13, -9, -11, -12, -12, -11, -11, -13, -13, -10, -6, /* Feature vec 6 */ -31, 4, -9, -8, -10, -10, -11, -11, -11, -11, -12, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, /* Feature vec 7 */ -32, 4, -9, -8, -10, -10, -11, -11, -11, -12, -12, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, /* Feature vec 8 */ -32, 4, -9, -8, -10, -10, -11, -11, -11, -12, -12, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, /* Feature vec 9 */ -31, 4, -9, -8, -10, -10, -11, -11, -11, -11, -12, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -11, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10 }; /* Check that the elements have been calculated correctly */ for (uint32_t j = 0; j < numMfccVectors; ++j) { for (uint32_t i = 0; i < numMfccFeats * 3; ++i) { size_t tensorIdx = (j * numMfccFeats * 3) + i; CHECK(static_cast(outputBuffer.at(tensorIdx) == static_cast(expectedResult[j][i]))); } } }