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Diffstat (limited to 'tests/use_case/asr/AsrFeaturesTests.cc')
| -rw-r--r-- | tests/use_case/asr/AsrFeaturesTests.cc | 188 |
1 files changed, 188 insertions, 0 deletions
diff --git a/tests/use_case/asr/AsrFeaturesTests.cc b/tests/use_case/asr/AsrFeaturesTests.cc new file mode 100644 index 0000000..9401f40 --- /dev/null +++ b/tests/use_case/asr/AsrFeaturesTests.cc @@ -0,0 +1,188 @@ +/* + * Copyright (c) 2021 Arm Limited. All rights reserved. + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +#include "DataStructures.hpp" +#include "AsrGoldenFeatures.hpp" +#include "hal.h" +#include "TensorFlowLiteMicro.hpp" +#include "Wav2LetterPreprocess.hpp" + +#include <catch.hpp> +#include <random> + +class TestPreprocess : public arm::app::audio::asr::Preprocess { +public: + TestPreprocess() + : arm::app::audio::asr::Preprocess(0,0,0,0) + {} + + bool ComputeDeltas(arm::app::Array2d<float>& mfcc, + arm::app::Array2d<float>& delta1, + arm::app::Array2d<float>& delta2) + { + return this->_ComputeDeltas(mfcc, delta1, delta2); + } + + float GetMean(arm::app::Array2d<float>& vec) + { + return this->_GetMean(vec); + } + + float GetStdDev(arm::app::Array2d<float>& vec, const float mean) + { + return this->_GetStdDev(vec, mean); + } + + void NormaliseVec(arm::app::Array2d<float>& vec) + { + return this->_NormaliseVec(vec); + } +}; + +template<class T> +void CheckOutputs(const std::vector<T> goldenOutput, std::vector<T> output) +{ + const size_t goldenSize = goldenOutput.size(); + const size_t realSize = output.size(); + + REQUIRE(realSize == goldenSize); + REQUIRE_THAT(output, Catch::Approx( goldenOutput ).margin(0.0001)); +} +template void CheckOutputs<float>(const std::vector<float> goldenOutput, std::vector<float> output); + +void populateBuffer(const float* input, size_t size, size_t numMfccFeats, std::vector<std::vector<float>>& buf) +{ + size_t time = 0; + for (size_t i = 0; i < size; ++i) { + if (i > 0 && i % numMfccFeats == 0) { + ++time; + } + float featureValue = *(input + i); + buf[i % numMfccFeats][time] = featureValue; + } +} + +void populateArray2dWithVectorOfVector(std::vector<std::vector<float>> vec, arm::app::Array2d<float>& buf) +{ + for (size_t i = 0; i < vec.size(); ++i) { + for (size_t j = 0; j < vec[i].size(); ++j) { + buf(i, j) = vec[i][j]; + } + } +} + +TEST_CASE("Floating point asr features calculation", "[ASR]") +{ + TestPreprocess tp; + + SECTION("First and second diff") + { + constexpr uint32_t numMfccFeats = 13; + constexpr uint32_t numFeatVectors = 296; + + arm::app::Array2d<float> mfccBuf(numMfccFeats, numFeatVectors); + arm::app::Array2d<float> delta1Buf(numMfccFeats, numFeatVectors); + arm::app::Array2d<float> delta2Buf(numMfccFeats, numFeatVectors); + + std::vector<std::vector<float>> goldenMfccBuf(numMfccFeats, std::vector<float>(numFeatVectors)); + std::vector<std::vector<float>> goldenDelta1Buf(numMfccFeats, std::vector<float>(numFeatVectors)); + std::vector<std::vector<float>> goldenDelta2Buf(numMfccFeats, std::vector<float>(numFeatVectors)); + + populateBuffer(golden_asr_mfcc, golden_asr_mfcc_len, numMfccFeats, goldenMfccBuf); + populateBuffer(golden_diff1_features, golden_diff1_len, numMfccFeats, goldenDelta1Buf); + populateBuffer(golden_diff2_features, golden_diff2_len, numMfccFeats, goldenDelta2Buf); + + populateArray2dWithVectorOfVector(goldenMfccBuf, mfccBuf); + std::fill(delta1Buf.begin(), delta1Buf.end(), 0.f); + std::fill(delta2Buf.begin(), delta2Buf.end(), 0.f); + + tp.ComputeDeltas(mfccBuf, delta1Buf, delta2Buf); + + /* First 4 and last 4 values are different because we pad AFTER diff calculated. */ + for (size_t i = 0; i < numMfccFeats; ++i) { + const float* start_goldenDelta1Buf = goldenDelta1Buf[i].data() + 4; + const float* start_delta1 = delta1Buf.begin() + i * delta1Buf.size(1) + 4; + std::vector<float> goldenDataDelta1(start_goldenDelta1Buf, start_goldenDelta1Buf + numFeatVectors - 8); + std::vector<float> tensorDataDelta1(start_delta1, start_delta1 + numFeatVectors - 8); + + CheckOutputs<float>(goldenDataDelta1,tensorDataDelta1); + + const float* start_goldenDelta2Buf = goldenDelta2Buf[i].data() + 4; + const float* start_delta2 = delta2Buf.begin() + i * delta2Buf.size(1) + 4; + std::vector<float> goldenDataDelta2(start_goldenDelta2Buf, start_goldenDelta2Buf + numFeatVectors - 8); + std::vector<float> tensorDataDelta2(start_delta2, start_delta2 + numFeatVectors - 8); + + CheckOutputs<float>(goldenDataDelta2,tensorDataDelta2); + } + + } + + SECTION("Mean") + { + std::vector<std::vector<float>> mean1vec{{1, 2}, + {-1, -2}}; + arm::app::Array2d<float> mean1(2,2); /* {{1, 2},{-1, -2}} */ + populateArray2dWithVectorOfVector(mean1vec, mean1); + REQUIRE(0 == Approx(tp.GetMean(mean1))); + + arm::app::Array2d<float> mean2(2, 2); + std::fill(mean2.begin(), mean2.end(), 0.f); + REQUIRE(0 == Approx(tp.GetMean(mean2))); + + arm::app::Array2d<float> mean3(3,3); + std::fill(mean3.begin(), mean3.end(), 1.f); + REQUIRE(1 == Approx(tp.GetMean(mean3))); + } + + SECTION("Std") + { + arm::app::Array2d<float> std1(2, 2); + std::fill(std1.begin(), std1.end(), 0.f); /* {{0, 0}, {0, 0}} */ + REQUIRE(0 == Approx(tp.GetStdDev(std1, 0))); + + std::vector<std::vector<float>> std2vec{{1, 2, 3, 4, 5}, {6, 7, 8, 9, 0}}; + arm::app::Array2d<float> std2(2,5); + populateArray2dWithVectorOfVector(std2vec, std2); + const float mean = tp.GetMean(std2); + REQUIRE(2.872281323 == Approx(tp.GetStdDev(std2, mean))); + + arm::app::Array2d<float> std3(2,2); + std::fill(std3.begin(), std3.end(), 1.f); /* std3{{1, 1}, {1, 1}}; */ + REQUIRE(0 == Approx(tp.GetStdDev(std3, 1))); + } + + SECTION("Norm") { + auto checker = [&](arm::app::Array2d<float>& d, std::vector<float>& g) { + tp.NormaliseVec(d); + std::vector<float> d_vec(d.begin(), d.end()); + REQUIRE_THAT(g, Catch::Approx(d_vec)); + }; + + std::vector<std::vector<float>> norm0vec{{1, 1}, {1, 1}}; + std::vector<float> goldenNorm0 {0, 0, 0, 0}; + arm::app::Array2d<float> norm0(2, 2); + populateArray2dWithVectorOfVector(norm0vec, norm0); + checker(norm0, goldenNorm0); + + std::vector<std::vector<float>> norm1vec{{1, 2, 3, 4, 5}, {6, 7, 8, 9, 0}}; + std::vector<float> goldenNorm1 { + -1.218543592, -0.87038828, -0.522232968, -0.174077656, 0.174077656, + 0.522232968, 0.87038828, 1.218543592, 1.566698904, -1.566698904}; + arm::app::Array2d<float> norm1(2, 5); + populateArray2dWithVectorOfVector(norm1vec, norm1); + checker(norm1, goldenNorm1); + } +} |