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);
+    }
+}