diff --git a/tests/use_case/kws/InferenceTestDSCNN.cc b/tests/use_case/kws/InferenceTestDSCNN.cc
new file mode 100644
index 0000000..06358a4
--- /dev/null
+++ b/tests/use_case/kws/InferenceTestDSCNN.cc
@@ -0,0 +1,104 @@
+/*
+ * 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 "DsCnnModel.hpp"
+#include "hal.h"
+#include "TestData_kws.hpp"
+#include "TensorFlowLiteMicro.hpp"
+
+#include <catch.hpp>
+#include <random>
+
+bool RunInference(arm::app::Model& model, const int8_t vec[])
+{
+    TfLiteTensor* inputTensor = model.GetInputTensor(0);
+    REQUIRE(inputTensor);
+
+    const size_t copySz = inputTensor->bytes < IFM_DATA_SIZE ?
+                            inputTensor->bytes :
+                            IFM_DATA_SIZE;
+    memcpy(inputTensor->data.data, vec, copySz);
+
+    return model.RunInference();
+}
+
+bool RunInferenceRandom(arm::app::Model& model)
+{
+    TfLiteTensor* inputTensor = model.GetInputTensor(0);
+    REQUIRE(inputTensor);
+
+    std::random_device rndDevice;
+    std::mt19937 mersenneGen{rndDevice()};
+    std::uniform_int_distribution<short> dist {-128, 127};
+
+    auto gen = [&dist, &mersenneGen](){
+                   return dist(mersenneGen);
+               };
+
+    std::vector<int8_t> randomAudio(inputTensor->bytes);
+    std::generate(std::begin(randomAudio), std::end(randomAudio), gen);
+
+    REQUIRE(RunInference(model, randomAudio.data()));
+    return true;
+}
+
+template<typename T>
+void TestInference(const T* input_goldenFV, const T* output_goldenFV, arm::app::Model& model)
+{
+    REQUIRE(RunInference(model, input_goldenFV));
+
+    TfLiteTensor* outputTensor = model.GetOutputTensor(0);
+
+    REQUIRE(outputTensor);
+    REQUIRE(outputTensor->bytes == OFM_DATA_SIZE);
+    auto tensorData = tflite::GetTensorData<T>(outputTensor);
+    REQUIRE(tensorData);
+
+    for (size_t i = 0; i < outputTensor->bytes; i++) {
+        REQUIRE((int)tensorData[i] == (int)((T)output_goldenFV[i]));
+    }
+}
+
+TEST_CASE("Running random inference with TensorFlow Lite Micro and DsCnnModel Int8", "[DS_CNN]")
+{
+    arm::app::DsCnnModel model{};
+
+    REQUIRE_FALSE(model.IsInited());
+    REQUIRE(model.Init());
+    REQUIRE(model.IsInited());
+
+    REQUIRE(RunInferenceRandom(model));
+}
+
+TEST_CASE("Running inference with TensorFlow Lite Micro and DsCnnModel Uint8", "[DS_CNN]")
+{
+    for (uint32_t i = 0 ; i < NUMBER_OF_FM_FILES; ++i) {
+        const int8_t* input_goldenFV = get_ifm_data_array(i);;
+        const int8_t* output_goldenFV = get_ofm_data_array(i);
+
+        DYNAMIC_SECTION("Executing inference with re-init")
+        {
+            arm::app::DsCnnModel model{};
+
+            REQUIRE_FALSE(model.IsInited());
+            REQUIRE(model.Init());
+            REQUIRE(model.IsInited());
+
+            TestInference<int8_t>(input_goldenFV, output_goldenFV, model);
+
+        }
+    }
+}
diff --git a/tests/use_case/kws/KWSHandlerTest.cc b/tests/use_case/kws/KWSHandlerTest.cc
new file mode 100644
index 0000000..dee2f6f
--- /dev/null
+++ b/tests/use_case/kws/KWSHandlerTest.cc
@@ -0,0 +1,180 @@
+/*
+ * 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 <catch.hpp>
+#include "DsCnnModel.hpp"
+#include "hal.h"
+
+#include "KwsResult.hpp"
+#include "Labels.hpp"
+#include "UseCaseHandler.hpp"
+#include "Classifier.hpp"
+#include "UseCaseCommonUtils.hpp"
+
+TEST_CASE("Model info")
+{
+    /* Model wrapper object. */
+    arm::app::DsCnnModel model;
+
+    /* Load the model. */
+    REQUIRE(model.Init());
+
+    /* Instantiate application context. */
+    arm::app::ApplicationContext caseContext;
+
+    caseContext.Set<arm::app::Model&>("model", model);
+
+    REQUIRE(model.ShowModelInfoHandler());
+}
+
+
+TEST_CASE("Inference by index")
+{
+    hal_platform    platform;
+    data_acq_module data_acq;
+    data_psn_module data_psn;
+    platform_timer  timer;
+
+    /* Initialise the HAL and platform. */
+    hal_init(&platform, &data_acq, &data_psn, &timer);
+    hal_platform_init(&platform);
+
+    /* Model wrapper object. */
+    arm::app::DsCnnModel model;
+
+    /* Load the model. */
+    REQUIRE(model.Init());
+
+    /* Instantiate application context. */
+    arm::app::ApplicationContext caseContext;
+    caseContext.Set<hal_platform&>("platform", platform);
+    caseContext.Set<arm::app::Model&>("model", model);
+    caseContext.Set<int>("frameLength", g_FrameLength);  /* 640 sample length for DSCNN. */
+    caseContext.Set<int>("frameStride", g_FrameStride);  /* 320 sample stride for DSCNN. */
+    caseContext.Set<float>("scoreThreshold", 0.5);       /* Normalised score threshold. */
+
+    arm::app::Classifier classifier;                     /* classifier wrapper object. */
+    caseContext.Set<arm::app::Classifier&>("classifier", classifier);
+
+    auto checker = [&](uint32_t audioIndex, std::vector<uint32_t> labelIndex)
+    {
+        caseContext.Set<uint32_t>("audioIndex", audioIndex);
+
+        std::vector<std::string> labels;
+        GetLabelsVector(labels);
+        caseContext.Set<const std::vector<std::string> &>("labels", labels);
+
+        REQUIRE(arm::app::ClassifyAudioHandler(caseContext, audioIndex, false));
+        REQUIRE(caseContext.Has("results"));
+
+        auto results = caseContext.Get<std::vector<arm::app::kws::KwsResult>>("results");
+
+        REQUIRE(results.size() == labelIndex.size());
+
+        for (size_t i = 0; i < results.size(); i++ ) {
+            REQUIRE(results[i].m_resultVec.size());
+            REQUIRE(results[i].m_resultVec[0].m_labelIdx == labelIndex[i]);
+        }
+
+    };
+
+    SECTION("Index = 0, short clip down")
+    {
+        /* Result: down. */
+        checker(0, {5});
+    }
+
+    SECTION("Index = 1, long clip right->left->up")
+    {
+        /* Result: right->right->left->up->up. */
+        checker(1, {7, 1, 6, 4, 4});
+    }
+
+    SECTION("Index = 2, short clip yes")
+    {
+        /* Result: yes. */
+        checker(2, {2});
+    }
+
+    SECTION("Index = 3, long clip yes->no->go->stop")
+    {
+        /* Result: yes->go->no->go->go->go->stop. */
+        checker(3, {2, 11, 3, 11, 11, 11, 10});
+    }
+}
+
+
+TEST_CASE("Inference run all clips")
+{
+    hal_platform    platform;
+    data_acq_module data_acq;
+    data_psn_module data_psn;
+    platform_timer  timer;
+
+    /* Initialise the HAL and platform. */
+    hal_init(&platform, &data_acq, &data_psn, &timer);
+    hal_platform_init(&platform);
+
+    /* Model wrapper object. */
+    arm::app::DsCnnModel model;
+
+    /* Load the model. */
+    REQUIRE(model.Init());
+
+    /* Instantiate application context. */
+    arm::app::ApplicationContext caseContext;
+
+    caseContext.Set<hal_platform&>("platform", platform);
+    caseContext.Set<arm::app::Model&>("model", model);
+    caseContext.Set<uint32_t>("clipIndex", 0);
+    caseContext.Set<int>("frameLength", g_FrameLength);  /* 640 sample length for DSCNN. */
+    caseContext.Set<int>("frameStride", g_FrameStride);  /* 320 sample stride for DSCNN. */
+    caseContext.Set<float>("scoreThreshold", 0.9);       /* Normalised score threshold. */
+    arm::app::Classifier classifier;                     /* classifier wrapper object. */
+    caseContext.Set<arm::app::Classifier&>("classifier", classifier);
+
+    std::vector <std::string> labels;
+    GetLabelsVector(labels);
+    caseContext.Set<const std::vector <std::string>&>("labels", labels);
+    REQUIRE(arm::app::ClassifyAudioHandler(caseContext, 0, true));
+}
+
+
+TEST_CASE("List all audio clips")
+{
+    hal_platform    platform;
+    data_acq_module data_acq;
+    data_psn_module data_psn;
+    platform_timer  timer;
+
+    /* Initialise the HAL and platform. */
+    hal_init(&platform, &data_acq, &data_psn, &timer);
+    hal_platform_init(&platform);
+
+    /* Model wrapper object. */
+    arm::app::DsCnnModel model;
+
+    /* Load the model. */
+    REQUIRE(model.Init());
+
+    /* Instantiate application context. */
+    arm::app::ApplicationContext caseContext;
+
+    caseContext.Set<hal_platform&>("platform", platform);
+    caseContext.Set<arm::app::Model&>("model", model);
+
+    REQUIRE(arm::app::ListFilesHandler(caseContext));
+}
\ No newline at end of file
diff --git a/tests/use_case/kws/KwsTests.cc b/tests/use_case/kws/KwsTests.cc
new file mode 100644
index 0000000..09f82da
--- /dev/null
+++ b/tests/use_case/kws/KwsTests.cc
@@ -0,0 +1,18 @@
+/*
+ * 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.
+ */
+#define CATCH_CONFIG_MAIN
+#include <catch.hpp>
diff --git a/tests/use_case/kws/MfccTests.cc b/tests/use_case/kws/MfccTests.cc
new file mode 100644
index 0000000..407861f
--- /dev/null
+++ b/tests/use_case/kws/MfccTests.cc
@@ -0,0 +1,156 @@
+/*
+ * 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 "DsCnnMfcc.hpp"
+
+#include <algorithm>
+#include <catch.hpp>
+#include <limits>
+
+/* First 640 samples from yes.wav. */
+const std::vector<int16_t> testWav = std::vector<int16_t>{
+    139, 143, 164, 163, 157, 156, 151, 148, 172, 171,
+    165, 169, 149, 142, 145, 147, 166, 146, 112, 132,
+    132, 136, 165, 176, 176, 152, 138, 158, 179, 185,
+    183, 148, 121, 130, 167, 204, 163, 132, 165, 184,
+    193, 205, 210, 204, 195, 178, 168, 197, 207, 201,
+    197, 177, 185, 196, 191, 198, 196, 183, 193, 181,
+    157, 170, 167, 159, 164, 152, 146, 167, 180, 171,
+    194, 232, 204, 173, 171, 172, 184, 169, 175, 199,
+    200, 195, 185, 214, 214, 193, 196, 191, 204, 191,
+    172, 187, 183, 192, 203, 172, 182, 228, 232, 205,
+    177, 174, 191, 210, 210, 211, 197, 177, 198, 217,
+    233, 236, 203, 191, 169, 145, 149, 161, 198, 206,
+    176, 137, 142, 181, 200, 215, 201, 188, 166, 162,
+    184, 155, 135, 132, 126, 142, 169, 184, 172, 156,
+    132, 119, 150, 147, 154, 160, 125, 130, 137, 154,
+    161, 168, 195, 182, 160, 134, 138, 146, 130, 120,
+    101, 122, 137, 118, 117, 131, 145, 140, 146, 148,
+    148, 168, 159, 134, 114, 114, 130, 147, 147, 134,
+    125, 98, 107, 127, 99, 79, 84, 107, 117, 114,
+    93, 92, 127, 112, 109, 110, 96, 118, 97, 87,
+    110, 95, 128, 153, 147, 165, 146, 106, 101, 137,
+    139, 96, 73, 90, 91, 51, 69, 102, 100, 103,
+    96, 101, 123, 107, 82, 89, 118, 127, 99, 100,
+    111, 97, 111, 123, 106, 121, 133, 103, 100, 88,
+    85, 111, 114, 125, 102, 91, 97, 84, 139, 157,
+    109, 66, 72, 129, 111, 90, 127, 126, 101, 109,
+    142, 138, 129, 159, 140, 80, 74, 78, 76, 98,
+    68, 42, 106, 143, 112, 102, 115, 114, 82, 75,
+    92, 80, 110, 114, 66, 86, 119, 101, 101, 103,
+    118, 145, 85, 40, 62, 88, 95, 87, 73, 64,
+    86, 71, 71, 105, 80, 73, 96, 92, 85, 90,
+    81, 86, 105, 100, 89, 78, 102, 114, 95, 98,
+    69, 70, 108, 112, 111, 90, 104, 137, 143, 160,
+    145, 121, 98, 86, 91, 87, 115, 123, 109, 99,
+    85, 120, 131, 116, 125, 144, 153, 111, 98, 110,
+    93, 89, 101, 137, 155, 142, 108, 94, 136, 145,
+    129, 129, 122, 109, 90, 76, 81, 110, 119, 96,
+    95, 102, 105, 111, 90, 89, 111, 115, 86, 51,
+    107, 140, 105, 105, 110, 142, 125, 76, 75, 69,
+    65, 52, 61, 69, 55, 42, 47, 58, 37, 35,
+    24, 20, 44, 22, 16, 26, 6, 3, 4, 23,
+    60, 51, 30, 12, 24, 31, -9, -16, -13, 13,
+    19, 9, 37, 55, 70, 36, 23, 57, 45, 33,
+    50, 59, 18, 11, 62, 74, 52, 8, -3, 26,
+    51, 48, -5, -9, 12, -7, -12, -5, 28, 41,
+    -2, -30, -13, 31, 33, -12, -22, -8, -15, -17,
+    2, -6, -25, -27, -24, -8, 4, -9, -52, -47,
+    -9, -32, -45, -5, 41, 15, -32, -14, 2, -1,
+    -10, -30, -32, -25, -21, -17, -14, 8, -4, -13,
+    34, 18, -36, -38, -18, -19, -28, -17, -14, -16,
+    -2, -20, -27, 12, 11, -17, -33, -12, -22, -64,
+    -42, -26, -23, -22, -37, -51, -53, -30, -18, -48,
+    -69, -38, -54, -96, -72, -49, -50, -57, -41, -22,
+    -43, -64, -54, -23, -49, -69, -41, -44, -42, -49,
+    -40, -26, -54, -50, -38, -49, -70, -94, -89, -69,
+    -56, -65, -71, -47, -39, -49, -79, -91, -56, -46,
+    -62, -86, -64, -32, -47, -50, -71, -77, -65, -68,
+    -52, -51, -61, -67, -61, -81, -93, -52, -59, -62,
+    -51, -75, -76, -50, -32, -54, -68, -70, -43, 1,
+    -42, -92, -80, -41, -38, -79, -69, -49, -82, -122,
+    -93, -21, -24, -61, -70, -73, -62, -74, -69, -43,
+    -25, -15, -43, -23, -26, -69, -44, -12, 1, -51,
+    -78, -13, 3, -53, -105, -72, -24, -62, -66, -31,
+    -40, -65, -86, -64, -44, -55, -63, -61, -37, -41,
+};
+
+/* Golden audio ops mfcc output for the above wav. */
+const std::vector<float> testWavMfcc {
+    -22.67135, -0.61615, 2.07233, 0.58137, 1.01655, 0.85816, 0.46039, 0.03393, 1.16511, 0.0072,
+};
+
+arm::app::audio::DsCnnMFCC GetMFCCInstance() {
+    const int sampFreq = arm::app::audio::DsCnnMFCC::ms_defaultSamplingFreq;
+    const int frameLenMs = 40;
+    const int frameLenSamples = sampFreq * frameLenMs * 0.001;
+    const int numMfccFeats = 10;
+
+   return arm::app::audio::DsCnnMFCC(numMfccFeats, frameLenSamples);
+}
+
+template <class T>
+void TestQuantisedMFCC() {
+    const float quantScale = 1.1088106632232666;
+    const int quantOffset = 95;
+    std::vector<T> mfccOutput = GetMFCCInstance().MfccComputeQuant<T>(testWav, quantScale, quantOffset);
+
+    const long min_val = std::numeric_limits<T>::min();
+    const long max_val = std::numeric_limits<T>::max();
+
+    for (size_t i = 0; i < testWavMfcc.size(); ++i){
+        long TestWavMfcc = (std::lround((testWavMfcc[i] / quantScale) + quantOffset));
+        T quantizedTestWavMfcc = static_cast<T>(std::max(min_val, std::min(TestWavMfcc, max_val)));
+
+        REQUIRE(quantizedTestWavMfcc  == Approx(mfccOutput[i]).margin(0));
+    }
+}
+template void TestQuantisedMFCC<int8_t>();
+template void TestQuantisedMFCC<uint8_t>();
+template void TestQuantisedMFCC<int16_t>();
+
+
+TEST_CASE("MFCC calculation test") {
+    hal_platform    platform;
+    data_acq_module dataAcq;
+    data_psn_module dataPsn;
+    platform_timer  timer;
+
+    /* Initialise the HAL and platform. */
+    hal_init(&platform, &dataAcq, &dataPsn, &timer);
+    hal_platform_init(&platform);
+
+    SECTION("FP32")
+    {
+        auto mfccOutput = GetMFCCInstance().MfccCompute(testWav);
+        REQUIRE_THAT( mfccOutput, Catch::Approx(testWavMfcc).margin(0.0001) );
+    }
+
+    SECTION("int8_t")
+    {
+        TestQuantisedMFCC<int8_t>();
+    }
+
+    SECTION("uint8_t")
+    {
+        TestQuantisedMFCC<uint8_t>();
+    }
+
+    SECTION("MFCC quant calculation test - int16_t")
+    {
+        TestQuantisedMFCC<int16_t>();
+    }
+}
\ No newline at end of file