diff --git a/tests/use_case/ad/AdTests.cc b/tests/use_case/ad/AdTests.cc
new file mode 100644
index 0000000..09f82da
--- /dev/null
+++ b/tests/use_case/ad/AdTests.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/ad/InferenceTestAD.cc b/tests/use_case/ad/InferenceTestAD.cc
new file mode 100644
index 0000000..b87699d
--- /dev/null
+++ b/tests/use_case/ad/InferenceTestAD.cc
@@ -0,0 +1,100 @@
+/*
+ * 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 <random>
+
+#include "AdModel.hpp"
+#include "AdGoldenInput.hpp"
+#include "hal.h"
+#include "TensorFlowLiteMicro.hpp"
+
+#ifndef AD_FEATURE_VEC_DATA_SIZE
+#define AD_IN_FEATURE_VEC_DATA_SIZE (1024)
+#endif /* AD_FEATURE_VEC_DATA_SIZE */
+
+bool RunInference(arm::app::Model& model, const int8_t vec[])
+{
+    TfLiteTensor *inputTensor = model.GetInputTensor(0);
+    REQUIRE(inputTensor);
+
+    const size_t copySz = inputTensor->bytes < AD_IN_FEATURE_VEC_DATA_SIZE ? inputTensor->bytes : AD_IN_FEATURE_VEC_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> randomInput(inputTensor->bytes);
+    std::generate(std::begin(randomInput), std::end(randomInput), gen);
+
+    REQUIRE(RunInference(model, randomInput.data()));
+    return true;
+}
+
+template <typename T>
+void TestInference(const T *input_goldenFV, const T *output_goldenFV, arm::app::Model& model)
+{
+    REQUIRE(RunInference(model, (int8_t*)input_goldenFV));
+
+    TfLiteTensor *outputTensor = model.GetOutputTensor(0);
+
+    REQUIRE(outputTensor);
+    REQUIRE(outputTensor->bytes == AD_OUT_FEATURE_VEC_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 AdModel Int8", "[AD][.]")
+{
+    arm::app::AdModel model{};
+
+    REQUIRE_FALSE(model.IsInited());
+    REQUIRE(model.Init());
+    REQUIRE(model.IsInited());
+
+    REQUIRE(RunInferenceRandom(model));
+}
+
+TEST_CASE("Running golden vector inference with TensorFlow Lite Micro and AdModel Int8", "[AD][.]")
+{
+    arm::app::AdModel model{};
+
+    REQUIRE_FALSE(model.IsInited());
+    REQUIRE(model.Init());
+    REQUIRE(model.IsInited());
+
+    TestInference(ad_golden_input, ad_golden_out, model);
+}
\ No newline at end of file
diff --git a/tests/use_case/ad/MelSpecTests.cc b/tests/use_case/ad/MelSpecTests.cc
new file mode 100644
index 0000000..affc67a
--- /dev/null
+++ b/tests/use_case/ad/MelSpecTests.cc
@@ -0,0 +1,226 @@
+/*
+ * 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 "AdMelSpectrogram.hpp"
+#include <limits>
+#include <algorithm>
+#include <catch.hpp>
+
+/* First 1024 samples from test wav. */
+const std::vector<int16_t> testWav1 = std::vector<int16_t>{
+    490,495,445,403,390,259,126,146,
+    175,134,232,243,166,145,123,33,
+    -61,-4,8,-115,-281,-292,-210,-133,
+    -98,-142,-229,-356,-415,-438,-443,-396,
+    -377,-297,-85,122,172,16,-197,-351,
+    -484,-408,-378,-405,-399,-335,-180,-141,
+    -124,-108,-46,37,141,234,264,218,
+    147,164,132,111,125,73,2,36,
+    107,113,93,6,-40,-153,-273,-282,
+    -291,-298,-389,-446,-394,-324,-333,-385,
+    -485,-548,-690,-718,-660,-704,-690,-601,
+    -549,-641,-637,-513,-469,-366,-227,-269,
+    -348,-408,-486,-570,-638,-666,-730,-746,
+    -710,-634,-543,-461,-281,-156,-130,-126,
+    -144,-118,-23,103,132,37,-69,-86,
+    -234,-360,-366,-330,-248,-268,-282,-169,
+    -190,-152,-151,-145,-133,-205,-263,-397,
+    -558,-656,-668,-718,-779,-828,-856,-817,
+    -761,-759,-722,-772,-873,-983,-962,-897,
+    -843,-788,-750,-677,-555,-447,-373,-218,
+    -182,-230,-204,-174,-144,-127,-231,-199,
+    -127,-194,-250,-183,-189,-254,-249,-337,
+    -417,-459,-513,-505,-481,-402,-344,-284,
+    -281,-441,-450,-423,-327,-119,102,197,
+    208,173,102,103,165,131,15,75,
+    283,365,322,391,303,287,372,406,
+    493,577,640,681,577,498,524,511,
+    476,425,380,315,337,339,408,603,
+    749,745,672,654,588,520,523,544,
+    557,632,636,565,491,413,368,252,
+    136,33,1,-26,-152,-258,-98,18,
+    1,-18,-99,-117,-109,-228,-295,-349,
+    -334,-337,-441,-373,-279,-202,-204,-219,
+    -119,149,410,489,564,623,683,642,
+    707,872,932,862,833,862,894,784,
+    637,559,507,394,306,420,510,484,
+    519,526,599,789,959,1052,1063,1030,
+    860,697,603,530,475,463,468,461,
+    609,641,534,482,435,329,239,216,
+    185,82,88,106,60,26,-43,-127,
+    -220,-262,-317,-259,-172,-175,-271,-217,
+    -196,-164,8,144,150,134,60,13,
+    57,-58,-115,-171,-282,-310,-298,-106,
+    42,-101,-172,-181,-249,-326,-262,-132,
+    -56,-82,-71,-88,-196,-325,-426,-413,
+    -411,-317,-191,-172,-195,-292,-328,-191,
+    -88,-60,21,-63,-175,-135,-64,-83,
+    -163,-279,-440,-536,-403,-308,-236,-132,
+    -95,-69,-73,-21,13,133,185,251,
+    238,88,-66,-134,-175,-231,-219,-151,
+    -213,-328,-340,-374,-459,-601,-556,-395,
+    -248,-205,-174,-227,-402,-493,-464,-483,
+    -588,-564,-463,-493,-505,-416,-378,-313,
+    -215,-192,-192,-59,18,-40,-66,-60,
+    -143,-263,-213,-224,-265,-249,-237,-227,
+    -418,-504,-573,-699,-679,-577,-500,-570,
+    -538,-416,-444,-415,-294,-300,-427,-423,
+    -299,-279,-279,-187,-137,-123,60,230,
+    227,277,356,413,440,418,477,594,
+    697,729,586,561,653,570,590,628,
+    497,357,366,470,591,576,458,439,
+    417,431,447,349,304,241,294,406,
+    484,516,587,598,566,465,380,347,
+    316,391,429,409,216,69,57,76,
+    150,101,93,113,90,41,-28,-15,
+    -2,47,208,261,333,362,239,301,
+    422,431,426,434,482,510,480,407,
+    244,53,-108,-234,-275,-302,-304,-207,
+    -117,-181,-214,-248,-203,-52,5,-14,
+    24,-9,-154,-186,-82,-23,-62,-165,
+    -174,-190,-368,-414,-316,-301,-180,41,
+    116,214,319,408,416,157,-100,-40,
+    118,248,310,301,302,387,458,414,
+    301,261,233,111,33,39,65,56,
+    9,-92,-87,-98,-172,-196,-186,-18,
+    -14,-57,-111,-178,-278,-304,-358,-359,
+    -362,-464,-528,-400,-355,-284,-189,-240,
+    -253,-216,-319,-490,-621,-684,-758,-860,
+    -883,-877,-847,-787,-766,-852,-727,-481,
+    -339,-282,-266,-405,-414,-286,-225,-204,
+    -330,-488,-412,-292,-254,-290,-372,-436,
+    -545,-564,-413,-360,-344,-389,-430,-340,
+    -248,-271,-343,-383,-414,-409,-272,-223,
+    -215,-123,-10,-4,-6,-27,-11,78,
+    169,226,139,-19,16,100,54,-75,
+    -117,-103,-77,-277,-598,-644,-602,-509,
+    -396,-232,-227,-208,-153,-146,-205,-223,
+    -108,-55,-26,-8,-42,-178,-298,-320,
+    -254,-146,-135,-262,-370,-331,-337,-394,
+    -265,-53,136,309,354,312,345,303,
+    275,338,287,269,346,329,319,327,
+    199,118,251,296,243,111,90,150,
+    104,163,274,278,242,135,93,138,
+    5,-154,-206,-270,-334,-356,-251,-96,
+    -78,-123,-80,-93,-160,-217,-214,-154,
+    -42,128,228,243,307,465,492,425,
+    381,382,425,530,518,484,560,654,
+    659,663,723,717,672,652,542,507,
+    471,468,579,573,459,313,262,310,
+    284,235,331,361,275,207,104,35,
+    35,89,136,192,218,161,89,64,
+    116,175,159,95,96,242,350,248,
+    170,64,-35,-136,-202,-271,-307,-290,
+    -257,-219,-206,-185,-216,-213,-184,-135,
+    -165,-141,-25,-31,-28,-98,-247,-162,
+    10,35,-16,-113,-139,-127,-58,-100,
+    -166,-320,-406,-462,-604,-594,-650,-538,
+    -427,-365,-196,-117,-120,-102,-66,-122,
+    -211,-235,-202,-135,-40,-10,-38,-150,
+    -286,-223,-50,93,149,86,184,128,
+    113,163,13,-53,-135,-100,-72,-75,
+    -73,-118,-150,-197,-224,-131,-59,-109,
+    -92,-129,-189,-220,-166,-173,-114,-8,
+    26,-27,-38,50,109,143,161,209,
+    266,289,384,397,312,203,5,-64,
+    -14,6,56,67,19,-43,-112,-46,
+    -74,-101,-83,-115,-142,-207,-274,-292,
+    -299,-236,-181,-188,-48,60,6,-76,
+    -8,115,188,260,236,143,44,-30,
+    -17,31,37,-16,-28,87,210,276,
+    372,365,302,270,137,-8,-142,-246,
+    -279,-259,-203,-241,-278,-254,-245,-177,
+    -77,-8,-47,-159,-295,-412,-414,-414,
+    -566,-533,-255,-82,-10,222,358,336,
+    355,360,303,237,267,224,244,434,
+    422,372,404,464,559,538,446,294,
+    217,60,-82,-150,-144,-162,-250,-263,
+    -222,-148,-81,-134,-134,-106,-27,-71,
+};
+
+/* Golden log mel spec output for test wav. */
+const std::vector<float> testWavMelSpec {
+        -8.601085, -10.563560, -13.791912, -12.356619, -16.892878,
+        -16.913876, -15.695299, -21.848980, -21.193371, -18.772688,
+        -21.795116, -20.008236, -22.413673, -25.162649, -24.091856,
+        -24.936411, -19.341146, -23.534576, -29.052885, -26.562546,
+        -25.046455, -29.586889, -30.115177, -32.281334, -29.806450,
+        -30.398304, -26.682615, -27.397421, -31.224312, -31.033779,
+        -36.314369, -29.530331, -28.428139, -30.097546, -34.101303,
+        -32.660480, -34.229076, -34.668293, -35.140759, -34.104649,
+        -34.141472, -36.514408, -37.655891, -33.590931, -40.532566,
+        -39.105091, -39.600319, -40.239834, -41.356224, -41.103714,
+        -39.861557, -41.827553, -41.275696, -42.203575, -42.689217,
+        -46.495552, -46.704731, -45.560322, -47.423828, -50.672031,
+        -51.387669, -53.410839, -54.899536, -55.807552,
+};
+
+
+arm::app::audio::AdMelSpectrogram GetMelSpecInstance() {
+    int frameLenSamples = 1024;
+    return arm::app::audio::AdMelSpectrogram(frameLenSamples);
+}
+
+template <class T>
+void TestQuntisedMelSpec() {
+    float quantScale = 0.1410219967365265;
+    int quantOffset = 11;
+    std::vector<T> melSpecOutput = GetMelSpecInstance().MelSpecComputeQuant<T>(testWav1, quantScale, quantOffset);
+
+    long min_val = std::numeric_limits<T>::min();
+    long max_val = std::numeric_limits<T>::max();
+
+    for (size_t i = 0; i < testWavMelSpec.size(); i++){
+        long TestWavMelSpec = (std::lround((testWavMelSpec[i] / quantScale) + quantOffset));
+        T quantizedTestWavMelSpec = static_cast<T>(std::max(min_val, std::min(TestWavMelSpec, max_val)));
+
+        REQUIRE(quantizedTestWavMelSpec  == Approx(melSpecOutput[i]).margin(1));
+    }
+}
+
+template void TestQuntisedMelSpec<int8_t>();
+template void TestQuntisedMelSpec<uint8_t>();
+template void TestQuntisedMelSpec<int16_t>();
+
+TEST_CASE("Mel Spec calculation") {
+
+    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 melSpecOutput = GetMelSpecInstance().ComputeMelSpec(testWav1);
+        REQUIRE_THAT( melSpecOutput, Catch::Approx( testWavMelSpec ).margin(0.1) );
+    }
+
+    SECTION("int8_t") {
+        TestQuntisedMelSpec<int8_t>();
+    }
+
+    SECTION("uint8_t") {
+        TestQuntisedMelSpec<uint8_t>();
+    }
+
+    SECTION("int16_t") {
+        TestQuntisedMelSpec<int16_t>();
+    }
+}
diff --git a/tests/use_case/ad/PostProcessTests.cc b/tests/use_case/ad/PostProcessTests.cc
new file mode 100644
index 0000000..62fa9e7
--- /dev/null
+++ b/tests/use_case/ad/PostProcessTests.cc
@@ -0,0 +1,53 @@
+/*
+ * 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 "AdPostProcessing.hpp"
+#include <catch.hpp>
+
+TEST_CASE("Softmax_vector") {
+
+    std::vector<float> testVec = {1, 2, 3, 4, 1, 2, 3};
+    arm::app::Softmax(testVec);
+    CHECK((testVec[0] - 0.024) == Approx(0.0).margin(0.001));
+    CHECK((testVec[1] - 0.064) == Approx(0.0).margin(0.001));
+    CHECK((testVec[2] - 0.175) == Approx(0.0).margin(0.001));
+    CHECK((testVec[3] - 0.475) == Approx(0.0).margin(0.001));
+    CHECK((testVec[4] - 0.024) == Approx(0.0).margin(0.001));
+    CHECK((testVec[5] - 0.064) == Approx(0.0).margin(0.001));
+    CHECK((testVec[6] - 0.175) == Approx(0.0).margin(0.001));
+}
+
+TEST_CASE("Output machine index") {
+
+    auto index = arm::app::OutputIndexFromFileName("test_id_00.wav");
+    CHECK(index == 0);
+
+    auto index1 = arm::app::OutputIndexFromFileName("test_id_02.wav");
+    CHECK(index1 == 1);
+
+    auto index2 = arm::app::OutputIndexFromFileName("test_id_4.wav");
+    CHECK(index2 == 2);
+
+    auto index3 = arm::app::OutputIndexFromFileName("test_id_6.wav");
+    CHECK(index3 == 3);
+
+    auto index4 = arm::app::OutputIndexFromFileName("test_id_id_00.wav");
+    CHECK(index4 == -1);
+
+    auto index5 = arm::app::OutputIndexFromFileName("test_id_7.wav");
+    CHECK(index5 == -1);
+}
\ No newline at end of file