diff --git a/tests/use_case/kws/InferenceTestDSCNN.cc b/tests/use_case/kws/InferenceTestMicroNetKws.cc
similarity index 91%
rename from tests/use_case/kws/InferenceTestDSCNN.cc
rename to tests/use_case/kws/InferenceTestMicroNetKws.cc
index 8918073..e6e7753 100644
--- a/tests/use_case/kws/InferenceTestDSCNN.cc
+++ b/tests/use_case/kws/InferenceTestMicroNetKws.cc
@@ -14,7 +14,7 @@
  * See the License for the specific language governing permissions and
  * limitations under the License.
  */
-#include "DsCnnModel.hpp"
+#include "MicroNetKwsModel.hpp"
 #include "hal.h"
 #include "TestData_kws.hpp"
 #include "TensorFlowLiteMicro.hpp"
@@ -74,9 +74,9 @@
     }
 }
 
-TEST_CASE("Running random inference with TensorFlow Lite Micro and DsCnnModel Int8", "[DS_CNN]")
+TEST_CASE("Running random inference with TensorFlow Lite Micro and MicroNetKwsModel Int8", "[MicroNetKws]")
 {
-    arm::app::DsCnnModel model{};
+    arm::app::MicroNetKwsModel model{};
 
     REQUIRE_FALSE(model.IsInited());
     REQUIRE(model.Init());
@@ -85,7 +85,7 @@
     REQUIRE(RunInferenceRandom(model));
 }
 
-TEST_CASE("Running inference with TensorFlow Lite Micro and DsCnnModel Uint8", "[DS_CNN]")
+TEST_CASE("Running inference with TensorFlow Lite Micro and MicroNetKwsModel int8", "[MicroNetKws]")
 {
     REQUIRE(NUMBER_OF_IFM_FILES == NUMBER_OF_OFM_FILES);
     for (uint32_t i = 0 ; i < NUMBER_OF_IFM_FILES; ++i) {
@@ -94,7 +94,7 @@
 
         DYNAMIC_SECTION("Executing inference with re-init")
         {
-            arm::app::DsCnnModel model{};
+            arm::app::MicroNetKwsModel model{};
 
             REQUIRE_FALSE(model.IsInited());
             REQUIRE(model.Init());
diff --git a/tests/use_case/kws/KWSHandlerTest.cc b/tests/use_case/kws/KWSHandlerTest.cc
index 50e5a83..a7e75fb 100644
--- a/tests/use_case/kws/KWSHandlerTest.cc
+++ b/tests/use_case/kws/KWSHandlerTest.cc
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 #include <catch.hpp>
-#include "DsCnnModel.hpp"
+#include "MicroNetKwsModel.hpp"
 #include "hal.h"
 
 #include "KwsResult.hpp"
@@ -27,7 +27,7 @@
 TEST_CASE("Model info")
 {
     /* Model wrapper object. */
-    arm::app::DsCnnModel model;
+    arm::app::MicroNetKwsModel model;
 
     /* Load the model. */
     REQUIRE(model.Init());
@@ -53,7 +53,7 @@
     hal_platform_init(&platform);
 
     /* Model wrapper object. */
-    arm::app::DsCnnModel model;
+    arm::app::MicroNetKwsModel model;
 
     /* Load the model. */
     REQUIRE(model.Init());
@@ -65,8 +65,8 @@
     caseContext.Set<arm::app::Profiler&>("profiler", profiler);
     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<int>("frameLength", g_FrameLength);  /* 640 sample length for MicroNetKws. */
+    caseContext.Set<int>("frameStride", g_FrameStride);  /* 320 sample stride for MicroNetKws. */
     caseContext.Set<float>("scoreThreshold", 0.5);       /* Normalised score threshold. */
 
     arm::app::Classifier classifier;                     /* classifier wrapper object. */
@@ -97,25 +97,25 @@
     SECTION("Index = 0, short clip down")
     {
         /* Result: down. */
-        checker(0, {5});
+        checker(0, {0});
     }
 
     SECTION("Index = 1, long clip right->left->up")
     {
         /* Result: right->right->left->up->up. */
-        checker(1, {7, 1, 6, 4, 4});
+        checker(1, {6, 6, 2, 8, 8});
     }
 
     SECTION("Index = 2, short clip yes")
     {
         /* Result: yes. */
-        checker(2, {2});
+        checker(2, {9});
     }
 
     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});
+        /* Result: yes->no->no->go->go->stop->stop. */
+        checker(3, {9, 3, 3, 1, 1, 7, 7});
     }
 }
 
@@ -132,7 +132,7 @@
     hal_platform_init(&platform);
 
     /* Model wrapper object. */
-    arm::app::DsCnnModel model;
+    arm::app::MicroNetKwsModel model;
 
     /* Load the model. */
     REQUIRE(model.Init());
@@ -145,9 +145,9 @@
     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. */
+    caseContext.Set<int>("frameLength", g_FrameLength);  /* 640 sample length for MicroNet. */
+    caseContext.Set<int>("frameStride", g_FrameStride);  /* 320 sample stride for MicroNet. */
+    caseContext.Set<float>("scoreThreshold", 0.7);       /* Normalised score threshold. */
     arm::app::Classifier classifier;                     /* classifier wrapper object. */
     caseContext.Set<arm::app::Classifier&>("classifier", classifier);
 
@@ -170,7 +170,7 @@
     hal_platform_init(&platform);
 
     /* Model wrapper object. */
-    arm::app::DsCnnModel model;
+    arm::app::MicroNetKwsModel model;
 
     /* Load the model. */
     REQUIRE(model.Init());
diff --git a/tests/use_case/kws/MfccTests.cc b/tests/use_case/kws/MfccTests.cc
index 407861f..1d30ef4 100644
--- a/tests/use_case/kws/MfccTests.cc
+++ b/tests/use_case/kws/MfccTests.cc
@@ -14,7 +14,7 @@
  * See the License for the specific language governing permissions and
  * limitations under the License.
  */
-#include "DsCnnMfcc.hpp"
+#include "MicroNetKwsMfcc.hpp"
 
 #include <algorithm>
 #include <catch.hpp>
@@ -93,13 +93,13 @@
     -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;
+arm::app::audio::MicroNetKwsMFCC GetMFCCInstance() {
+    const int sampFreq = arm::app::audio::MicroNetKwsMFCC::ms_defaultSamplingFreq;
     const int frameLenMs = 40;
     const int frameLenSamples = sampFreq * frameLenMs * 0.001;
     const int numMfccFeats = 10;
 
-   return arm::app::audio::DsCnnMFCC(numMfccFeats, frameLenSamples);
+   return arm::app::audio::MicroNetKwsMFCC(numMfccFeats, frameLenSamples);
 }
 
 template <class T>
diff --git a/tests/use_case/kws_asr/InferenceTestDSCNN.cc b/tests/use_case/kws_asr/InferenceTestMicroNetKws.cc
similarity index 90%
rename from tests/use_case/kws_asr/InferenceTestDSCNN.cc
rename to tests/use_case/kws_asr/InferenceTestMicroNetKws.cc
index ad1731b..fd379b6 100644
--- a/tests/use_case/kws_asr/InferenceTestDSCNN.cc
+++ b/tests/use_case/kws_asr/InferenceTestMicroNetKws.cc
@@ -14,7 +14,7 @@
  * See the License for the specific language governing permissions and
  * limitations under the License.
  */
-#include "DsCnnModel.hpp"
+#include "MicroNetKwsModel.hpp"
 #include "hal.h"
 #include "TestData_kws.hpp"
 #include "TensorFlowLiteMicro.hpp"
@@ -72,8 +72,8 @@
     }
 }
 
-TEST_CASE("Running random inference with Tflu and DsCnnModel Int8", "[DS_CNN]") {
-    arm::app::DsCnnModel model{};
+TEST_CASE("Running random inference with Tflu and MicroNetKwsModel Int8", "[MicroNetKws]") {
+    arm::app::MicroNetKwsModel model{};
 
     REQUIRE_FALSE(model.IsInited());
     REQUIRE(model.Init());
@@ -82,14 +82,14 @@
     REQUIRE(RunInferenceRandom(model));
 }
 
-TEST_CASE("Running inference with Tflu and DsCnnModel Uint8", "[DS_CNN]") {
+TEST_CASE("Running inference with Tflu and MicroNetKwsModel Int8", "[MicroNetKws]") {
     REQUIRE(NUMBER_OF_IFM_FILES == NUMBER_OF_OFM_FILES);
     for (uint32_t i = 0; i < NUMBER_OF_IFM_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{};
+            arm::app::MicroNetKwsModel model{};
 
             REQUIRE_FALSE(model.IsInited());
             REQUIRE(model.Init());
diff --git a/tests/use_case/kws_asr/InitModels.cc b/tests/use_case/kws_asr/InitModels.cc
index 770944d..97aa092 100644
--- a/tests/use_case/kws_asr/InitModels.cc
+++ b/tests/use_case/kws_asr/InitModels.cc
@@ -14,7 +14,7 @@
  * See the License for the specific language governing permissions and
  * limitations under the License.
  */
-#include "DsCnnModel.hpp"
+#include "MicroNetKwsModel.hpp"
 #include "Wav2LetterModel.hpp"
 
 #include <catch.hpp>
@@ -22,8 +22,8 @@
 /* Skip this test, Wav2LetterModel if not Vela optimized but only from ML-zoo will fail. */
 TEST_CASE("Init two Models", "[.]")
 {
-    arm::app::DsCnnModel model1;
-    arm::app::DsCnnModel model2;
+    arm::app::MicroNetKwsModel model1;
+    arm::app::MicroNetKwsModel model2;
 
     /* Ideally we should load the wav2letter model here, but there is
      * none available to run on native (ops not supported on unoptimised
diff --git a/tests/use_case/kws_asr/MfccTests.cc b/tests/use_case/kws_asr/MfccTests.cc
index 9509519..c0fb723 100644
--- a/tests/use_case/kws_asr/MfccTests.cc
+++ b/tests/use_case/kws_asr/MfccTests.cc
@@ -14,7 +14,7 @@
  * See the License for the specific language governing permissions and
  * limitations under the License.
  */
-#include "DsCnnMfcc.hpp"
+#include "MicroNetKwsMfcc.hpp"
 
 #include <algorithm>
 #include <catch.hpp>
@@ -93,17 +93,17 @@
     -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;
+arm::app::audio::MicroNetMFCC GetMFCCInstance() {
+    const int sampFreq = arm::app::audio::MicroNetMFCC::ms_defaultSamplingFreq;
     const int frameLenMs = 40;
     const int frameLenSamples = sampFreq * frameLenMs * 0.001;
     const int numMfccFeats = 10;
 
-   return arm::app::audio::DsCnnMFCC(numMfccFeats, frameLenSamples);
+   return arm::app::audio::MicroNetMFCC(numMfccFeats, frameLenSamples);
 }
 
 template <class T>
-void TestQuntisedMFCC() {
+void TestQuantisedMFCC() {
     const float quantScale = 1.1088106632232666;
     const int quantOffset = 95;
     std::vector<T> mfccOutput = GetMFCCInstance().MfccComputeQuant<T>(testWav, quantScale, quantOffset);
@@ -118,9 +118,9 @@
         REQUIRE(quantizedTestWavMfcc  == Approx(mfccOutput[i]).margin(0));
     }
 }
-template void TestQuntisedMFCC<int8_t>();
-template void TestQuntisedMFCC<uint8_t>();
-template void TestQuntisedMFCC<int16_t>();
+template void TestQuantisedMFCC<int8_t>();
+template void TestQuantisedMFCC<uint8_t>();
+template void TestQuantisedMFCC<int16_t>();
 
 TEST_CASE("MFCC calculation test")
 {
@@ -141,16 +141,16 @@
 
     SECTION("int8_t")
     {
-        TestQuntisedMFCC<int8_t>();
+        TestQuantisedMFCC<int8_t>();
     }
 
     SECTION("uint8_t")
     {
-        TestQuntisedMFCC<uint8_t>();
+        TestQuantisedMFCC<uint8_t>();
     }
 
     SECTION("MFCC quant calculation test - int16_t")
     {
-        TestQuntisedMFCC<int16_t>();
+        TestQuantisedMFCC<int16_t>();
     }
 }
\ No newline at end of file