diff --git a/source/use_case/kws/include/KwsProcessing.hpp b/source/use_case/kws/include/KwsProcessing.hpp
index abf20ab..ddf38c1 100644
--- a/source/use_case/kws/include/KwsProcessing.hpp
+++ b/source/use_case/kws/include/KwsProcessing.hpp
@@ -38,7 +38,7 @@
     public:
         /**
          * @brief       Constructor
-         * @param[in]   model             Pointer to the the KWS Model object.
+         * @param[in]   model             Pointer to the KWS Model object.
          * @param[in]   numFeatures       How many MFCC features to use.
          * @param[in]   mfccFrameLength   Number of audio samples used to calculate one set of MFCC values when
          *                                sliding a window through the audio sample.
@@ -107,24 +107,21 @@
         std::vector<ClassificationResult>& m_results;
 
     public:
-        const float m_scoreThreshold;
         /**
-         * @brief       Constructor
-         * @param[in]   classifier       Classifier object used to get top N results from classification.
-         * @param[in]   model            Pointer to the the Image classification Model object.
-         * @param[in]   labels           Vector of string labels to identify each output of the model.
-         * @param[in]   results          Vector of classification results to store decoded outputs.
-         * @param[in]   scoreThreshold   Predicted model score must be larger than this value to be accepted.
+         * @brief           Constructor
+         * @param[in]       classifier   Classifier object used to get top N results from classification.
+         * @param[in]       model        Pointer to the KWS Model object.
+         * @param[in]       labels       Vector of string labels to identify each output of the model.
+         * @param[in/out]   results      Vector of classification results to store decoded outputs.
          **/
         KWSPostProcess(Classifier& classifier, Model* model,
                        const std::vector<std::string>& labels,
-                       std::vector<ClassificationResult>& results,
-                       float scoreThreshold);
+                       std::vector<ClassificationResult>& results);
 
         /**
-         * @brief       Should perform post-processing of the result of inference then populate
-         *              populate KWS result data for any later use.
-         * @return      true if successful, false otherwise.
+         * @brief    Should perform post-processing of the result of inference then
+         *           populate KWS result data for any later use.
+         * @return   true if successful, false otherwise.
          **/
         bool DoPostProcess() override;
     };
diff --git a/source/use_case/kws/src/KwsProcessing.cc b/source/use_case/kws/src/KwsProcessing.cc
index b6b230c..14f9fce 100644
--- a/source/use_case/kws/src/KwsProcessing.cc
+++ b/source/use_case/kws/src/KwsProcessing.cc
@@ -197,11 +197,10 @@
 
     KWSPostProcess::KWSPostProcess(Classifier& classifier, Model* model,
                                    const std::vector<std::string>& labels,
-                                   std::vector<ClassificationResult>& results, float scoreThreshold)
+                                   std::vector<ClassificationResult>& results)
             :m_kwsClassifier{classifier},
              m_labels{labels},
-             m_results{results},
-             m_scoreThreshold{scoreThreshold}
+             m_results{results}
     {
         if (!model->IsInited()) {
             printf_err("Model is not initialised!.\n");
diff --git a/source/use_case/kws/src/UseCaseHandler.cc b/source/use_case/kws/src/UseCaseHandler.cc
index 350d34b..e73a2c3 100644
--- a/source/use_case/kws/src/UseCaseHandler.cc
+++ b/source/use_case/kws/src/UseCaseHandler.cc
@@ -93,7 +93,7 @@
         std::vector<ClassificationResult> singleInfResult;
         KWSPostProcess postprocess = KWSPostProcess(ctx.Get<KwsClassifier &>("classifier"), &model,
                                                     ctx.Get<std::vector<std::string>&>("labels"),
-                                                    singleInfResult, scoreThreshold);
+                                                    singleInfResult);
 
         UseCaseRunner runner = UseCaseRunner(&preprocess, &postprocess, &model);
 
@@ -146,7 +146,7 @@
                 /* Add results from this window to our final results vector. */
                 finalResults.emplace_back(kws::KwsResult(singleInfResult,
                         audioDataSlider.Index() * secondsPerSample * preprocess.m_audioDataStride,
-                        audioDataSlider.Index(), postprocess.m_scoreThreshold));
+                        audioDataSlider.Index(), scoreThreshold));
 
 #if VERIFY_TEST_OUTPUT
                 TfLiteTensor* outputTensor = model.GetOutputTensor(0);