diff --git a/source/use_case/asr/include/Wav2LetterPostprocess.hpp b/source/use_case/asr/include/Wav2LetterPostprocess.hpp
index 29eb548..45defa5 100644
--- a/source/use_case/asr/include/Wav2LetterPostprocess.hpp
+++ b/source/use_case/asr/include/Wav2LetterPostprocess.hpp
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2021 Arm Limited. All rights reserved.
+ * Copyright (c) 2021-2022 Arm Limited. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,93 +17,90 @@
 #ifndef ASR_WAV2LETTER_POSTPROCESS_HPP
 #define ASR_WAV2LETTER_POSTPROCESS_HPP
 
-#include "TensorFlowLiteMicro.hpp" /* TensorFlow headers. */
+#include "TensorFlowLiteMicro.hpp"   /* TensorFlow headers. */
+#include "BaseProcessing.hpp"
+#include "AsrClassifier.hpp"
+#include "AsrResult.hpp"
 #include "log_macros.h"
 
 namespace arm {
 namespace app {
-namespace audio {
-namespace asr {
 
     /**
      * @brief   Helper class to manage tensor post-processing for "wav2letter"
      *          output.
      */
-    class Postprocess {
+    class ASRPostProcess : public BasePostProcess {
     public:
+        bool m_lastIteration = false;   /* Flag to set if processing the last set of data for a clip. */
+
         /**
-         * @brief       Constructor
-         * @param[in]   contextLen      Left and right context length for
-         *                              output tensor.
-         * @param[in]   innerLen        This is the length of the section
-         *                              between left and right context.
-         * @param[in]   blankTokenIdx  Blank token index.
+         * @brief           Constructor
+         * @param[in]       outputTensor       Pointer to the output Tensor.
+         * @param[in]       labels             Vector of string labels to identify each output of the model.
+         * @param[in/out]   result            Vector of classification results to store decoded outputs.
+         * @param[in]       outputContextLen   Left/right context length for output tensor.
+         * @param[in]       blankTokenIdx      Index in the labels that the "Blank token" takes.
+         * @param[in]       reductionAxis      The axis that the logits of each time step is on.
          **/
-        Postprocess(uint32_t contextLen,
-                    uint32_t innerLen,
-                    uint32_t blankTokenIdx);
-
-        Postprocess() = delete;
-        ~Postprocess() = default;
+        ASRPostProcess(AsrClassifier& classifier, TfLiteTensor* outputTensor,
+                const std::vector<std::string>& labels, asr::ResultVec& result,
+                uint32_t outputContextLen,
+                uint32_t blankTokenIdx, uint32_t reductionAxis);
 
         /**
-         * @brief       Erases the required part of the tensor based
-         *              on context lengths set up during initialisation.
-         * @param[in]   tensor          Pointer to the tensor.
-         * @param[in]   axisIdx         Index of the axis on which erase is
-         *                              performed.
-         * @param[in]   lastIteration   Flag to signal this is the
-         *                              last iteration in which case
-         *                              the right context is preserved.
-         * @return      true if successful, false otherwise.
-         */
-        bool Invoke(TfLiteTensor*  tensor,
-                    uint32_t axisIdx,
-                    bool lastIteration = false);
+         * @brief    Should perform post-processing of the result of inference then
+         *           populate ASR result data for any later use.
+         * @return   true if successful, false otherwise.
+         **/
+        bool DoPostProcess() override;
+
+        /** @brief   Gets the output inner length for post-processing. */
+        static uint32_t GetOutputInnerLen(const TfLiteTensor*, uint32_t outputCtxLen);
+
+        /** @brief   Gets the output context length (left/right) for post-processing. */
+        static uint32_t GetOutputContextLen(const Model& model, uint32_t inputCtxLen);
+
+        /** @brief   Gets the number of feature vectors to be computed. */
+        static uint32_t GetNumFeatureVectors(const Model& model);
 
     private:
-        uint32_t    m_contextLen;      /* lengths of left and right contexts. */
-        uint32_t    m_innerLen;        /* Length of inner context. */
-        uint32_t    m_totalLen;        /* Total length of the required axis. */
-        uint32_t    m_countIterations; /* Current number of iterations. */
-        uint32_t    m_blankTokenIdx;   /* Index of the labels blank token. */
-        /**
-         * @brief       Checks if the tensor and axis index are valid
-         *              inputs to the object - based on how it has been
-         *              initialised.
-         * @return      true if valid, false otherwise.
-         */
-        bool IsInputValid(TfLiteTensor*  tensor,
-                          const uint32_t axisIdx) const;
+        AsrClassifier& m_classifier;                /* ASR Classifier object. */
+        TfLiteTensor* m_outputTensor;               /* Model output tensor. */
+        const std::vector<std::string>& m_labels;   /* ASR Labels. */
+        asr::ResultVec & m_results;                 /* Results vector for a single inference. */
+        uint32_t m_outputContextLen;                /* lengths of left/right contexts for output. */
+        uint32_t m_outputInnerLen;                  /* Length of output inner context. */
+        uint32_t m_totalLen;                        /* Total length of the required axis. */
+        uint32_t m_countIterations;                 /* Current number of iterations. */
+        uint32_t m_blankTokenIdx;                   /* Index of the labels blank token. */
+        uint32_t m_reductionAxisIdx;                /* Axis containing output logits for a single step. */
 
         /**
-         * @brief       Gets the tensor data element size in bytes based
-         *              on the tensor type.
-         * @return      Size in bytes, 0 if not supported.
+         * @brief    Checks if the tensor and axis index are valid
+         *           inputs to the object - based on how it has been initialised.
+         * @return   true if valid, false otherwise.
+         */
+        bool IsInputValid(TfLiteTensor*  tensor,
+                          uint32_t axisIdx) const;
+
+        /**
+         * @brief    Gets the tensor data element size in bytes based
+         *           on the tensor type.
+         * @return   Size in bytes, 0 if not supported.
          */
         static uint32_t GetTensorElementSize(TfLiteTensor* tensor);
 
         /**
-         * @brief       Erases sections from the data assuming row-wise
-         *              arrangement along the context axis.
-         * @return      true if successful, false otherwise.
+         * @brief    Erases sections from the data assuming row-wise
+         *           arrangement along the context axis.
+         * @return   true if successful, false otherwise.
          */
         bool EraseSectionsRowWise(uint8_t* ptrData,
-                                  const uint32_t strideSzBytes,
-                                  const bool lastIteration);
-
-        /**
-         * @brief       Erases sections from the data assuming col-wise
-         *              arrangement along the context axis.
-         * @return      true if successful, false otherwise.
-         */
-        static bool EraseSectionsColWise(const uint8_t* ptrData,
-                                  const uint32_t strideSzBytes,
-                                  const bool lastIteration);
+                                  uint32_t strideSzBytes,
+                                  bool lastIteration);
     };
 
-} /* namespace asr */
-} /* namespace audio */
 } /* namespace app */
 } /* namespace arm */