diff --git a/source/use_case/kws_asr/src/Wav2LetterPostprocess.cc b/source/use_case/kws_asr/src/Wav2LetterPostprocess.cc
new file mode 100644
index 0000000..b173968
--- /dev/null
+++ b/source/use_case/kws_asr/src/Wav2LetterPostprocess.cc
@@ -0,0 +1,155 @@
+/*
+ * 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 "Wav2LetterPostprocess.hpp"
+
+#include "Wav2LetterModel.hpp"
+
+namespace arm {
+namespace app {
+namespace audio {
+namespace asr {
+
+    Postprocess::Postprocess(const uint32_t contextLen,
+                             const uint32_t innerLen,
+                             const uint32_t blankTokenIdx)
+        :   _m_contextLen(contextLen),
+            _m_innerLen(innerLen),
+            _m_totalLen(2 * this->_m_contextLen + this->_m_innerLen),
+            _m_countIterations(0),
+            _m_blankTokenIdx(blankTokenIdx)
+    {}
+
+    bool Postprocess::Invoke(TfLiteTensor*  tensor,
+                            const uint32_t  axisIdx,
+                            const bool      lastIteration)
+    {
+        /* Basic checks. */
+        if (!this->_IsInputValid(tensor, axisIdx)) {
+            return false;
+        }
+
+        /* Irrespective of tensor type, we use unsigned "byte" */
+        uint8_t* ptrData = tflite::GetTensorData<uint8_t>(tensor);
+        const uint32_t elemSz = this->_GetTensorElementSize(tensor);
+
+        /* Other sanity checks. */
+        if (0 == elemSz) {
+            printf_err("Tensor type not supported for post processing\n");
+            return false;
+        } else if (elemSz * this->_m_totalLen > tensor->bytes) {
+            printf_err("Insufficient number of tensor bytes\n");
+            return false;
+        }
+
+        /* Which axis do we need to process? */
+        switch (axisIdx) {
+            case arm::app::Wav2LetterModel::ms_outputRowsIdx:
+                return this->_EraseSectionsRowWise(ptrData,
+                        elemSz * tensor->dims->data[arm::app::Wav2LetterModel::ms_outputColsIdx],
+                        lastIteration);
+            default:
+                printf_err("Unsupported axis index: %u\n", axisIdx);
+        }
+
+        return false;
+    }
+
+    bool Postprocess::_IsInputValid(TfLiteTensor*  tensor,
+                                    const uint32_t axisIdx) const
+    {
+        if (nullptr == tensor) {
+            return false;
+        }
+
+        if (static_cast<int>(axisIdx) >= tensor->dims->size) {
+            printf_err("Invalid axis index: %u; Max: %d\n",
+                axisIdx, tensor->dims->size);
+            return false;
+        }
+
+        if (static_cast<int>(this->_m_totalLen) !=
+                             tensor->dims->data[axisIdx]) {
+            printf_err("Unexpected tensor dimension for axis %d, \n",
+                tensor->dims->data[axisIdx]);
+            return false;
+        }
+
+        return true;
+    }
+
+    uint32_t Postprocess::_GetTensorElementSize(TfLiteTensor*  tensor)
+    {
+        switch(tensor->type) {
+            case kTfLiteUInt8:
+                return 1;
+            case kTfLiteInt8:
+                return 1;
+            case kTfLiteInt16:
+                return 2;
+            case kTfLiteInt32:
+                return 4;
+            case kTfLiteFloat32:
+                return 4;
+            default:
+                printf_err("Unsupported tensor type %s\n",
+                    TfLiteTypeGetName(tensor->type));
+        }
+
+        return 0;
+    }
+
+    bool Postprocess::_EraseSectionsRowWise(
+                        uint8_t*         ptrData,
+                        const uint32_t   strideSzBytes,
+                        const bool       lastIteration)
+    {
+        /* In this case, the "zero-ing" is quite simple as the region
+         * to be zeroed sits in contiguous memory (row-major). */
+        const uint32_t eraseLen = strideSzBytes * this->_m_contextLen;
+
+        /* Erase left context? */
+        if (this->_m_countIterations > 0) {
+            /* Set output of each classification window to the blank token. */
+            std::memset(ptrData, 0, eraseLen);
+            for (size_t windowIdx = 0; windowIdx < this->_m_contextLen; windowIdx++) {
+                ptrData[windowIdx*strideSzBytes + this->_m_blankTokenIdx] = 1;
+            }
+        }
+
+        /* Erase right context? */
+        if (false == lastIteration) {
+            uint8_t * rightCtxPtr = ptrData + (strideSzBytes * (this->_m_contextLen + this->_m_innerLen));
+            /* Set output of each classification window to the blank token. */
+            std::memset(rightCtxPtr, 0, eraseLen);
+            for (size_t windowIdx = 0; windowIdx < this->_m_contextLen; windowIdx++) {
+                rightCtxPtr[windowIdx*strideSzBytes + this->_m_blankTokenIdx] = 1;
+            }
+        }
+
+        if (lastIteration) {
+            this->_m_countIterations = 0;
+        } else {
+            ++this->_m_countIterations;
+        }
+
+        return true;
+    }
+
+} /* namespace asr */
+} /* namespace audio */
+} /* namespace app */
+} /* namespace arm */
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