diff --git a/source/application/api/use_case/asr/include/Wav2LetterPostprocess.hpp b/source/application/api/use_case/asr/include/Wav2LetterPostprocess.hpp
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@@ -0,0 +1,109 @@
+/*
+ * 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");
+ * 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.
+ */
+#ifndef ASR_WAV2LETTER_POSTPROCESS_HPP
+#define ASR_WAV2LETTER_POSTPROCESS_HPP
+
+#include "TensorFlowLiteMicro.hpp"   /* TensorFlow headers. */
+#include "BaseProcessing.hpp"
+#include "Model.hpp"
+#include "AsrClassifier.hpp"
+#include "AsrResult.hpp"
+#include "log_macros.h"
+
+namespace arm {
+namespace app {
+
+    /**
+     * @brief   Helper class to manage tensor post-processing for "wav2letter"
+     *          output.
+     */
+    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]       outputTensor       Pointer to the TFLite Micro output Tensor.
+         * @param[in]       classifier         Object used to get top N results from classification.
+         * @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.
+         **/
+        AsrPostProcess(TfLiteTensor* outputTensor, AsrClassifier& classifier,
+                       const std::vector<std::string>& labels, asr::ResultVec& result,
+                       uint32_t outputContextLen,
+                       uint32_t blankTokenIdx, uint32_t reductionAxis);
+
+        /**
+         * @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:
+        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    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.
+         */
+        bool EraseSectionsRowWise(uint8_t* ptrData,
+                                  uint32_t strideSzBytes,
+                                  bool lastIteration);
+    };
+
+} /* namespace app */
+} /* namespace arm */
+
+#endif /* ASR_WAV2LETTER_POSTPROCESS_HPP */
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