MLECO-3183: Refactoring application sources

Platform agnostic application sources are moved into application
api module with their own independent CMake projects.

Changes for MLECO-3080 also included - they create CMake projects
individial API's (again, platform agnostic) that dependent on the
common logic. The API for KWS_API "joint" API has been removed and
now the use case relies on individual KWS, and ASR API libraries.

Change-Id: I1f7748dc767abb3904634a04e0991b74ac7b756d
Signed-off-by: Kshitij Sisodia <kshitij.sisodia@arm.com>
diff --git a/source/application/main/include/AudioUtils.hpp b/source/application/main/include/AudioUtils.hpp
deleted file mode 100644
index cbf7bb7..0000000
--- a/source/application/main/include/AudioUtils.hpp
+++ /dev/null
@@ -1,172 +0,0 @@
-/*
- * 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.
- */
-#ifndef AUDIO_UTILS_HPP
-#define AUDIO_UTILS_HPP
-
-#include <cstddef>
-#include <cstdint>
-
-namespace arm {
-namespace app {
-namespace audio {
-
-    template<class T>
-    class SlidingWindow {
-    public:
-
-        /**
-         * @brief     Creates the window slider through the given data.
-         *
-         * @param[in] data         Pointer to the data to slide through.
-         * @param[in] dataSize     Size in T type elements wise.
-         * @param[in] windowSize   Sliding window size in T type wise elements.
-         * @param[in] stride       Stride size in T type wise elements.
-         */
-        SlidingWindow(T *data, size_t dataSize,
-                      size_t windowSize, size_t stride) {
-            m_start = data;
-            m_dataSize = dataSize;
-            m_size = windowSize;
-            m_stride = stride;
-        }
-
-        SlidingWindow() = default;
-
-        ~SlidingWindow() = default;
-
-        /**
-         * @brief  Get the next data window.
-         * @return Pointer to the next window, if next window is not available nullptr is returned.
-         */
-        virtual T *Next() {
-            if (HasNext()) {
-                m_count++;
-                return m_start + Index() * m_stride;
-            } else {
-                return nullptr;
-            }
-        }
-
-        /**
-         * @brief  Checks if the next data portion is available.
-         * @return true if next data portion is available.
-         */
-        virtual bool HasNext() {
-            return m_size + m_count * m_stride <= m_dataSize;
-        }
-
-        /**
-         * @brief Reset the slider to the initial position.
-         */
-        virtual void Reset() {
-            m_count = 0;
-        }
-
-        /**
-         * @brief     Resets the slider to the start of the new data.
-         *            New data size MUST be the same as the old one.
-         * @param[in] newStart   Pointer to the new data to slide through.
-         */
-        virtual void Reset(T *newStart) {
-            m_start = newStart;
-            Reset();
-        }
-
-        /**
-         * @brief  Gets current index of the sliding window.
-         * @return Current position of the sliding window in number of strides.
-         */
-        size_t Index() {
-            return m_count == 0? 0: m_count - 1;
-        }
-
-        /**
-         * @brief  Gets the index from the start of the data where the next window will begin.
-         *         While Index() returns the index of sliding window itself this function
-         *         returns the index of the data element itself.
-         * @return Index from the start of the data where the next sliding window will begin.
-         */
-        virtual uint32_t NextWindowStartIndex() {
-            return m_count == 0? 0: ((m_count) * m_stride);
-        }
-
-        /**
-         * @brief     Go to given sliding window index.
-         * @param[in] index   New position of the sliding window. If index is invalid
-         *                    (greater than possible range of strides) then next call to Next() will return nullptr.
-         */
-        void FastForward(size_t index) {
-            m_count = index;
-        }
-
-        /**
-         * @brief  Calculates whole number of times the window can stride through the given data.
-         * @return Maximum number of whole strides.
-         */
-         size_t TotalStrides() {
-            if (m_size > m_dataSize) {
-                return 0;
-            }
-            return ((m_dataSize - m_size)/m_stride);
-        }
-
-
-    protected:
-        T *m_start = nullptr;
-        size_t m_dataSize = 0;
-        size_t m_size = 0;
-        size_t m_stride = 0;
-        size_t m_count = 0;
-    };
-
-    /*
-     * Sliding window that will cover the whole length of the input, even if
-     * this means the last window is not a full window length.
-     */
-    template<class T>
-    class FractionalSlidingWindow : public SlidingWindow<T> {
-    public:
-        using SlidingWindow<T>::SlidingWindow;
-
-        /**
-         * @brief  Checks if the next data portion is available.
-         * @return true if next data portion is available.
-         */
-        bool HasNext() {
-            return this->m_count < 1 + this->FractionalTotalStrides() && (this->NextWindowStartIndex() < this->m_dataSize);
-        }
-
-        /**
-        * @brief  Calculates number of times the window can stride through the given data.
-        *         May not be a whole number.
-        * @return Number of strides to cover all data.
-        */
-        float FractionalTotalStrides() {
-            if (this->m_dataSize < this->m_size) {
-                return 0;
-            } else {
-                return ((this->m_dataSize - this->m_size) / static_cast<float>(this->m_stride));
-            }
-        }
-    };
-
-
-} /* namespace audio */
-} /* namespace app */
-} /* namespace arm */
-
-#endif /* AUDIO_UTILS_HPP */
\ No newline at end of file
diff --git a/source/application/main/include/BaseProcessing.hpp b/source/application/main/include/BaseProcessing.hpp
deleted file mode 100644
index c099db2..0000000
--- a/source/application/main/include/BaseProcessing.hpp
+++ /dev/null
@@ -1,67 +0,0 @@
-/*
- * Copyright (c) 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 BASE_PROCESSING_HPP
-#define BASE_PROCESSING_HPP
-
-#include "Model.hpp"
-
-namespace arm {
-namespace app {
-
-    /**
-     * @brief   Base class exposing pre-processing API.
-     *          Use cases should provide their own PreProcessing class that inherits from this one.
-     *          All steps required to take raw input data and populate tensors ready for inference
-     *          should be handled.
-     */
-    class BasePreProcess {
-
-    public:
-        virtual ~BasePreProcess() = default;
-
-        /**
-         * @brief       Should perform pre-processing of 'raw' input data and load it into
-         *              TFLite Micro input tensors ready for inference
-         * @param[in]   input      Pointer to the data that pre-processing will work on.
-         * @param[in]   inputSize  Size of the input data.
-         * @return      true if successful, false otherwise.
-         **/
-        virtual bool DoPreProcess(const void* input, size_t inputSize) = 0;
-    };
-
-    /**
-     * @brief   Base class exposing post-processing API.
-     *          Use cases should provide their own PostProcessing class that inherits from this one.
-     *          All steps required to take inference output and populate results vectors should be handled.
-     */
-    class BasePostProcess {
-
-    public:
-        virtual ~BasePostProcess() = default;
-
-        /**
-         * @brief       Should perform post-processing of the result of inference then populate
-         *              populate result data for any later use.
-         * @return      true if successful, false otherwise.
-         **/
-        virtual bool DoPostProcess() = 0;
-    };
-
-} /* namespace app */
-} /* namespace arm */
-
-#endif /* BASE_PROCESSING_HPP */
\ No newline at end of file
diff --git a/source/application/main/include/BufAttributes.hpp b/source/application/main/include/BufAttributes.hpp
new file mode 100644
index 0000000..0146443
--- /dev/null
+++ b/source/application/main/include/BufAttributes.hpp
@@ -0,0 +1,72 @@
+/*
+ * 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.
+ */
+
+#ifndef BUF_ATTRIBUTES_HPP
+#define BUF_ATTRIBUTES_HPP
+
+#if defined(ARM_NPU)
+    /* When Arm NPU is defined, we use the config set by NPU mem parameters */
+    #include "ethosu_mem_config.h"
+    #define BYTE_ALIGNMENT              ETHOS_U_MEM_BYTE_ALIGNMENT
+#else /* defined(ARM_NPU) */
+    /* otherwise, we use the default ones here. */
+    #define ACTIVATION_BUF_SECTION      section(".bss.NoInit.activation_buf_sram")
+    #define ACTIVATION_BUF_SECTION_NAME ("SRAM")
+    #define BYTE_ALIGNMENT              16
+#endif /* defined(ARM_NPU) */
+
+#ifdef __has_attribute
+#define HAVE_ATTRIBUTE(x) __has_attribute(x)
+#else   /* __has_attribute */
+#define HAVE_ATTRIBUTE(x) 0
+#endif  /* __has_attribute */
+
+#if HAVE_ATTRIBUTE(aligned) || (defined(__GNUC__) && !defined(__clang__))
+
+/* We want all buffers/sections to be aligned to 16 byte.  */
+#define ALIGNMENT_REQ               aligned(BYTE_ALIGNMENT)
+
+#define MODEL_SECTION               section("nn_model")
+
+/* Label section name */
+#define LABEL_SECTION               section("labels")
+
+#ifndef ACTIVATION_BUF_SZ
+    #warning  "ACTIVATION_BUF_SZ needs to be defined. Using default value"
+    #define ACTIVATION_BUF_SZ       0x00200000
+#endif  /* ACTIVATION_BUF_SZ */
+
+/* IFM section name. */
+#define IFM_BUF_SECTION             section("ifm")
+
+/* Form the attributes, alignment is mandatory. */
+#define MAKE_ATTRIBUTE(x)           __attribute__((ALIGNMENT_REQ, x))
+#define MODEL_TFLITE_ATTRIBUTE      MAKE_ATTRIBUTE(MODEL_SECTION)
+#define ACTIVATION_BUF_ATTRIBUTE    MAKE_ATTRIBUTE(ACTIVATION_BUF_SECTION)
+#define IFM_BUF_ATTRIBUTE           MAKE_ATTRIBUTE(IFM_BUF_SECTION)
+#define LABELS_ATTRIBUTE            MAKE_ATTRIBUTE(LABEL_SECTION)
+
+#else /* HAVE_ATTRIBUTE(aligned) || (defined(__GNUC__) && !defined(__clang__)) */
+
+#define MODEL_TFLITE_ATTRIBUTE
+#define ACTIVATION_BUF_ATTRIBUTE
+#define IFM_BUF_ATTRIBUTE
+#define LABELS_ATTRIBUTE
+
+#endif /* HAVE_ATTRIBUTE(aligned) || (defined(__GNUC__) && !defined(__clang__)) */
+
+#endif /* BUF_ATTRIBUTES_HPP */
diff --git a/source/application/main/include/ClassificationResult.hpp b/source/application/main/include/ClassificationResult.hpp
deleted file mode 100644
index eae28e4..0000000
--- a/source/application/main/include/ClassificationResult.hpp
+++ /dev/null
@@ -1,41 +0,0 @@
-/*
- * 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.
- */
-#ifndef CLASSIFICATION_RESULT_HPP
-#define CLASSIFICATION_RESULT_HPP
-
-#include <string>
-
-namespace arm {
-namespace app {
-
-    /**
-     * @brief   Class representing a single classification result.
-     */
-    class ClassificationResult {
-    public:
-        double          m_normalisedVal = 0.0;
-        std::string     m_label;
-        uint32_t        m_labelIdx = 0;
-
-        ClassificationResult() = default;
-        ~ClassificationResult() = default;
-    };
-
-} /* namespace app */
-} /* namespace arm */
-
-#endif /* CLASSIFICATION_RESULT_HPP */
\ No newline at end of file
diff --git a/source/application/main/include/Classifier.hpp b/source/application/main/include/Classifier.hpp
deleted file mode 100644
index d641c22..0000000
--- a/source/application/main/include/Classifier.hpp
+++ /dev/null
@@ -1,89 +0,0 @@
-/*
- * 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.
- */
-#ifndef CLASSIFIER_HPP
-#define CLASSIFIER_HPP
-
-#include "ClassificationResult.hpp"
-#include "TensorFlowLiteMicro.hpp"
-
-#include <vector>
-
-namespace arm {
-namespace app {
-
-    /**
-     * @brief   Classifier - a helper class to get certain number of top
-     *          results from the output vector from a classification NN.
-     **/
-    class Classifier{
-    public:
-        /** @brief Constructor. */
-        Classifier() = default;
-
-        /**
-         * @brief       Gets the top N classification results from the
-         *              output vector.
-         * @param[in]   outputTensor   Inference output tensor from an NN model.
-         * @param[out]  vecResults     A vector of classification results.
-         *                             populated by this function.
-         * @param[in]   labels         Labels vector to match classified classes.
-         * @param[in]   topNCount      Number of top classifications to pick. Default is 1.
-         * @param[in]   useSoftmax     Whether Softmax normalisation should be applied to output. Default is false.
-         * @return      true if successful, false otherwise.
-         **/
-
-        virtual bool GetClassificationResults(
-            TfLiteTensor* outputTensor,
-            std::vector<ClassificationResult>& vecResults,
-            const std::vector <std::string>& labels, uint32_t topNCount,
-            bool use_softmax);
-
-        /**
-        * @brief       Populate the elements of the Classification Result object.
-        * @param[in]   topNSet        Ordered set of top 5 output class scores and labels.
-        * @param[out]  vecResults     A vector of classification results.
-        *                             populated by this function.
-        * @param[in]   labels         Labels vector to match classified classes.
-        **/
-
-        void SetVectorResults(
-            std::set<std::pair<float, uint32_t>>& topNSet,
-            std::vector<ClassificationResult>& vecResults,
-            const std::vector <std::string>& labels);
-
-    private:
-        /**
-         * @brief       Utility function that gets the top N classification results from the
-         *              output vector.
-         * @param[in]   tensor       Inference output tensor from an NN model.
-         * @param[out]  vecResults   A vector of classification results
-         *                           populated by this function.
-         * @param[in]   topNCount    Number of top classifications to pick.
-         * @param[in]   labels       Labels vector to match classified classes.
-         * @return      true if successful, false otherwise.
-         **/
-
-        bool GetTopNResults(const std::vector<float>& tensor,
-                            std::vector<ClassificationResult>& vecResults,
-                            uint32_t topNCount,
-                            const std::vector <std::string>& labels);
-    };
-
-} /* namespace app */
-} /* namespace arm */
-
-#endif /* CLASSIFIER_HPP */
diff --git a/source/application/main/include/DataStructures.hpp b/source/application/main/include/DataStructures.hpp
deleted file mode 100644
index 0616839..0000000
--- a/source/application/main/include/DataStructures.hpp
+++ /dev/null
@@ -1,128 +0,0 @@
-/*
- * 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.
- */
-#ifndef DATA_STRUCTURES_HPP
-#define DATA_STRUCTURES_HPP
-
-#include <iterator>
-
-namespace arm {
-namespace app {
-
-    /**
-     * Class Array2d is a data structure that represents a two dimensional array.
-     * The data is allocated in contiguous memory, arranged row-wise
-     * and individual elements can be accessed with the () operator.
-     * For example a two dimensional array D of size (M, N) can be accessed:
-     *
-     *               _|<------------- col size = N  -------->|
-     *               |  D(r=0, c=0) D(r=0, c=1)... D(r=0, c=N)
-     *               |  D(r=1, c=0) D(r=1, c=1)... D(r=1, c=N)
-     *               |  ...
-     *    row size = M  ...
-     *               |  ...
-     *               _  D(r=M, c=0) D(r=M, c=1)... D(r=M, c=N)
-     *
-     */
-    template<typename T>
-    class Array2d {
-    public:
-        /**
-         * @brief     Creates the array2d with the given sizes.
-         * @param[in] rows   Number of rows.
-         * @param[in] cols   Number of columns.
-         */
-        Array2d(unsigned rows, unsigned cols): m_rows(rows), m_cols(cols)
-        {
-            if (rows == 0 || cols == 0) {
-                printf("Array2d constructor has 0 size.\n");
-                m_data = nullptr;
-                return;
-            }
-            m_data = new T[rows * cols];
-        }
-
-        ~Array2d()
-        {
-            delete[] m_data;
-        }
-
-        T& operator() (unsigned int row, unsigned int col)
-        {
-#if defined(DEBUG)
-            if (row >= m_rows || col >= m_cols ||  m_data == nullptr) {
-                printf_err("Array2d subscript out of bounds.\n");
-            }
-#endif /* defined(DEBUG) */
-            return m_data[m_cols * row + col];
-        }
-
-        T operator() (unsigned int row, unsigned int col) const
-        {
-#if defined(DEBUG)
-            if (row >= m_rows || col >= m_cols ||  m_data == nullptr) {
-                printf_err("const Array2d subscript out of bounds.\n");
-            }
-#endif /* defined(DEBUG) */
-            return m_data[m_cols * row + col];
-        }
-
-        /**
-         * @brief  Gets rows number of the current array2d.
-         * @return Number of rows.
-         */
-        size_t size(size_t dim)
-        {
-            switch (dim)
-            {
-                case 0:
-                    return m_rows;
-                case 1:
-                    return m_cols;
-                default:
-                    return 0;
-            }
-        }
-
-        /**
-         * @brief Gets the array2d total size.
-         */
-        size_t totalSize()
-        {
-            return m_rows * m_cols;
-        }
-
-        /**
-         * array2d iterator.
-         */
-        using iterator=T*;
-        using const_iterator=T const*;
-
-        iterator begin() { return m_data; }
-        iterator end() { return m_data + totalSize(); }
-        const_iterator begin() const { return m_data; }
-        const_iterator end() const { return m_data + totalSize(); };
-
-    private:
-        size_t m_rows;
-        size_t m_cols;
-        T* m_data;
-    };
-
-} /* namespace app */
-} /* namespace arm */
-
-#endif /* DATA_STRUCTURES_HPP */
\ No newline at end of file
diff --git a/source/application/main/include/ImageUtils.hpp b/source/application/main/include/ImageUtils.hpp
deleted file mode 100644
index a8c7650..0000000
--- a/source/application/main/include/ImageUtils.hpp
+++ /dev/null
@@ -1,116 +0,0 @@
-/*
- * Copyright (c) 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 IMAGE_UTILS_HPP
-#define IMAGE_UTILS_HPP
-
-#include <cstddef>
-#include <cstdint>
-#include <forward_list>
-#include <vector>
-
-/* Helper macro to convert RGB888 to RGB565 format. */
-#define RGB888_TO_RGB565(R8,G8,B8)  ((((R8>>3) & 0x1F) << 11) |     \
-                                     (((G8>>2) & 0x3F) << 5)  |     \
-                                     ((B8>>3) & 0x1F))
-
-constexpr uint16_t COLOR_BLACK  = 0;
-constexpr uint16_t COLOR_GREEN  = RGB888_TO_RGB565(  0, 255,  0); // 2016;
-constexpr uint16_t COLOR_YELLOW = RGB888_TO_RGB565(255, 255,  0); // 65504;
-
-
-namespace arm {
-namespace app {
-namespace image {
-
-    /**
-     * Contains the x,y co-ordinates of a box centre along with the box width and height.
-     */
-    struct Box {
-        float x;
-        float y;
-        float w;
-        float h;
-    };
-
-    struct Detection {
-        Box bbox;
-        std::vector<float> prob;
-        float objectness;
-    };
-
-    /**
-     * @brief       Calculate the 1D overlap.
-     * @param[in]   x1Center   First center point.
-     * @param[in]   width1     First width.
-     * @param[in]   x2Center   Second center point.
-     * @param[in]   width2     Second width.
-     * @return      The overlap between the two lines.
-     **/
-    float Calculate1DOverlap(float x1Center, float width1, float x2Center, float width2);
-
-    /**
-     * @brief       Calculate the intersection between the two given boxes.
-     * @param[in]   box1   First box.
-     * @param[in]   box2   Second box.
-     * @return      The intersection value.
-     **/
-    float CalculateBoxIntersect(Box& box1, Box& box2);
-
-    /**
-     * @brief       Calculate the union between the two given boxes.
-     * @param[in]   box1   First box.
-     * @param[in]   box2   Second box.
-     * @return      The two given boxes union value.
-     **/
-    float CalculateBoxUnion(Box& box1, Box& box2);
-
-    /**
-     * @brief       Calculate the intersection over union between the two given boxes.
-     * @param[in]   box1   First box.
-     * @param[in]   box2   Second box.
-     * @return      The intersection over union value.
-     **/
-    float CalculateBoxIOU(Box& box1, Box& box2);
-
-    /**
-     * @brief       Calculate the Non-Maxima suppression on the given detection boxes.
-     * @param[in]   detections    List of Detection boxes.
-     * @param[in]   classes       Number of classes.
-     * @param[in]   iouThreshold  Intersection over union threshold.
-     **/
-    void CalculateNMS(std::forward_list<Detection>& detections, int classes, float iouThreshold);
-
-    /**
-     * @brief           Helper function to convert a UINT8 image to INT8 format.
-     * @param[in,out]   data            Pointer to the data start.
-     * @param[in]       kMaxImageSize   Total number of pixels in the image.
-     **/
-    void ConvertImgToInt8(void* data, size_t kMaxImageSize);
-
-    /**
-     * @brief       Converts RGB image to grayscale.
-     * @param[in]   srcPtr   Pointer to RGB source image.
-     * @param[out]  dstPtr   Pointer to grayscale destination image.
-     * @param[in]   imgSz    Destination image size.
-     **/
-    void RgbToGrayscale(const uint8_t* srcPtr, uint8_t* dstPtr, size_t dstImgSz);
-
-} /* namespace image */
-} /* namespace app */
-} /* namespace arm */
-
-#endif /* IMAGE_UTILS_HPP */
\ No newline at end of file
diff --git a/source/application/main/include/Mfcc.hpp b/source/application/main/include/Mfcc.hpp
deleted file mode 100644
index 86330ca..0000000
--- a/source/application/main/include/Mfcc.hpp
+++ /dev/null
@@ -1,255 +0,0 @@
-/*
- * 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.
- */
-#ifndef MFCC_HPP
-#define MFCC_HPP
-
-#include "PlatformMath.hpp"
-
-#include <vector>
-#include <cstdint>
-#include <cmath>
-#include <limits>
-#include <string>
-
-namespace arm {
-namespace app {
-namespace audio {
-
-    /* MFCC's consolidated parameters. */
-    class MfccParams {
-    public:
-        float       m_samplingFreq;
-        uint32_t    m_numFbankBins;
-        float       m_melLoFreq;
-        float       m_melHiFreq;
-        uint32_t    m_numMfccFeatures;
-        uint32_t    m_frameLen;
-        uint32_t    m_frameLenPadded;
-        bool        m_useHtkMethod;
-
-        /** @brief  Constructor */
-        MfccParams(float samplingFreq, uint32_t numFbankBins,
-                   float melLoFreq, float melHiFreq,
-                   uint32_t numMfccFeats, uint32_t frameLen,
-                   bool useHtkMethod);
-
-        MfccParams()  = delete;
-
-        ~MfccParams() = default;
-
-        /** @brief  Log parameters */
-        void Log() const;
-    };
-
-    /**
-     * @brief   Class for MFCC feature extraction.
-     *          Based on https://github.com/ARM-software/ML-KWS-for-MCU/blob/master/Deployment/Source/MFCC/mfcc.cpp
-     *          This class is designed to be generic and self-sufficient but
-     *          certain calculation routines can be overridden to accommodate
-     *          use-case specific requirements.
-     */
-    class MFCC {
-    public:
-        /**
-         * @brief       Constructor
-         * @param[in]   params   MFCC parameters
-        */
-        explicit MFCC(const MfccParams& params);
-
-        MFCC() = delete;
-
-        ~MFCC() = default;
-
-        /**
-        * @brief        Extract MFCC  features for one single small frame of
-        *               audio data e.g. 640 samples.
-        * @param[in]    audioData   Vector of audio samples to calculate
-        *                           features for.
-        * @return       Vector of extracted MFCC features.
-        **/
-        std::vector<float> MfccCompute(const std::vector<int16_t>& audioData);
-
-        /** @brief  Initialise. */
-        void Init();
-
-       /**
-        * @brief        Extract MFCC features and quantise for one single small
-        *               frame of audio data e.g. 640 samples.
-        * @param[in]    audioData     Vector of audio samples to calculate
-        *                             features for.
-        * @param[in]    quantScale    Quantisation scale.
-        * @param[in]    quantOffset   Quantisation offset.
-        * @return       Vector of extracted quantised MFCC features.
-        **/
-        template<typename T>
-        std::vector<T> MfccComputeQuant(const std::vector<int16_t>& audioData,
-                                        const float quantScale,
-                                        const int quantOffset)
-        {
-            this->MfccComputePreFeature(audioData);
-            float minVal = std::numeric_limits<T>::min();
-            float maxVal = std::numeric_limits<T>::max();
-
-            std::vector<T> mfccOut(this->m_params.m_numMfccFeatures);
-            const size_t numFbankBins = this->m_params.m_numFbankBins;
-
-            /* Take DCT. Uses matrix mul. */
-            for (size_t i = 0, j = 0; i < mfccOut.size(); ++i, j += numFbankBins) {
-                float sum = 0;
-                for (size_t k = 0; k < numFbankBins; ++k) {
-                    sum += this->m_dctMatrix[j + k] * this->m_melEnergies[k];
-                }
-                /* Quantize to T. */
-                sum = std::round((sum / quantScale) + quantOffset);
-                mfccOut[i] = static_cast<T>(std::min<float>(std::max<float>(sum, minVal), maxVal));
-            }
-
-            return mfccOut;
-        }
-
-        /* Constants */
-        static constexpr float ms_logStep = /*logf(6.4)*/ 1.8562979903656 / 27.0;
-        static constexpr float ms_freqStep = 200.0 / 3;
-        static constexpr float ms_minLogHz = 1000.0;
-        static constexpr float ms_minLogMel = ms_minLogHz / ms_freqStep;
-
-    protected:
-        /**
-         * @brief       Project input frequency to Mel Scale.
-         * @param[in]   freq           Input frequency in floating point.
-         * @param[in]   useHTKMethod   bool to signal if HTK method is to be
-         *                             used for calculation.
-         * @return      Mel transformed frequency in floating point.
-         **/
-        static float MelScale(float freq,
-                              bool  useHTKMethod = true);
-
-        /**
-         * @brief       Inverse Mel transform - convert MEL warped frequency
-         *              back to normal frequency.
-         * @param[in]   melFreq        Mel frequency in floating point.
-         * @param[in]   useHTKMethod   bool to signal if HTK method is to be
-         *                             used for calculation.
-         * @return      Real world frequency in floating point.
-         **/
-        static float InverseMelScale(float melFreq,
-                                     bool  useHTKMethod = true);
-
-        /**
-         * @brief       Populates MEL energies after applying the MEL filter
-         *              bank weights and adding them up to be placed into
-         *              bins, according to the filter bank's first and last
-         *              indices (pre-computed for each filter bank element
-         *              by CreateMelFilterBank function).
-         * @param[in]   fftVec                  Vector populated with FFT magnitudes.
-         * @param[in]   melFilterBank           2D Vector with filter bank weights.
-         * @param[in]   filterBankFilterFirst   Vector containing the first indices of filter bank
-         *                                      to be used for each bin.
-         * @param[in]   filterBankFilterLast    Vector containing the last indices of filter bank
-         *                                      to be used for each bin.
-         * @param[out]  melEnergies             Pre-allocated vector of MEL energies to be
-         *                                      populated.
-         * @return      true if successful, false otherwise.
-         */
-        virtual bool ApplyMelFilterBank(
-            std::vector<float>&                 fftVec,
-            std::vector<std::vector<float>>&    melFilterBank,
-            std::vector<uint32_t>&               filterBankFilterFirst,
-            std::vector<uint32_t>&               filterBankFilterLast,
-            std::vector<float>&                 melEnergies);
-
-        /**
-         * @brief           Converts the Mel energies for logarithmic scale.
-         * @param[in,out]   melEnergies   1D vector of Mel energies.
-         **/
-        virtual void ConvertToLogarithmicScale(std::vector<float>& melEnergies);
-
-        /**
-         * @brief       Create a matrix used to calculate Discrete Cosine
-         *              Transform.
-         * @param[in]   inputLength        Input length of the buffer on which
-         *                                 DCT will be performed.
-         * @param[in]   coefficientCount   Total coefficients per input length.
-         * @return      1D vector with inputLength x coefficientCount elements
-         *              populated with DCT coefficients.
-         */
-        virtual std::vector<float> CreateDCTMatrix(
-                                    int32_t inputLength,
-                                    int32_t coefficientCount);
-
-        /**
-         * @brief       Given the low and high Mel values, get the normaliser
-         *              for weights to be applied when populating the filter
-         *              bank.
-         * @param[in]   leftMel        Low Mel frequency value.
-         * @param[in]   rightMel       High Mel frequency value.
-         * @param[in]   useHTKMethod   bool to signal if HTK method is to be
-         *                             used for calculation.
-         * @return      Value to use for normalizing.
-         */
-        virtual float GetMelFilterBankNormaliser(
-                        const float&   leftMel,
-                        const float&   rightMel,
-                        bool     useHTKMethod);
-
-    private:
-        MfccParams                      m_params;
-        std::vector<float>              m_frame;
-        std::vector<float>              m_buffer;
-        std::vector<float>              m_melEnergies;
-        std::vector<float>              m_windowFunc;
-        std::vector<std::vector<float>> m_melFilterBank;
-        std::vector<float>              m_dctMatrix;
-        std::vector<uint32_t>           m_filterBankFilterFirst;
-        std::vector<uint32_t>           m_filterBankFilterLast;
-        bool                            m_filterBankInitialised;
-        arm::app::math::FftInstance     m_fftInstance;
-
-        /**
-         * @brief       Initialises the filter banks and the DCT matrix. **/
-        void InitMelFilterBank();
-
-        /**
-         * @brief       Signals whether the instance of MFCC has had its
-         *              required buffers initialised.
-         * @return      true if initialised, false otherwise.
-         **/
-        bool IsMelFilterBankInited() const;
-
-        /**
-         * @brief       Create mel filter banks for MFCC calculation.
-         * @return      2D vector of floats.
-         **/
-        std::vector<std::vector<float>> CreateMelFilterBank();
-
-        /**
-         * @brief       Computes and populates internal memeber buffers used
-         *              in MFCC feature calculation
-         * @param[in]   audioData   1D vector of 16-bit audio data.
-         */
-        void MfccComputePreFeature(const std::vector<int16_t>& audioData);
-
-        /** @brief       Computes the magnitude from an interleaved complex array. */
-        void ConvertToPowerSpectrum();
-
-    };
-
-} /* namespace audio */
-} /* namespace app */
-} /* namespace arm */
-
-#endif /* MFCC_HPP */
\ No newline at end of file
diff --git a/source/application/main/include/UseCaseCommonUtils.hpp b/source/application/main/include/UseCaseCommonUtils.hpp
index 9b6d550..b0f2e7a 100644
--- a/source/application/main/include/UseCaseCommonUtils.hpp
+++ b/source/application/main/include/UseCaseCommonUtils.hpp
@@ -24,6 +24,7 @@
 #include "UseCaseHandler.hpp"       /* Handlers for different user options. */
 #include "Classifier.hpp"           /* Classifier. */
 #include "InputFiles.hpp"
+#include "BufAttributes.hpp"        /* Buffer attributes */
 
 
 void DisplayCommonMenu();