MLECO-3174: Minor refactoring to implemented use case APIS

Looks large but it is mainly just many small adjustments
Removed the inference runner code as it wasn't used
Fixes to doc strings
Consistent naming e.g. Asr/Kws instead of ASR/KWS

Signed-off-by: Richard Burton <richard.burton@arm.com>
Change-Id: I43b620b5c51d7910a29a63b509ac4d8a82c3a8fc

1 files changed, 14 insertions, 14 deletions

diff --git a/source/use_case/asr/include/Wav2LetterPreprocess.hpp b/source/use_case/asr/include/Wav2LetterPreprocess.hpp
index 8c12b3d..dc9a415 100644
--- a/source/use_case/asr/include/Wav2LetterPreprocess.hpp
+++ b/source/use_case/asr/include/Wav2LetterPreprocess.hpp
@@ -31,22 +31,22 @@ namespace app {
      * for ASR. */
     using AudioWindow = audio::SlidingWindow<const int16_t>;
 
-    class ASRPreProcess : public BasePreProcess {
+    class AsrPreProcess : public BasePreProcess {
     public:
         /**
          * @brief       Constructor.
          * @param[in]   inputTensor        Pointer to the TFLite Micro input Tensor.
          * @param[in]   numMfccFeatures    Number of MFCC features per window.
+         * @param[in]   numFeatureFrames   Number of MFCC vectors that need to be calculated
+         *                                 for an inference.
          * @param[in]   mfccWindowLen      Number of audio elements to calculate MFCC features per window.
          * @param[in]   mfccWindowStride   Stride (in number of elements) for moving the MFCC window.
-         * @param[in]   mfccWindowStride   Number of MFCC vectors that need to be calculated
-         *                                 for an inference.
          */
-        ASRPreProcess(TfLiteTensor* inputTensor,
-                uint32_t  numMfccFeatures,
-                uint32_t  audioWindowLen,
-                uint32_t  mfccWindowLen,
-                uint32_t  mfccWindowStride);
+        AsrPreProcess(TfLiteTensor* inputTensor,
+                      uint32_t  numMfccFeatures,
+                      uint32_t  numFeatureFrames,
+                      uint32_t  mfccWindowLen,
+                      uint32_t  mfccWindowStride);
 
         /**
          * @brief       Calculates the features required from audio data. This
@@ -130,9 +130,9 @@ namespace app {
             }
 
             /* Populate. */
-            T * outputBufMfcc = outputBuf;
-            T * outputBufD1 = outputBuf + this->m_numMfccFeats;
-            T * outputBufD2 = outputBufD1 + this->m_numMfccFeats;
+            T* outputBufMfcc = outputBuf;
+            T* outputBufD1 = outputBuf + this->m_numMfccFeats;
+            T* outputBufD2 = outputBufD1 + this->m_numMfccFeats;
             const uint32_t ptrIncr = this->m_numMfccFeats * 2;  /* (3 vectors - 1 vector) */
 
             const float minVal = std::numeric_limits<T>::min();
@@ -141,13 +141,13 @@ namespace app {
             /* Need to transpose while copying and concatenating the tensor. */
             for (uint32_t j = 0; j < this->m_numFeatureFrames; ++j) {
                 for (uint32_t i = 0; i < this->m_numMfccFeats; ++i) {
-                    *outputBufMfcc++ = static_cast<T>(ASRPreProcess::GetQuantElem(
+                    *outputBufMfcc++ = static_cast<T>(AsrPreProcess::GetQuantElem(
                             this->m_mfccBuf(i, j), quantScale,
                             quantOffset, minVal, maxVal));
-                    *outputBufD1++ = static_cast<T>(ASRPreProcess::GetQuantElem(
+                    *outputBufD1++ = static_cast<T>(AsrPreProcess::GetQuantElem(
                             this->m_delta1Buf(i, j), quantScale,
                             quantOffset, minVal, maxVal));
-                    *outputBufD2++ = static_cast<T>(ASRPreProcess::GetQuantElem(
+                    *outputBufD2++ = static_cast<T>(AsrPreProcess::GetQuantElem(
                             this->m_delta2Buf(i, j), quantScale,
                             quantOffset, minVal, maxVal));
                 }