diff options
Diffstat (limited to 'source/use_case/asr/include')
| -rw-r--r-- | source/use_case/asr/include/AsrClassifier.hpp | 62 | ||||
| -rw-r--r-- | source/use_case/asr/include/AsrResult.hpp | 63 | ||||
| -rw-r--r-- | source/use_case/asr/include/OutputDecode.hpp | 40 | ||||
| -rw-r--r-- | source/use_case/asr/include/UseCaseHandler.hpp | 37 | ||||
| -rw-r--r-- | source/use_case/asr/include/Wav2LetterMfcc.hpp | 109 | ||||
| -rw-r--r-- | source/use_case/asr/include/Wav2LetterModel.hpp | 61 | ||||
| -rw-r--r-- | source/use_case/asr/include/Wav2LetterPostprocess.hpp | 109 | ||||
| -rw-r--r-- | source/use_case/asr/include/Wav2LetterPreprocess.hpp | 203 |
8 files changed, 684 insertions, 0 deletions
diff --git a/source/use_case/asr/include/AsrClassifier.hpp b/source/use_case/asr/include/AsrClassifier.hpp new file mode 100644 index 0000000..1a63814 --- /dev/null +++ b/source/use_case/asr/include/AsrClassifier.hpp @@ -0,0 +1,62 @@ +/* + * 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 ASR_CLASSIFIER_HPP +#define ASR_CLASSIFIER_HPP + +#include "Classifier.hpp" + +namespace arm { +namespace app { + + class AsrClassifier : public Classifier { + public: + /** + * @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. + * @return true if successful, false otherwise. + **/ + bool GetClassificationResults( + TfLiteTensor* outputTensor, + std::vector<ClassificationResult>& vecResults, + const std::vector <std::string>& labels, uint32_t topNCount) override; + + private: + /** + * @brief Utility function that gets the top 1 classification results from the + * output tensor (vector of vector). + * @param[in] tensor Inference output tensor from an NN model. + * @param[out] vecResults Vector of classification results populated by this function. + * @param[in] labels Labels vector to match classified classes. + * @param[in] scale Quantization scale. + * @param[in] zeroPoint Quantization zero point. + * @return true if successful, false otherwise. + **/ + template<typename T> + bool _GetTopResults(TfLiteTensor* tensor, + std::vector<ClassificationResult>& vecResults, + const std::vector <std::string>& labels, double scale, double zeroPoint); + }; + +} /* namespace app */ +} /* namespace arm */ + +#endif /* ASR_CLASSIFIER_HPP */
\ No newline at end of file diff --git a/source/use_case/asr/include/AsrResult.hpp b/source/use_case/asr/include/AsrResult.hpp new file mode 100644 index 0000000..b12ed7d --- /dev/null +++ b/source/use_case/asr/include/AsrResult.hpp @@ -0,0 +1,63 @@ +/* + * 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 ASR_RESULT_HPP +#define ASR_RESULT_HPP + +#include "ClassificationResult.hpp" + +#include <vector> + +namespace arm { +namespace app { +namespace asr { + + using ResultVec = std::vector < arm::app::ClassificationResult >; + + /* Structure for holding ASR result. */ + class AsrResult { + + public: + ResultVec m_resultVec; /* Container for "thresholded" classification results. */ + float m_timeStamp; /* Audio timestamp for this result. */ + uint32_t m_inferenceNumber; /* Corresponding inference number. */ + float m_threshold; /* Threshold value for `m_resultVec.` */ + + AsrResult() = delete; + AsrResult(ResultVec& resultVec, + const float timestamp, + const uint32_t inferenceIdx, + const float scoreThreshold) { + + this->m_threshold = scoreThreshold; + this->m_timeStamp = timestamp; + this->m_inferenceNumber = inferenceIdx; + + this->m_resultVec = ResultVec(); + for (auto& i : resultVec) { + if (i.m_normalisedVal >= this->m_threshold) { + this->m_resultVec.emplace_back(i); + } + } + } + ~AsrResult() = default; + }; + +} /* namespace asr */ +} /* namespace app */ +} /* namespace arm */ + +#endif /* ASR_RESULT_HPP */
\ No newline at end of file diff --git a/source/use_case/asr/include/OutputDecode.hpp b/source/use_case/asr/include/OutputDecode.hpp new file mode 100644 index 0000000..6095531 --- /dev/null +++ b/source/use_case/asr/include/OutputDecode.hpp @@ -0,0 +1,40 @@ +/* + * 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 ASR_OUTPUT_DECODE_HPP +#define ASR_OUTPUT_DECODE_HPP + +#include "AsrClassifier.hpp" + +namespace arm { +namespace app { +namespace audio { +namespace asr { + + /** + * @brief Gets the top N classification results from the + * output vector. + * @param[in] tensor Label output from classifier. + * @return true if successful, false otherwise. + **/ + std::string DecodeOutput(const std::vector<ClassificationResult>& vecResults); + +} /* namespace asr */ +} /* namespace audio */ +} /* namespace app */ +} /* namespace arm */ + +#endif /* ASR_OUTPUT_DECODE_HPP */
\ No newline at end of file diff --git a/source/use_case/asr/include/UseCaseHandler.hpp b/source/use_case/asr/include/UseCaseHandler.hpp new file mode 100644 index 0000000..75052c7 --- /dev/null +++ b/source/use_case/asr/include/UseCaseHandler.hpp @@ -0,0 +1,37 @@ +/* + * 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 ASR_EVT_HANDLER_HPP +#define ASR_EVT_HANDLER_HPP + +#include "AppContext.hpp" + +namespace arm { +namespace app { + + /** + * @brief Handles the inference event. + * @param[in] ctx Pointer to the application context. + * @param[in] clipIndex Index to the audio clip to classify. + * @param[in] runAll Flag to request classification of all the available audio clips. + * @return true or false based on execution success. + **/ + bool ClassifyAudioHandler(ApplicationContext& ctx, uint32_t clipIndex, bool runAll); + +} /* namespace app */ +} /* namespace arm */ + +#endif /* ASR_EVT_HANDLER_HPP */ diff --git a/source/use_case/asr/include/Wav2LetterMfcc.hpp b/source/use_case/asr/include/Wav2LetterMfcc.hpp new file mode 100644 index 0000000..3cb43b9 --- /dev/null +++ b/source/use_case/asr/include/Wav2LetterMfcc.hpp @@ -0,0 +1,109 @@ +/* + * 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 ASR_WAV2LETTER_MFCC_HPP +#define ASR_WAV2LETTER_MFCC_HPP + +#include "Mfcc.hpp" + +namespace arm { +namespace app { +namespace audio { + + /* Class to provide Wav2Letter specific MFCC calculation requirements. */ + class Wav2LetterMFCC : public MFCC { + + public: + static constexpr uint32_t ms_defaultSamplingFreq = 16000; + static constexpr uint32_t ms_defaultNumFbankBins = 128; + static constexpr uint32_t ms_defaultMelLoFreq = 0; + static constexpr uint32_t ms_defaultMelHiFreq = 8000; + static constexpr bool ms_defaultUseHtkMethod = false; + + explicit Wav2LetterMFCC(const size_t numFeats, const size_t frameLen) + : MFCC(MfccParams( + ms_defaultSamplingFreq, ms_defaultNumFbankBins, + ms_defaultMelLoFreq, ms_defaultMelHiFreq, + numFeats, frameLen, ms_defaultUseHtkMethod)) + {} + + Wav2LetterMFCC() = delete; + ~Wav2LetterMFCC() = default; + + protected: + + /** + * @brief Overrides base class implementation of this 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 + */ + bool ApplyMelFilterBank( + std::vector<float>& fftVec, + std::vector<std::vector<float>>& melFilterBank, + std::vector<int32_t>& filterBankFilterFirst, + std::vector<int32_t>& filterBankFilterLast, + std::vector<float>& melEnergies) override; + + /** + * @brief Override for the base class implementation convert mel + * energies to logarithmic scale. The difference from + * default behaviour is that the power is converted to dB + * and subsequently clamped. + * @param[in,out] melEnergies 1D vector of Mel energies + **/ + void ConvertToLogarithmicScale(std::vector<float>& melEnergies) override; + + /** + * @brief Create a matrix used to calculate Discrete Cosine + * Transform. Override for the base class' default + * implementation as the first and last elements + * use a different normaliser. + * @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. + */ + std::vector<float> CreateDCTMatrix(int32_t inputLength, + int32_t coefficientCount) override; + + /** + * @brief Given the low and high Mel values, get the normaliser + * for weights to be applied when populating the filter + * bank. Override for the base class implementation. + * @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 normalising. + */ + float GetMelFilterBankNormaliser(const float& leftMel, + const float& rightMel, + bool useHTKMethod) override; + }; + +} /* namespace audio */ +} /* namespace app */ +} /* namespace arm */ + +#endif /* ASR_WAV2LETTER_MFCC_HPP */
\ No newline at end of file diff --git a/source/use_case/asr/include/Wav2LetterModel.hpp b/source/use_case/asr/include/Wav2LetterModel.hpp new file mode 100644 index 0000000..b801e10 --- /dev/null +++ b/source/use_case/asr/include/Wav2LetterModel.hpp @@ -0,0 +1,61 @@ +/* + * Copyright (c) 2021 Arm Limited. All rights reserved.rved. + * 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_MODEL_HPP +#define ASR_WAV2LETTER_MODEL_HPP + +#include "Model.hpp" + +extern const int g_FrameLength; +extern const int g_FrameStride; +extern const float g_ScoreThreshold; +extern const int g_ctxLen; + +namespace arm { +namespace app { + + class Wav2LetterModel : public Model { + + public: + /* Indices for the expected model - based on input and output tensor shapes */ + static constexpr uint32_t ms_inputRowsIdx = 1; + static constexpr uint32_t ms_inputColsIdx = 2; + static constexpr uint32_t ms_outputRowsIdx = 2; + static constexpr uint32_t ms_outputColsIdx = 3; + + protected: + /** @brief Gets the reference to op resolver interface class. */ + const tflite::MicroOpResolver& GetOpResolver() override; + + /** @brief Adds operations to the op resolver instance. */ + bool EnlistOperations() override; + + const uint8_t* ModelPointer() override; + + size_t ModelSize() override; + + private: + /* Maximum number of individual operations that can be enlisted. */ + static constexpr int _ms_maxOpCnt = 5; + + /* A mutable op resolver instance. */ + tflite::MicroMutableOpResolver<_ms_maxOpCnt> _m_opResolver; + }; + +} /* namespace app */ +} /* namespace arm */ + +#endif /* ASR_WAV2LETTER_MODEL_HPP */ diff --git a/source/use_case/asr/include/Wav2LetterPostprocess.hpp b/source/use_case/asr/include/Wav2LetterPostprocess.hpp new file mode 100644 index 0000000..69567a3 --- /dev/null +++ b/source/use_case/asr/include/Wav2LetterPostprocess.hpp @@ -0,0 +1,109 @@ +/* + * 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 ASR_WAV2LETTER_POSTPROCESS_HPP +#define ASR_WAV2LETTER_POSTPROCESS_HPP + +#include "TensorFlowLiteMicro.hpp" /* TensorFlow headers. */ +#include "hal.h" /* stdout facility. */ + +namespace arm { +namespace app { +namespace audio { +namespace asr { + + /** + * @brief Helper class to manage tensor post-processing for "wav2letter" + * output. + */ + class Postprocess { + public: + /** + * @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. + **/ + Postprocess(uint32_t contextLen, + uint32_t innerLen, + uint32_t blankTokenIdx); + + Postprocess() = delete; + ~Postprocess() = default; + + /** + * @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); + + 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, + 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. + */ + 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); + + /** + * @brief Erases sections from the data assuming col-wise + * arrangement along the context axis. + * @return true if successful, false otherwise. + */ + bool _EraseSectionsColWise(uint8_t* ptrData, + uint32_t strideSzBytes, + bool lastIteration); + }; + +} /* namespace asr */ +} /* namespace audio */ +} /* namespace app */ +} /* namespace arm */ + +#endif /* ASR_WAV2LETTER_POSTPROCESS_HPP */
\ No newline at end of file diff --git a/source/use_case/asr/include/Wav2LetterPreprocess.hpp b/source/use_case/asr/include/Wav2LetterPreprocess.hpp new file mode 100644 index 0000000..8a4e0b7 --- /dev/null +++ b/source/use_case/asr/include/Wav2LetterPreprocess.hpp @@ -0,0 +1,203 @@ +/* + * 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 ASR_WAV2LETTER_PREPROCESS_HPP +#define ASR_WAV2LETTER_PREPROCESS_HPP + +#include "Wav2LetterModel.hpp" +#include "Wav2LetterMfcc.hpp" +#include "AudioUtils.hpp" +#include "DataStructures.hpp" + +namespace arm { +namespace app { +namespace audio { +namespace asr { + + /* Class to facilitate pre-processing calculation for Wav2Letter model + * for ASR. */ + using AudioWindow = SlidingWindow <const int16_t>; + + class Preprocess { + public: + /** + * @brief Constructor. + * @param[in] numMfccFeatures Number of MFCC features per window. + * @param[in] windowLen Number of elements in a window. + * @param[in] windowStride Stride (in number of elements) for + * moving the window. + * @param[in] numMfccVectors Number of MFCC vectors per window. + */ + Preprocess( + uint32_t numMfccFeatures, + uint32_t windowLen, + uint32_t windowStride, + uint32_t numMfccVectors); + Preprocess() = delete; + ~Preprocess() = default; + + /** + * @brief Calculates the features required from audio data. This + * includes MFCC, first and second order deltas, + * normalisation and finally, quantisation. The tensor is + * populated with feature from a given window placed along + * in a single row. + * @param[in] audioData Pointer to the first element of audio data. + * @param[in] audioDataLen Number of elements in the audio data. + * @param[in] tensor Tensor to be populated. + * @return true if successful, false in case of error. + */ + bool Invoke(const int16_t * audioData, + uint32_t audioDataLen, + TfLiteTensor * tensor); + + protected: + /** + * @brief Computes the first and second order deltas for the + * MFCC buffers - they are assumed to be populated. + * + * @param[in] mfcc MFCC buffers. + * @param[out] delta1 Result of the first diff computation. + * @param[out] delta2 Result of the second diff computation. + * @return true if successful, false otherwise. + */ + static bool _ComputeDeltas(Array2d<float>& mfcc, + Array2d<float>& delta1, + Array2d<float>& delta2); + + /** + * @brief Given a 2D vector of floats, computes the mean. + * @param[in] vec Vctor of vector of floats. + * @return Mean value. + */ + static float _GetMean(Array2d<float>& vec); + + /** + * @brief Given a 2D vector of floats, computes the stddev. + * @param[in] vec Vector of vector of floats. + * @param[in] mean Mean value of the vector passed in. + * @return stddev value. + */ + static float _GetStdDev(Array2d<float>& vec, + float mean); + + /** + * @brief Given a 2D vector of floats, normalises it using + * the mean and the stddev. + * @param[in,out] vec Vector of vector of floats. + */ + static void _NormaliseVec(Array2d<float>& vec); + + /** + * @brief Normalises the MFCC and delta buffers. + */ + void _Normalise(); + + /** + * @brief Given the quantisation and data type limits, computes + * the quantised values of a floating point input data. + * @param[in] elem Element to be quantised. + * @param[in] quantScale Scale. + * @param[in] quantOffset Offset. + * @param[in] minVal Numerical limit - minimum. + * @param[in] maxVal Numerical limit - maximum. + * @return Floating point quantised value. + */ + static float _GetQuantElem( + float elem, + float quantScale, + int quantOffset, + float minVal, + float maxVal); + + /** + * @brief Quantises the MFCC and delta buffers, and places them + * in the output buffer. While doing so, it transposes + * the data. Reason: Buffers in this class are arranged + * for "time" axis to be row major. Primary reason for + * this being the convolution speed up (as we can use + * contiguous memory). The output, however, requires the + * time axis to be in column major arrangement. + * @param[in] outputBuf Pointer to the output buffer. + * @param[in] outputBufSz Output buffer's size. + * @param[in] quantScale Quantisation scale. + * @param[in] quantOffset Quantisation offset. + */ + template <typename T> + bool _Quantise( + T * outputBuf, + const uint32_t outputBufSz, + const float quantScale, + const int quantOffset) + { + /* Check the output size will fit everything. */ + if (outputBufSz < (this->_m_mfccBuf.size(0) * 3 * sizeof(T))) { + printf_err("Tensor size too small for features\n"); + return false; + } + + /* Populate. */ + 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(); + const float maxVal = std::numeric_limits<T>::max(); + + /* Need to transpose while copying and concatenating the tensor. */ + for (uint32_t j = 0; j < this->_m_numFeatVectors; ++j) { + for (uint32_t i = 0; i < this->_m_numMfccFeats; ++i) { + *outputBufMfcc++ = static_cast<T>(Preprocess::_GetQuantElem( + this->_m_mfccBuf(i, j), quantScale, + quantOffset, minVal, maxVal)); + *outputBufD1++ = static_cast<T>(Preprocess::_GetQuantElem( + this->_m_delta1Buf(i, j), quantScale, + quantOffset, minVal, maxVal)); + *outputBufD2++ = static_cast<T>(Preprocess::_GetQuantElem( + this->_m_delta2Buf(i, j), quantScale, + quantOffset, minVal, maxVal)); + } + outputBufMfcc += ptrIncr; + outputBufD1 += ptrIncr; + outputBufD2 += ptrIncr; + } + + return true; + } + + private: + Wav2LetterMFCC _m_mfcc; /* MFCC instance. */ + + /* Actual buffers to be populated. */ + Array2d<float> _m_mfccBuf; /* Contiguous buffer 1D: MFCC */ + Array2d<float> _m_delta1Buf; /* Contiguous buffer 1D: Delta 1 */ + Array2d<float> _m_delta2Buf; /* Contiguous buffer 1D: Delta 2 */ + + uint32_t _m_windowLen; /* Window length for MFCC. */ + uint32_t _m_windowStride; /* Window stride len for MFCC. */ + uint32_t _m_numMfccFeats; /* Number of MFCC features per window. */ + uint32_t _m_numFeatVectors; /* Number of _m_numMfccFeats. */ + AudioWindow _m_window; /* Sliding window. */ + + }; + +} /* namespace asr */ +} /* namespace audio */ +} /* namespace app */ +} /* namespace arm */ + +#endif /* ASR_WAV2LETTER_PREPROCESS_HPP */
\ No newline at end of file |