George Gekov | 23c2627 | 2021-08-16 11:32:10 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2022 Arm Ltd and Contributors. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | #ifndef SPEECH_RECOGNITION_EXAMPLE_WAV2LETTERPREPROCESSOR_HPP |
| 6 | #define SPEECH_RECOGNITION_EXAMPLE_WAV2LETTERPREPROCESSOR_HPP |
| 7 | |
| 8 | #include <numeric> |
| 9 | #include "DataStructures.hpp" |
| 10 | #include "SlidingWindow.hpp" |
| 11 | #include "MFCC.hpp" |
| 12 | #include "Wav2LetterMFCC.hpp" |
| 13 | // Class to facilitate pre-processing calculation for Wav2Letter model for ASR |
| 14 | using AudioWindow = SlidingWindow<const float>; |
| 15 | |
| 16 | class Wav2LetterPreprocessor |
| 17 | { |
| 18 | public: |
| 19 | Wav2LetterPreprocessor(uint32_t windowLen, uint32_t windowStride, |
| 20 | std::unique_ptr<Wav2LetterMFCC> mfccInst); |
| 21 | |
| 22 | /** |
| 23 | * @brief Calculates the features required from audio data. This |
| 24 | * includes MFCC, first and second order deltas, |
| 25 | * normalisation and finally, quantisation. The tensor is |
| 26 | * populated with feature from a given window placed along |
| 27 | * in a single row. |
| 28 | * @param[in] audioData pointer to the first element of audio data |
| 29 | * @param[in] audioDataLen number of elements in the audio data |
| 30 | * @param[in] tensor tensor to be populated |
| 31 | * @return true if successful, false in case of error. |
| 32 | */ |
| 33 | bool Invoke(const float* audioData, uint32_t audioDataLen, std::vector<int8_t>& output, int quantOffset, |
| 34 | float quantScale); |
| 35 | |
| 36 | std::unique_ptr<MFCC> m_mfcc; |
| 37 | |
| 38 | // Actual buffers to be populated |
| 39 | Array2d<float> m_mfccBuf; // Contiguous buffer 1D: MFCC |
| 40 | Array2d<float> m_delta1Buf; // Contiguous buffer 1D: Delta 1 |
| 41 | Array2d<float> m_delta2Buf; // Contiguous buffer 1D: Delta 2 |
| 42 | |
| 43 | uint32_t m_windowLen; // Window length for MFCC |
| 44 | uint32_t m_windowStride; // Window stride len for MFCC |
| 45 | AudioWindow m_window; // Sliding window |
| 46 | |
| 47 | protected: |
| 48 | /** |
| 49 | * @brief Computes the first and second order deltas for the |
| 50 | * MFCC buffers - they are assumed to be populated. |
| 51 | * |
| 52 | * @param[in] mfcc MFCC buffers |
| 53 | * @param[out] delta1 result of the first diff computation |
| 54 | * @param[out] delta2 result of the second diff computation |
| 55 | * |
| 56 | * @return true if successful, false otherwise |
| 57 | */ |
| 58 | static bool ComputeDeltas(Array2d<float>& mfcc, |
| 59 | Array2d<float>& delta1, |
| 60 | Array2d<float>& delta2); |
| 61 | |
| 62 | protected: |
| 63 | |
| 64 | /** |
| 65 | * @brief Given a 2D vector of floats, computes the mean |
| 66 | * @param[in] vec vector of vector of floats |
| 67 | * @return mean value |
| 68 | */ |
| 69 | static float GetMean(Array2d<float>& vec); |
| 70 | |
| 71 | /** |
| 72 | * @brief Given a 2D vector of floats, computes the stddev |
| 73 | * @param[in] vec vector of vector of floats |
| 74 | * @param[in] mean mean value of the vector passed in |
| 75 | * @return stddev value |
| 76 | */ |
| 77 | static float GetStdDev(Array2d<float>& vec, float mean); |
| 78 | |
| 79 | /** |
| 80 | * @brief Given a 2D vector of floats, normalises it using |
| 81 | * the mean and the stddev |
| 82 | * @param[in/out] vec vector of vector of floats |
| 83 | * @return |
| 84 | */ |
| 85 | static void NormaliseVec(Array2d<float>& vec); |
| 86 | |
| 87 | /** |
| 88 | * @brief Normalises the MFCC and delta buffers |
| 89 | * @return |
| 90 | */ |
| 91 | void Normalise(); |
| 92 | |
| 93 | /** |
| 94 | * @brief Given the quantisation and data type limits, computes |
| 95 | * the quantised values of a floating point input data. |
| 96 | * @param[in] elem Element to be quantised |
| 97 | * @param[in] quantScale Scale |
| 98 | * @param[in] quantOffset Offset |
| 99 | * @param[in] minVal Numerical limit - minimum |
| 100 | * @param[in] maxVal Numerical limit - maximum |
| 101 | * @return floating point quantised value |
| 102 | */ |
| 103 | static float GetQuantElem( |
| 104 | float elem, |
| 105 | float quantScale, |
| 106 | int quantOffset, |
| 107 | float minVal, |
| 108 | float maxVal); |
| 109 | |
| 110 | /** |
| 111 | * @brief Quantises the MFCC and delta buffers, and places them |
| 112 | * in the output buffer. While doing so, it transposes |
| 113 | * the data. Reason: Buffers in this class are arranged |
| 114 | * for "time" axis to be row major. Primary reason for |
| 115 | * this being the convolution speed up (as we can use |
| 116 | * contiguous memory). The output, however, requires the |
| 117 | * time axis to be in column major arrangement. |
| 118 | * @param[in] outputBuf pointer to the output buffer |
| 119 | * @param[in] outputBufSz output buffer's size |
| 120 | * @param[in] quantScale quantisation scale |
| 121 | * @param[in] quantOffset quantisation offset |
| 122 | */ |
| 123 | template<typename T> |
| 124 | bool Quantise(T*outputBuf, int quantOffset, float quantScale) |
| 125 | { |
| 126 | // Populate |
| 127 | T* outputBufMfcc = outputBuf; |
| 128 | T* outputBufD1 = outputBuf + this->m_mfcc->m_params.m_numMfccFeatures; |
| 129 | T* outputBufD2 = outputBufD1 + this->m_mfcc->m_params.m_numMfccFeatures; |
| 130 | const uint32_t ptrIncr = this->m_mfcc->m_params.m_numMfccFeatures * 2; // (3 vectors - 1 vector) |
| 131 | |
| 132 | const float minVal = std::numeric_limits<T>::min(); |
| 133 | const float maxVal = std::numeric_limits<T>::max(); |
| 134 | |
| 135 | // We need to do a transpose while copying and concatenating the tensor |
| 136 | for (uint32_t j = 0; j < this->m_mfcc->m_params.m_numMfccVectors; ++j) |
| 137 | { |
| 138 | for (uint32_t i = 0; i < this->m_mfcc->m_params.m_numMfccFeatures; ++i) |
| 139 | { |
| 140 | *outputBufMfcc++ = static_cast<T>(Wav2LetterPreprocessor::GetQuantElem( |
| 141 | this->m_mfccBuf(i, j), quantScale, |
| 142 | quantOffset, minVal, maxVal)); |
| 143 | *outputBufD1++ = static_cast<T>(Wav2LetterPreprocessor::GetQuantElem( |
| 144 | this->m_delta1Buf(i, j), quantScale, |
| 145 | quantOffset, minVal, maxVal)); |
| 146 | *outputBufD2++ = static_cast<T>(Wav2LetterPreprocessor::GetQuantElem( |
| 147 | this->m_delta2Buf(i, j), quantScale, |
| 148 | quantOffset, minVal, maxVal)); |
| 149 | } |
| 150 | outputBufMfcc += ptrIncr; |
| 151 | outputBufD1 += ptrIncr; |
| 152 | outputBufD2 += ptrIncr; |
| 153 | } |
| 154 | return true; |
| 155 | } |
| 156 | }; |
| 157 | |
| 158 | #endif //SPEECH_RECOGNITION_EXAMPLE_WAV2LETTERPREPROCESSOR_HPP |