| /* |
| * 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 RNNOISE_PROCESSING_HPP |
| #define RNNOISE_PROCESSING_HPP |
| |
| #include "BaseProcessing.hpp" |
| #include "Model.hpp" |
| #include "RNNoiseFeatureProcessor.hpp" |
| |
| namespace arm { |
| namespace app { |
| |
| /** |
| * @brief Pre-processing class for Noise Reduction use case. |
| * Implements methods declared by BasePreProcess and anything else needed |
| * to populate input tensors ready for inference. |
| */ |
| class RNNoisePreProcess : public BasePreProcess { |
| |
| public: |
| /** |
| * @brief Constructor |
| * @param[in] inputTensor Pointer to the TFLite Micro input Tensor. |
| * @param[in/out] featureProcessor RNNoise specific feature extractor object. |
| * @param[in/out] frameFeatures RNNoise specific features shared between pre & post-processing. |
| * |
| **/ |
| explicit RNNoisePreProcess(TfLiteTensor* inputTensor, |
| std::shared_ptr<rnn::RNNoiseFeatureProcessor> featureProcessor, |
| std::shared_ptr<rnn::FrameFeatures> frameFeatures); |
| |
| /** |
| * @brief Should perform pre-processing of 'raw' input audio 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. |
| **/ |
| bool DoPreProcess(const void* input, size_t inputSize) override; |
| |
| private: |
| TfLiteTensor* m_inputTensor; /* Model input tensor. */ |
| std::shared_ptr<rnn::RNNoiseFeatureProcessor> m_featureProcessor; /* RNNoise feature processor shared between pre & post-processing. */ |
| std::shared_ptr<rnn::FrameFeatures> m_frameFeatures; /* RNNoise features shared between pre & post-processing. */ |
| rnn::vec1D32F m_audioFrame; /* Audio frame cast to FP32 */ |
| |
| /** |
| * @brief Quantize the given features and populate the input Tensor. |
| * @param[in] inputFeatures Vector of floating point features to quantize. |
| * @param[in] quantScale Quantization scale for the inputTensor. |
| * @param[in] quantOffset Quantization offset for the inputTensor. |
| * @param[in,out] inputTensor TFLite micro tensor to populate. |
| **/ |
| static void QuantizeAndPopulateInput(rnn::vec1D32F& inputFeatures, |
| float quantScale, int quantOffset, |
| TfLiteTensor* inputTensor); |
| }; |
| |
| /** |
| * @brief Post-processing class for Noise Reduction use case. |
| * Implements methods declared by BasePostProcess and anything else needed |
| * to populate result vector. |
| */ |
| class RNNoisePostProcess : public BasePostProcess { |
| |
| public: |
| /** |
| * @brief Constructor |
| * @param[in] outputTensor Pointer to the TFLite Micro output Tensor. |
| * @param[out] denoisedAudioFrame Vector to store the final denoised audio frame. |
| * @param[in/out] featureProcessor RNNoise specific feature extractor object. |
| * @param[in/out] frameFeatures RNNoise specific features shared between pre & post-processing. |
| **/ |
| RNNoisePostProcess(TfLiteTensor* outputTensor, |
| std::vector<int16_t>& denoisedAudioFrame, |
| std::shared_ptr<rnn::RNNoiseFeatureProcessor> featureProcessor, |
| std::shared_ptr<rnn::FrameFeatures> frameFeatures); |
| |
| /** |
| * @brief Should perform post-processing of the result of inference then |
| * populate result data for any later use. |
| * @return true if successful, false otherwise. |
| **/ |
| bool DoPostProcess() override; |
| |
| private: |
| TfLiteTensor* m_outputTensor; /* Model output tensor. */ |
| std::vector<int16_t>& m_denoisedAudioFrame; /* Vector to store the final denoised frame. */ |
| rnn::vec1D32F m_denoisedAudioFrameFloat; /* Internal vector to store the final denoised frame (FP32). */ |
| std::shared_ptr<rnn::RNNoiseFeatureProcessor> m_featureProcessor; /* RNNoise feature processor shared between pre & post-processing. */ |
| std::shared_ptr<rnn::FrameFeatures> m_frameFeatures; /* RNNoise features shared between pre & post-processing. */ |
| std::vector<float> m_modelOutputFloat; /* Internal vector to store de-quantized model output. */ |
| |
| }; |
| |
| } /* namespace app */ |
| } /* namespace arm */ |
| |
| #endif /* RNNOISE_PROCESSING_HPP */ |