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diff --git a/source/use_case/kws_asr/include/AsrClassifier.hpp b/source/use_case/kws_asr/include/AsrClassifier.hpp
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-/*
- * 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.
- * @param[in] use_softmax Whether softmax scaling should be applied to model output.
- * @return true if successful, false otherwise.
- **/
- bool GetClassificationResults(
- TfLiteTensor* outputTensor,
- std::vector<ClassificationResult>& vecResults,
- const std::vector <std::string>& labels, uint32_t topNCount,
- bool use_softmax = false) 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 A 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