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57 lines
1.9 KiB
57 lines
1.9 KiB
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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// todo refactor later (SGoat)
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#pragma once
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#include "frontend/audio/audio_cache.h"
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#include "frontend/audio/data_cache.h"
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#include "frontend/audio/feature_cache.h"
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#include "frontend/audio/frontend_itf.h"
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#include "frontend/audio/linear_spectrogram.h"
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#include "frontend/audio/normalizer.h"
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namespace ppspeech {
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struct FeaturePipelineOptions {
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std::string cmvn_file;
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bool convert2PCM32;
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LinearSpectrogramOptions linear_spectrogram_opts;
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FeatureCacheOptions feature_cache_opts;
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FeaturePipelineOptions()
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: cmvn_file(""),
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convert2PCM32(false),
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linear_spectrogram_opts(),
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feature_cache_opts() {}
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};
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class FeaturePipeline : public FrontendInterface {
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public:
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explicit FeaturePipeline(const FeaturePipelineOptions& opts);
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virtual void Accept(const kaldi::VectorBase<kaldi::BaseFloat>& waves) {
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base_extractor_->Accept(waves);
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}
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virtual bool Read(kaldi::Vector<kaldi::BaseFloat>* feats) {
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return base_extractor_->Read(feats);
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}
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virtual size_t Dim() const { return base_extractor_->Dim(); }
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virtual void SetFinished() { base_extractor_->SetFinished(); }
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virtual bool IsFinished() const { return base_extractor_->IsFinished(); }
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virtual void Reset() { base_extractor_->Reset(); }
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private:
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std::unique_ptr<FrontendInterface> base_extractor_;
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};
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} |