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PaddleSpeech/runtime/engine/common/frontend/feature_common.h

56 lines
1.8 KiB

// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
//
// 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.
#pragma once
#include "frontend/feature-window.h"
#include "frontend_itf.h"
namespace ppspeech {
template <class F>
class StreamingFeatureTpl : public FrontendInterface {
public:
typedef typename F::Options Options;
StreamingFeatureTpl(const Options& opts,
std::unique_ptr<FrontendInterface> base_extractor);
virtual void Accept(const std::vector<kaldi::BaseFloat>& waves);
virtual bool Read(std::vector<kaldi::BaseFloat>* feats);
// the dim_ is the dim of single frame feature
virtual size_t Dim() const { return computer_.Dim(); }
virtual void SetFinished() { base_extractor_->SetFinished(); }
virtual bool IsFinished() const { return base_extractor_->IsFinished(); }
virtual void Reset() {
base_extractor_->Reset();
remained_wav_.resize(0);
}
private:
bool Compute(const std::vector<kaldi::BaseFloat>& waves,
std::vector<kaldi::BaseFloat>* feats);
Options opts_;
std::unique_ptr<FrontendInterface> base_extractor_;
knf::FeatureWindowFunction window_function_;
std::vector<kaldi::BaseFloat> remained_wav_;
F computer_;
};
} // namespace ppspeech
#include "frontend/feature_common_inl.h"