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48 lines
1.7 KiB
48 lines
1.7 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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#pragma once
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#include "base/common.h"
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#include "frontend/frontend_itf.h"
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#include "kaldi/util/options-itf.h"
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namespace ppspeech {
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class CMVN : public FrontendInterface {
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public:
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explicit CMVN(std::string cmvn_file,
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std::unique_ptr<FrontendInterface> base_extractor);
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virtual void Accept(const std::vector<kaldi::BaseFloat>& inputs);
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// the length of feats = feature_row * feature_dim,
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// the Matrix is squashed into Vector
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virtual bool Read(std::vector<kaldi::BaseFloat>* feats);
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// the dim_ is the feautre dim.
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virtual size_t Dim() const { return 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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void ReadCMVNFromJson(std::string cmvn_file);
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void Compute(std::vector<kaldi::BaseFloat>* feats) const;
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std::vector<double> mean_stats_;
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std::vector<double> var_stats_;
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std::unique_ptr<FrontendInterface> base_extractor_;
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size_t dim_;
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bool var_norm_;
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};
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} // namespace ppspeech
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