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

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// 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 "base/common.h"
#include "frontend/frontend_itf.h"
namespace ppspeech {
struct AssemblerOptions {
// refer:https://github.com/PaddlePaddle/PaddleSpeech/blob/develop/paddlespeech/s2t/exps/deepspeech2/model.py
// the nnet batch forward
int32 receptive_filed_length{1};
int32 subsampling_rate{1};
int32 nnet_decoder_chunk{1};
bool fill_zero{false}; // whether fill zero when last chunk is not equal to
// frame_chunk_size_
};
class Assembler : public FrontendInterface {
public:
explicit Assembler(
AssemblerOptions opts,
std::unique_ptr<FrontendInterface> base_extractor = NULL);
// Feed feats or waves
void Accept(const std::vector<kaldi::BaseFloat>& inputs) override;
// feats size = num_frames * feat_dim
bool Read(std::vector<kaldi::BaseFloat>* feats) override;
// feat dim
size_t Dim() const override { return dim_; }
void SetFinished() override { base_extractor_->SetFinished(); }
bool IsFinished() const override { return base_extractor_->IsFinished(); }
void Reset() override;
private:
bool Compute(std::vector<kaldi::BaseFloat>* feats);
bool fill_zero_{false};
int32 dim_; // feat dim
int32 frame_chunk_size_; // window
int32 frame_chunk_stride_; // stride
int32 cache_size_; // window - stride
int32 receptive_filed_length_;
std::queue<std::vector<kaldi::BaseFloat>> feature_cache_;
std::unique_ptr<FrontendInterface> base_extractor_;
int32 nframes_; // num frame computed
DISALLOW_COPY_AND_ASSIGN(Assembler);
};
} // namespace ppspeech