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74 lines
2.2 KiB
74 lines
2.2 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 "fst/symbol-table.h"
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#include "kaldi/decoder/decodable-itf.h"
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namespace ppspeech {
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enum SearchType {
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kPrefixBeamSearch = 0,
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kWfstBeamSearch = 1,
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};
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class DecoderInterface {
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public:
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virtual ~DecoderInterface() {}
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virtual void InitDecoder() = 0;
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virtual void Reset() = 0;
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// call AdvanceDecoding
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virtual void AdvanceDecode(
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const std::shared_ptr<kaldi::DecodableInterface>& decodable) = 0;
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// call GetBestPath
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virtual std::string GetFinalBestPath() = 0;
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virtual std::string GetPartialResult() = 0;
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virtual const std::shared_ptr<fst::SymbolTable> WordSymbolTable() const = 0;
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virtual void FinalizeSearch() = 0;
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virtual const std::vector<std::vector<int>>& Inputs() const = 0;
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virtual const std::vector<std::vector<int>>& Outputs() const = 0;
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virtual const std::vector<float>& Likelihood() const = 0;
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virtual const std::vector<std::vector<int>>& Times() const = 0;
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protected:
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// virtual void AdvanceDecoding(kaldi::DecodableInterface* decodable) = 0;
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// virtual void Decode() = 0;
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virtual std::string GetBestPath() = 0;
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virtual std::vector<std::pair<double, std::string>> GetNBestPath() = 0;
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virtual std::vector<std::pair<double, std::string>> GetNBestPath(int n) = 0;
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};
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class DecoderBase : public DecoderInterface {
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protected:
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// start from one
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int NumFrameDecoded() { return num_frame_decoded_ + 1; }
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protected:
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// current decoding frame number, abs_time_step_
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int32 num_frame_decoded_;
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};
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} // namespace ppspeech
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