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78 lines
2.9 KiB
78 lines
2.9 KiB
// Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "COPYING.APACHE2.0");
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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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#ifndef CTC_BEAM_SEARCH_DECODER_H_
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#define CTC_BEAM_SEARCH_DECODER_H_
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#include <string>
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#include <utility>
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#include <vector>
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#include "scorer.h"
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/* CTC Beam Search Decoder
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* Parameters:
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* probs_seq: 2-D vector that each element is a vector of probabilities
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* over vocabulary of one time step.
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* vocabulary: A vector of vocabulary.
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* beam_size: The width of beam search.
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* cutoff_prob: Cutoff probability for pruning.
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* cutoff_top_n: Cutoff number for pruning.
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* ext_scorer: External scorer to evaluate a prefix, which consists of
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* n-gram language model scoring and word insertion term.
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* Default null, decoding the input sample without scorer.
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* Return:
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* A vector that each element is a pair of score and decoding result,
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* in desending order.
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*/
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std::vector<std::pair<double, std::string>> ctc_beam_search_decoder(
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const std::vector<std::vector<double>> &probs_seq,
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const std::vector<std::string> &vocabulary,
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size_t beam_size,
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double cutoff_prob = 1.0,
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size_t cutoff_top_n = 40,
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Scorer *ext_scorer = nullptr,
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size_t blank_id = 0);
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/* CTC Beam Search Decoder for batch data
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* Parameters:
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* probs_seq: 3-D vector that each element is a 2-D vector that can be used
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* by ctc_beam_search_decoder().
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* vocabulary: A vector of vocabulary.
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* beam_size: The width of beam search.
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* num_processes: Number of threads for beam search.
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* cutoff_prob: Cutoff probability for pruning.
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* cutoff_top_n: Cutoff number for pruning.
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* ext_scorer: External scorer to evaluate a prefix, which consists of
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* n-gram language model scoring and word insertion term.
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* Default null, decoding the input sample without scorer.
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* Return:
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* A 2-D vector that each element is a vector of beam search decoding
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* result for one audio sample.
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*/
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std::vector<std::vector<std::pair<double, std::string>>>
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ctc_beam_search_decoder_batch(
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const std::vector<std::vector<std::vector<double>>> &probs_split,
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const std::vector<std::string> &vocabulary,
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size_t beam_size,
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size_t num_processes,
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double cutoff_prob = 1.0,
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size_t cutoff_top_n = 40,
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Scorer *ext_scorer = nullptr,
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size_t blank_id = 0);
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#endif // CTC_BEAM_SEARCH_DECODER_H_
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