* Implement context graph * Modify the interface to support context biasing * Support context biasing in modified beam search; add python wrapper * Support context biasing in python api example * Minor fixes * Fix context graph * Minor fixes * Fix tests * Fix style * Fix style * Fix comments * Minor fixes * Add missing header * Replace std::shared_ptr with std::unique_ptr for effciency * Build graph in constructor * Fix comments * Minor fixes * Fix docs
90 lines
2.5 KiB
C++
90 lines
2.5 KiB
C++
// sherpa-onnx/csrc/offline-recognizer.h
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//
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// Copyright (c) 2023 Xiaomi Corporation
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#ifndef SHERPA_ONNX_CSRC_OFFLINE_RECOGNIZER_H_
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#define SHERPA_ONNX_CSRC_OFFLINE_RECOGNIZER_H_
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#include <memory>
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#include <string>
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#include <vector>
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#include "sherpa-onnx/csrc/offline-lm-config.h"
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#include "sherpa-onnx/csrc/offline-model-config.h"
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#include "sherpa-onnx/csrc/offline-stream.h"
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#include "sherpa-onnx/csrc/offline-transducer-model-config.h"
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#include "sherpa-onnx/csrc/parse-options.h"
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namespace sherpa_onnx {
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struct OfflineRecognitionResult;
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struct OfflineRecognizerConfig {
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OfflineFeatureExtractorConfig feat_config;
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OfflineModelConfig model_config;
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OfflineLMConfig lm_config;
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std::string decoding_method = "greedy_search";
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int32_t max_active_paths = 4;
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float context_score = 1.5;
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// only greedy_search is implemented
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// TODO(fangjun): Implement modified_beam_search
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OfflineRecognizerConfig() = default;
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OfflineRecognizerConfig(const OfflineFeatureExtractorConfig &feat_config,
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const OfflineModelConfig &model_config,
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const OfflineLMConfig &lm_config,
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const std::string &decoding_method,
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int32_t max_active_paths, float context_score)
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: feat_config(feat_config),
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model_config(model_config),
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lm_config(lm_config),
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decoding_method(decoding_method),
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max_active_paths(max_active_paths),
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context_score(context_score) {}
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void Register(ParseOptions *po);
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bool Validate() const;
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std::string ToString() const;
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};
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class OfflineRecognizerImpl;
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class OfflineRecognizer {
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public:
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~OfflineRecognizer();
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explicit OfflineRecognizer(const OfflineRecognizerConfig &config);
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/// Create a stream for decoding.
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std::unique_ptr<OfflineStream> CreateStream() const;
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/// Create a stream for decoding.
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std::unique_ptr<OfflineStream> CreateStream(
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const std::vector<std::vector<int32_t>> &context_list) const;
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/** Decode a single stream
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*
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* @param s The stream to decode.
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*/
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void DecodeStream(OfflineStream *s) const {
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OfflineStream *ss[1] = {s};
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DecodeStreams(ss, 1);
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}
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/** Decode a list of streams.
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*
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* @param ss Pointer to an array of streams.
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* @param n Size of the input array.
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*/
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void DecodeStreams(OfflineStream **ss, int32_t n) const;
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private:
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std::unique_ptr<OfflineRecognizerImpl> impl_;
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};
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} // namespace sherpa_onnx
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#endif // SHERPA_ONNX_CSRC_OFFLINE_RECOGNIZER_H_
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