62 lines
1.8 KiB
C++
62 lines
1.8 KiB
C++
// sherpa-onnx/csrc/offline-recognizer-impl.h
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//
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// Copyright (c) 2023 Xiaomi Corporation
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#ifndef SHERPA_ONNX_CSRC_OFFLINE_RECOGNIZER_IMPL_H_
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#define SHERPA_ONNX_CSRC_OFFLINE_RECOGNIZER_IMPL_H_
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#include <memory>
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#include <string>
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#include <vector>
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#include "kaldifst/csrc/text-normalizer.h"
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#include "sherpa-onnx/csrc/macros.h"
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#include "sherpa-onnx/csrc/offline-recognizer.h"
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#include "sherpa-onnx/csrc/offline-stream.h"
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namespace sherpa_onnx {
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class OfflineRecognizerImpl {
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public:
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explicit OfflineRecognizerImpl(const OfflineRecognizerConfig &config);
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static std::unique_ptr<OfflineRecognizerImpl> Create(
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const OfflineRecognizerConfig &config);
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template <typename Manager>
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OfflineRecognizerImpl(Manager *mgr, const OfflineRecognizerConfig &config);
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template <typename Manager>
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static std::unique_ptr<OfflineRecognizerImpl> Create(
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Manager *mgr, const OfflineRecognizerConfig &config);
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virtual ~OfflineRecognizerImpl() = default;
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virtual std::unique_ptr<OfflineStream> CreateStream(
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const std::string &hotwords) const {
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SHERPA_ONNX_LOGE("Only transducer models support contextual biasing.");
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exit(-1);
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}
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virtual std::unique_ptr<OfflineStream> CreateStream() const = 0;
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virtual void DecodeStreams(OfflineStream **ss, int32_t n) const = 0;
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virtual void SetConfig(const OfflineRecognizerConfig &config);
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virtual OfflineRecognizerConfig GetConfig() const = 0;
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std::string ApplyInverseTextNormalization(std::string text) const;
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private:
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OfflineRecognizerConfig config_;
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// for inverse text normalization. Used only if
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// config.rule_fsts is not empty or
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// config.rule_fars is not empty
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std::vector<std::unique_ptr<kaldifst::TextNormalizer>> itn_list_;
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};
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} // namespace sherpa_onnx
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#endif // SHERPA_ONNX_CSRC_OFFLINE_RECOGNIZER_IMPL_H_
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