offline-recognizer-impl.h
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// sherpa-onnx/csrc/offline-recognizer-impl.h
//
// Copyright (c) 2023 Xiaomi Corporation
#ifndef SHERPA_ONNX_CSRC_OFFLINE_RECOGNIZER_IMPL_H_
#define SHERPA_ONNX_CSRC_OFFLINE_RECOGNIZER_IMPL_H_
#include <memory>
#include <string>
#include <vector>
#if __ANDROID_API__ >= 9
#include "android/asset_manager.h"
#include "android/asset_manager_jni.h"
#endif
#include "kaldifst/csrc/text-normalizer.h"
#include "sherpa-onnx/csrc/macros.h"
#include "sherpa-onnx/csrc/offline-recognizer.h"
#include "sherpa-onnx/csrc/offline-stream.h"
namespace sherpa_onnx {
class OfflineRecognizerImpl {
public:
explicit OfflineRecognizerImpl(const OfflineRecognizerConfig &config);
static std::unique_ptr<OfflineRecognizerImpl> Create(
const OfflineRecognizerConfig &config);
#if __ANDROID_API__ >= 9
OfflineRecognizerImpl(AAssetManager *mgr,
const OfflineRecognizerConfig &config);
static std::unique_ptr<OfflineRecognizerImpl> Create(
AAssetManager *mgr, const OfflineRecognizerConfig &config);
#endif
virtual ~OfflineRecognizerImpl() = default;
virtual std::unique_ptr<OfflineStream> CreateStream(
const std::string &hotwords) const {
SHERPA_ONNX_LOGE("Only transducer models support contextual biasing.");
exit(-1);
}
virtual std::unique_ptr<OfflineStream> CreateStream() const = 0;
virtual void DecodeStreams(OfflineStream **ss, int32_t n) const = 0;
std::string ApplyInverseTextNormalization(std::string text) const;
private:
OfflineRecognizerConfig config_;
// for inverse text normalization. Used only if
// config.rule_fsts is not empty or
// config.rule_fars is not empty
std::vector<std::unique_ptr<kaldifst::TextNormalizer>> itn_list_;
};
} // namespace sherpa_onnx
#endif // SHERPA_ONNX_CSRC_OFFLINE_RECOGNIZER_IMPL_H_