49 lines
1.7 KiB
C++
49 lines
1.7 KiB
C++
// sherpa-onnx/csrc/offline-tts-character-frontend.h
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//
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// Copyright (c) 2023 Xiaomi Corporation
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#ifndef SHERPA_ONNX_CSRC_OFFLINE_TTS_CHARACTER_FRONTEND_H_
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#define SHERPA_ONNX_CSRC_OFFLINE_TTS_CHARACTER_FRONTEND_H_
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#include <cstdint>
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#include <string>
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#include <unordered_map>
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#include <vector>
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#include "sherpa-onnx/csrc/offline-tts-frontend.h"
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#include "sherpa-onnx/csrc/offline-tts-vits-model-meta-data.h"
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namespace sherpa_onnx {
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class OfflineTtsCharacterFrontend : public OfflineTtsFrontend {
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public:
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OfflineTtsCharacterFrontend(const std::string &tokens,
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const OfflineTtsVitsModelMetaData &meta_data);
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template <typename Manager>
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OfflineTtsCharacterFrontend(Manager *mgr, const std::string &tokens,
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const OfflineTtsVitsModelMetaData &meta_data);
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/** Convert a string to token IDs.
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*
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* @param text The input text.
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* Example 1: "This is the first sample sentence; this is the
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* second one." Example 2: "这是第一句。这是第二句。"
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* @param voice Optional. It is for espeak-ng.
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*
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* @return Return a vector-of-vector of token IDs. Each subvector contains
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* a sentence that can be processed independently.
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* If a frontend does not support splitting the text into
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* sentences, the resulting vector contains only one subvector.
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*/
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std::vector<TokenIDs> ConvertTextToTokenIds(
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const std::string &text, const std::string &voice = "") const override;
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private:
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OfflineTtsVitsModelMetaData meta_data_;
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std::unordered_map<char32_t, int32_t> token2id_;
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};
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} // namespace sherpa_onnx
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#endif // SHERPA_ONNX_CSRC_OFFLINE_TTS_CHARACTER_FRONTEND_H_
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