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