63 lines
1.8 KiB
C++
63 lines
1.8 KiB
C++
// sherpa-onnx/csrc/offline-tts-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_FRONTEND_H_
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#define SHERPA_ONNX_CSRC_OFFLINE_TTS_FRONTEND_H_
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#include <cstdint>
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#include <string>
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#include <utility>
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#include <vector>
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#include "sherpa-onnx/csrc/macros.h"
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namespace sherpa_onnx {
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struct TokenIDs {
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TokenIDs() = default;
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/*implicit*/ TokenIDs(std::vector<int64_t> tokens) // NOLINT
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: tokens{std::move(tokens)} {}
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/*implicit*/ TokenIDs(const std::vector<int32_t> &tokens) // NOLINT
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: tokens{tokens.begin(), tokens.end()} {}
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TokenIDs(std::vector<int64_t> tokens, // NOLINT
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std::vector<int64_t> tones) // NOLINT
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: tokens{std::move(tokens)}, tones{std::move(tones)} {}
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std::string ToString() const;
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std::vector<int64_t> tokens;
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// Used only in MeloTTS
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std::vector<int64_t> tones;
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};
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class OfflineTtsFrontend {
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public:
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virtual ~OfflineTtsFrontend() = default;
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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 sentences,
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* the resulting vector contains only one subvector.
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*/
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virtual std::vector<TokenIDs> ConvertTextToTokenIds(
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const std::string &text, const std::string &voice = "") const = 0;
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};
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// implementation is in ./piper-phonemize-lexicon.cc
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void InitEspeak(const std::string &data_dir);
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} // namespace sherpa_onnx
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#endif // SHERPA_ONNX_CSRC_OFFLINE_TTS_FRONTEND_H_
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