60 lines
1.6 KiB
C++
60 lines
1.6 KiB
C++
// sherpa-onnx/csrc/offline-tts-vits-model.h
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//
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// Copyright (c) 2023 Xiaomi Corporation
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#ifndef SHERPA_ONNX_CSRC_OFFLINE_TTS_VITS_MODEL_H_
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#define SHERPA_ONNX_CSRC_OFFLINE_TTS_VITS_MODEL_H_
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#include <memory>
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#include <string>
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#if __ANDROID_API__ >= 9
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#include "android/asset_manager.h"
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#include "android/asset_manager_jni.h"
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#endif
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#include "onnxruntime_cxx_api.h" // NOLINT
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#include "sherpa-onnx/csrc/offline-tts-model-config.h"
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namespace sherpa_onnx {
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class OfflineTtsVitsModel {
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public:
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~OfflineTtsVitsModel();
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explicit OfflineTtsVitsModel(const OfflineTtsModelConfig &config);
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#if __ANDROID_API__ >= 9
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OfflineTtsVitsModel(AAssetManager *mgr, const OfflineTtsModelConfig &config);
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#endif
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/** Run the model.
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*
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* @param x A int64 tensor of shape (1, num_tokens)
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// @param sid Speaker ID. Used only for multi-speaker models, e.g., models
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// trained using the VCTK dataset. It is not used for
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// single-speaker models, e.g., models trained using the ljspeech
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// dataset.
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* @return Return a float32 tensor containing audio samples. You can flatten
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* it to a 1-D tensor.
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*/
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Ort::Value Run(Ort::Value x, int64_t sid = 0, float speed = 1.0);
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// Sample rate of the generated audio
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int32_t SampleRate() const;
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// true to insert a blank between each token
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bool AddBlank() const;
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std::string Punctuations() const;
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std::string Language() const;
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int32_t NumSpeakers() const;
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private:
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class Impl;
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std::unique_ptr<Impl> impl_;
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};
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} // namespace sherpa_onnx
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#endif // SHERPA_ONNX_CSRC_OFFLINE_TTS_VITS_MODEL_H_
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