Add C++ and Python API for Kokoro TTS models. (#1715)

sherpa-onnx/csrc/offline-tts-vits-model-meta-data.h

@@ -0,0 +1,49 @@
+// sherpa-onnx/csrc/offline-tts-vits-model-meta-data.h
+//
+// Copyright (c)  2023  Xiaomi Corporation
+
+#ifndef SHERPA_ONNX_CSRC_OFFLINE_TTS_VITS_MODEL_META_DATA_H_
+#define SHERPA_ONNX_CSRC_OFFLINE_TTS_VITS_MODEL_META_DATA_H_
+
+#include <cstdint>
+#include <string>
+
+namespace sherpa_onnx {
+
+// If you are not sure what each field means, please
+// have a look of the Python file in the model directory that
+// you have downloaded.
+struct OfflineTtsVitsModelMetaData {
+  int32_t sample_rate = 0;
+  int32_t add_blank = 0;
+  int32_t num_speakers = 0;
+
+  bool is_piper = false;
+  bool is_coqui = false;
+  bool is_icefall = false;
+  bool is_melo_tts = false;
+
+  // for Chinese TTS models from
+  // https://github.com/Plachtaa/VITS-fast-fine-tuning
+  int32_t jieba = 0;
+
+  // the following options are for models from coqui-ai/TTS
+  int32_t blank_id = 0;
+  int32_t bos_id = 0;
+  int32_t eos_id = 0;
+  int32_t use_eos_bos = 0;
+  int32_t pad_id = 0;
+
+  // for melo tts
+  int32_t speaker_id = 0;
+  int32_t version = 0;
+
+  std::string punctuations;
+  std::string language;
+  std::string voice;
+  std::string frontend;  // characters
+};
+
+}  // namespace sherpa_onnx
+
+#endif  // SHERPA_ONNX_CSRC_OFFLINE_TTS_VITS_MODEL_META_DATA_H_