offline-tts-kokoro-model.cc
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// sherpa-onnx/csrc/offline-tts-kokoro-model.cc
//
// Copyright (c) 2025 Xiaomi Corporation
#include "sherpa-onnx/csrc/offline-tts-kokoro-model.h"
#include <algorithm>
#include <string>
#include <utility>
#include <vector>
#if __ANDROID_API__ >= 9
#include "android/asset_manager.h"
#include "android/asset_manager_jni.h"
#endif
#if __OHOS__
#include "rawfile/raw_file_manager.h"
#endif
#include "sherpa-onnx/csrc/file-utils.h"
#include "sherpa-onnx/csrc/macros.h"
#include "sherpa-onnx/csrc/onnx-utils.h"
#include "sherpa-onnx/csrc/session.h"
#include "sherpa-onnx/csrc/text-utils.h"
namespace sherpa_onnx {
class OfflineTtsKokoroModel::Impl {
public:
explicit Impl(const OfflineTtsModelConfig &config)
: config_(config),
env_(ORT_LOGGING_LEVEL_ERROR),
sess_opts_(GetSessionOptions(config)),
allocator_{} {
auto model_buf = ReadFile(config.kokoro.model);
auto voices_buf = ReadFile(config.kokoro.voices);
Init(model_buf.data(), model_buf.size(), voices_buf.data(),
voices_buf.size());
}
template <typename Manager>
Impl(Manager *mgr, const OfflineTtsModelConfig &config)
: config_(config),
env_(ORT_LOGGING_LEVEL_ERROR),
sess_opts_(GetSessionOptions(config)),
allocator_{} {
auto model_buf = ReadFile(mgr, config.kokoro.model);
auto voices_buf = ReadFile(mgr, config.kokoro.voices);
Init(model_buf.data(), model_buf.size(), voices_buf.data(),
voices_buf.size());
}
const OfflineTtsKokoroModelMetaData &GetMetaData() const {
return meta_data_;
}
Ort::Value Run(Ort::Value x, int32_t sid, float speed) {
auto memory_info =
Ort::MemoryInfo::CreateCpu(OrtDeviceAllocator, OrtMemTypeDefault);
std::vector<int64_t> x_shape = x.GetTensorTypeAndShapeInfo().GetShape();
if (x_shape[0] != 1) {
SHERPA_ONNX_LOGE("Support only batch_size == 1. Given: %d",
static_cast<int32_t>(x_shape[0]));
exit(-1);
}
// there is a 0 at the front and end of x
int32_t len = static_cast<int32_t>(x_shape[1]) - 2;
int32_t num_speakers = meta_data_.num_speakers;
int32_t dim0 = style_dim_[0];
int32_t dim1 = style_dim_[2];
if (len >= dim0) {
SHERPA_ONNX_LOGE("Bad things happened! %d vs %d", len, dim0);
SHERPA_ONNX_EXIT(-1);
}
/*const*/ float *p = styles_.data() + sid * dim0 * dim1 + len * dim1;
std::array<int64_t, 2> style_embedding_shape = {1, dim1};
Ort::Value style_embedding = Ort::Value::CreateTensor(
memory_info, p, dim1, style_embedding_shape.data(),
style_embedding_shape.size());
int64_t speed_shape = 1;
if (config_.kokoro.length_scale != 1 && speed == 1) {
speed = 1. / config_.kokoro.length_scale;
}
Ort::Value speed_tensor =
Ort::Value::CreateTensor(memory_info, &speed, 1, &speed_shape, 1);
std::array<Ort::Value, 3> inputs = {
std::move(x), std::move(style_embedding), std::move(speed_tensor)};
auto out =
sess_->Run({}, input_names_ptr_.data(), inputs.data(), inputs.size(),
output_names_ptr_.data(), output_names_ptr_.size());
return std::move(out[0]);
}
private:
void Init(void *model_data, size_t model_data_length, const char *voices_data,
size_t voices_data_length) {
sess_ = std::make_unique<Ort::Session>(env_, model_data, model_data_length,
sess_opts_);
GetInputNames(sess_.get(), &input_names_, &input_names_ptr_);
GetOutputNames(sess_.get(), &output_names_, &output_names_ptr_);
// get meta data
Ort::ModelMetadata meta_data = sess_->GetModelMetadata();
if (config_.debug) {
std::ostringstream os;
os << "---kokoro model---\n";
PrintModelMetadata(os, meta_data);
os << "----------input names----------\n";
int32_t i = 0;
for (const auto &s : input_names_) {
os << i << " " << s << "\n";
++i;
}
os << "----------output names----------\n";
i = 0;
for (const auto &s : output_names_) {
os << i << " " << s << "\n";
++i;
}
#if __OHOS__
SHERPA_ONNX_LOGE("%{public}s\n", os.str().c_str());
#else
SHERPA_ONNX_LOGE("%s\n", os.str().c_str());
#endif
}
Ort::AllocatorWithDefaultOptions allocator; // used in the macro below
SHERPA_ONNX_READ_META_DATA(meta_data_.sample_rate, "sample_rate");
SHERPA_ONNX_READ_META_DATA_WITH_DEFAULT(meta_data_.version, "version", 1);
SHERPA_ONNX_READ_META_DATA(meta_data_.num_speakers, "n_speakers");
SHERPA_ONNX_READ_META_DATA(meta_data_.has_espeak, "has_espeak");
SHERPA_ONNX_READ_META_DATA_STR_WITH_DEFAULT(meta_data_.voice, "voice",
"en-us");
if (config_.debug) {
std::vector<std::string> speaker_names;
SHERPA_ONNX_READ_META_DATA_VEC_STRING(speaker_names, "speaker_names");
std::ostringstream os;
os << "\n";
for (int32_t i = 0; i != speaker_names.size(); ++i) {
os << i << "->" << speaker_names[i] << ", ";
}
os << "\n";
#if __OHOS__
SHERPA_ONNX_LOGE("%{public}s\n", os.str().c_str());
#else
SHERPA_ONNX_LOGE("%s\n", os.str().c_str());
#endif
}
SHERPA_ONNX_READ_META_DATA_VEC(style_dim_, "style_dim");
if (style_dim_.size() != 3) {
SHERPA_ONNX_LOGE("style_dim should be 3-d, given: %d",
static_cast<int32_t>(style_dim_.size()));
SHERPA_ONNX_EXIT(-1);
}
if (style_dim_[1] != 1) {
SHERPA_ONNX_LOGE("style_dim[1] should be 1, given: %d", style_dim_[1]);
SHERPA_ONNX_EXIT(-1);
}
int32_t actual_num_floats = voices_data_length / sizeof(float);
int32_t expected_num_floats =
style_dim_[0] * style_dim_[2] * meta_data_.num_speakers;
if (actual_num_floats != expected_num_floats) {
#if __OHOS__
SHERPA_ONNX_LOGE(
"Corrupted --kokoro-voices '%{public}s'. Expected #floats: "
"%{public}d, actual: %{public}d",
config_.kokoro.voices.c_str(), expected_num_floats,
actual_num_floats);
#else
SHERPA_ONNX_LOGE(
"Corrupted --kokoro-voices '%s'. Expected #floats: %d, actual: %d",
config_.kokoro.voices.c_str(), expected_num_floats,
actual_num_floats);
#endif
SHERPA_ONNX_EXIT(-1);
}
styles_ = std::vector<float>(
reinterpret_cast<const float *>(voices_data),
reinterpret_cast<const float *>(voices_data) + expected_num_floats);
meta_data_.max_token_len = style_dim_[0];
}
private:
OfflineTtsModelConfig config_;
Ort::Env env_;
Ort::SessionOptions sess_opts_;
Ort::AllocatorWithDefaultOptions allocator_;
std::unique_ptr<Ort::Session> sess_;
std::vector<std::string> input_names_;
std::vector<const char *> input_names_ptr_;
std::vector<std::string> output_names_;
std::vector<const char *> output_names_ptr_;
OfflineTtsKokoroModelMetaData meta_data_;
std::vector<int32_t> style_dim_;
// (num_speakers, style_dim_[0], style_dim_[2])
std::vector<float> styles_;
};
OfflineTtsKokoroModel::OfflineTtsKokoroModel(
const OfflineTtsModelConfig &config)
: impl_(std::make_unique<Impl>(config)) {}
template <typename Manager>
OfflineTtsKokoroModel::OfflineTtsKokoroModel(
Manager *mgr, const OfflineTtsModelConfig &config)
: impl_(std::make_unique<Impl>(mgr, config)) {}
OfflineTtsKokoroModel::~OfflineTtsKokoroModel() = default;
const OfflineTtsKokoroModelMetaData &OfflineTtsKokoroModel::GetMetaData()
const {
return impl_->GetMetaData();
}
Ort::Value OfflineTtsKokoroModel::Run(Ort::Value x, int64_t sid /*= 0*/,
float speed /*= 1.0*/) const {
return impl_->Run(std::move(x), sid, speed);
}
#if __ANDROID_API__ >= 9
template OfflineTtsKokoroModel::OfflineTtsKokoroModel(
AAssetManager *mgr, const OfflineTtsModelConfig &config);
#endif
#if __OHOS__
template OfflineTtsKokoroModel::OfflineTtsKokoroModel(
NativeResourceManager *mgr, const OfflineTtsModelConfig &config);
#endif
} // namespace sherpa_onnx