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Add C++ runtime for MeloTTS (#1138)

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This commit is contained in:
Fangjun Kuang
2024-07-16 15:55:02 +08:00
committed by GitHub
parent 95485411fa
commit 960eb7529e
51 changed files with 693 additions and 156 deletions
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84
sherpa-onnx/csrc/offline-tts-vits-model.cc
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@@ -45,6 +45,64 @@ class OfflineTtsVitsModel::Impl {
return RunVits(std::move(x), sid, speed);
}
Ort::Value Run(Ort::Value x, Ort::Value tones, int64_t sid, float speed) {
// For MeloTTS, we hardcode sid to the one contained in the meta data
sid = meta_data_.speaker_id;
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);
}
int64_t len = x_shape[1];
int64_t len_shape = 1;
Ort::Value x_length =
Ort::Value::CreateTensor(memory_info, &len, 1, &len_shape, 1);
int64_t scale_shape = 1;
float noise_scale = config_.vits.noise_scale;
float length_scale = config_.vits.length_scale;
float noise_scale_w = config_.vits.noise_scale_w;
if (speed != 1 && speed > 0) {
length_scale = 1. / speed;
}
Ort::Value noise_scale_tensor =
Ort::Value::CreateTensor(memory_info, &noise_scale, 1, &scale_shape, 1);
Ort::Value length_scale_tensor = Ort::Value::CreateTensor(
memory_info, &length_scale, 1, &scale_shape, 1);
Ort::Value noise_scale_w_tensor = Ort::Value::CreateTensor(
memory_info, &noise_scale_w, 1, &scale_shape, 1);
Ort::Value sid_tensor =
Ort::Value::CreateTensor(memory_info, &sid, 1, &scale_shape, 1);
std::vector<Ort::Value> inputs;
inputs.reserve(7);
inputs.push_back(std::move(x));
inputs.push_back(std::move(x_length));
inputs.push_back(std::move(tones));
inputs.push_back(std::move(sid_tensor));
inputs.push_back(std::move(noise_scale_tensor));
inputs.push_back(std::move(length_scale_tensor));
inputs.push_back(std::move(noise_scale_w_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]);
}
const OfflineTtsVitsModelMetaData &GetMetaData() const { return meta_data_; }
private:
@@ -83,6 +141,10 @@ class OfflineTtsVitsModel::Impl {
SHERPA_ONNX_READ_META_DATA(meta_data_.sample_rate, "sample_rate");
SHERPA_ONNX_READ_META_DATA_WITH_DEFAULT(meta_data_.add_blank, "add_blank",
0);
SHERPA_ONNX_READ_META_DATA_WITH_DEFAULT(meta_data_.speaker_id, "speaker_id",
0);
SHERPA_ONNX_READ_META_DATA_WITH_DEFAULT(meta_data_.version, "version", 0);
SHERPA_ONNX_READ_META_DATA(meta_data_.num_speakers, "n_speakers");
SHERPA_ONNX_READ_META_DATA_STR_WITH_DEFAULT(meta_data_.punctuations,
"punctuation", "");
@@ -115,6 +177,22 @@ class OfflineTtsVitsModel::Impl {
if (comment.find("icefall") != std::string::npos) {
meta_data_.is_icefall = true;
}
if (comment.find("melo") != std::string::npos) {
meta_data_.is_melo_tts = true;
int32_t expected_version = 2;
if (meta_data_.version < expected_version) {
SHERPA_ONNX_LOGE(
"Please download the latest MeloTTS model and retry. Current "
"version: %d. Expected version: %d",
meta_data_.version, expected_version);
exit(-1);
}
// NOTE(fangjun):
// version 0 is the first version
// version 2: add jieba=1 to the metadata
}
}
Ort::Value RunVitsPiperOrCoqui(Ort::Value x, int64_t sid, float speed) {
@@ -269,6 +347,12 @@ Ort::Value OfflineTtsVitsModel::Run(Ort::Value x, int64_t sid /*=0*/,
return impl_->Run(std::move(x), sid, speed);
}
Ort::Value OfflineTtsVitsModel::Run(Ort::Value x, Ort::Value tones,
int64_t sid /*= 0*/,
float speed /*= 1.0*/) {
return impl_->Run(std::move(x), std::move(tones), sid, speed);
}
const OfflineTtsVitsModelMetaData &OfflineTtsVitsModel::GetMetaData() const {
return impl_->GetMetaData();
}