speaker-embedding-extractor-impl.cc
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// sherpa-onnx/csrc/speaker-embedding-extractor-impl.cc
//
// Copyright (c) 2024 Xiaomi Corporation
#include "sherpa-onnx/csrc/speaker-embedding-extractor-impl.h"
#include "sherpa-onnx/csrc/macros.h"
#include "sherpa-onnx/csrc/onnx-utils.h"
#include "sherpa-onnx/csrc/speaker-embedding-extractor-general-impl.h"
#include "sherpa-onnx/csrc/speaker-embedding-extractor-nemo-impl.h"
namespace sherpa_onnx {
namespace {
enum class ModelType : std::uint8_t {
kWeSpeaker,
k3dSpeaker,
kNeMo,
kUnknown,
};
} // namespace
static ModelType GetModelType(char *model_data, size_t model_data_length,
bool debug) {
Ort::Env env(ORT_LOGGING_LEVEL_WARNING);
Ort::SessionOptions sess_opts;
sess_opts.SetIntraOpNumThreads(1);
sess_opts.SetInterOpNumThreads(1);
auto sess = std::make_unique<Ort::Session>(env, model_data, model_data_length,
sess_opts);
Ort::ModelMetadata meta_data = sess->GetModelMetadata();
if (debug) {
std::ostringstream os;
PrintModelMetadata(os, meta_data);
SHERPA_ONNX_LOGE("%s", os.str().c_str());
}
Ort::AllocatorWithDefaultOptions allocator;
auto model_type =
meta_data.LookupCustomMetadataMapAllocated("framework", allocator);
if (!model_type) {
SHERPA_ONNX_LOGE(
"No model_type in the metadata!\n"
"Please make sure you have added metadata to the model.\n\n"
"For instance, you can use\n"
"https://github.com/k2-fsa/sherpa-onnx/blob/master/scripts/wespeaker/"
"add_meta_data.py"
"to add metadata to models from WeSpeaker\n");
return ModelType::kUnknown;
}
if (model_type.get() == std::string("wespeaker")) {
return ModelType::kWeSpeaker;
} else if (model_type.get() == std::string("3d-speaker")) {
return ModelType::k3dSpeaker;
} else if (model_type.get() == std::string("nemo")) {
return ModelType::kNeMo;
} else {
SHERPA_ONNX_LOGE("Unsupported model_type: %s", model_type.get());
return ModelType::kUnknown;
}
}
std::unique_ptr<SpeakerEmbeddingExtractorImpl>
SpeakerEmbeddingExtractorImpl::Create(
const SpeakerEmbeddingExtractorConfig &config) {
ModelType model_type = ModelType::kUnknown;
{
auto buffer = ReadFile(config.model);
model_type = GetModelType(buffer.data(), buffer.size(), config.debug);
}
switch (model_type) {
case ModelType::kWeSpeaker:
// fall through
case ModelType::k3dSpeaker:
return std::make_unique<SpeakerEmbeddingExtractorGeneralImpl>(config);
case ModelType::kNeMo:
return std::make_unique<SpeakerEmbeddingExtractorNeMoImpl>(config);
case ModelType::kUnknown:
SHERPA_ONNX_LOGE("Unknown model type for speaker embedding extractor!");
return nullptr;
}
// unreachable code
return nullptr;
}
#if __ANDROID_API__ >= 9
std::unique_ptr<SpeakerEmbeddingExtractorImpl>
SpeakerEmbeddingExtractorImpl::Create(
AAssetManager *mgr, const SpeakerEmbeddingExtractorConfig &config) {
ModelType model_type = ModelType::kUnknown;
{
auto buffer = ReadFile(mgr, config.model);
model_type = GetModelType(buffer.data(), buffer.size(), config.debug);
}
switch (model_type) {
case ModelType::kWeSpeaker:
// fall through
case ModelType::k3dSpeaker:
return std::make_unique<SpeakerEmbeddingExtractorGeneralImpl>(mgr,
config);
case ModelType::kNeMo:
return std::make_unique<SpeakerEmbeddingExtractorNeMoImpl>(mgr, config);
case ModelType::kUnknown:
SHERPA_ONNX_LOGE(
"Unknown model type in for speaker embedding extractor!");
return nullptr;
}
// unreachable code
return nullptr;
}
#endif
} // namespace sherpa_onnx