speaker-embedding-extractor.cc
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// sherpa-onnx/csrc/speaker-embedding-extractor.cc
//
// Copyright (c) 2024 Xiaomi Corporation
#include "sherpa-onnx/csrc/speaker-embedding-extractor.h"
#include <vector>
#include "sherpa-onnx/csrc/file-utils.h"
#include "sherpa-onnx/csrc/macros.h"
#include "sherpa-onnx/csrc/speaker-embedding-extractor-impl.h"
namespace sherpa_onnx {
void SpeakerEmbeddingExtractorConfig::Register(ParseOptions *po) {
po->Register("model", &model, "Path to the speaker embedding model.");
po->Register("num-threads", &num_threads,
"Number of threads to run the neural network");
po->Register("debug", &debug,
"true to print model information while loading it.");
po->Register("provider", &provider,
"Specify a provider to use: cpu, cuda, coreml");
}
bool SpeakerEmbeddingExtractorConfig::Validate() const {
if (model.empty()) {
SHERPA_ONNX_LOGE("Please provide --speaker-embedding-model");
return false;
}
if (!FileExists(model)) {
SHERPA_ONNX_LOGE("--speaker-embedding-model: %s does not exist",
model.c_str());
return false;
}
return true;
}
std::string SpeakerEmbeddingExtractorConfig::ToString() const {
std::ostringstream os;
os << "SpeakerEmbeddingExtractorConfig(";
os << "model=\"" << model << "\", ";
os << "num_threads=" << num_threads << ", ";
os << "debug=" << (debug ? "True" : "False") << ", ";
os << "provider=\"" << provider << "\")";
return os.str();
}
SpeakerEmbeddingExtractor::SpeakerEmbeddingExtractor(
const SpeakerEmbeddingExtractorConfig &config)
: impl_(SpeakerEmbeddingExtractorImpl::Create(config)) {}
SpeakerEmbeddingExtractor::~SpeakerEmbeddingExtractor() = default;
int32_t SpeakerEmbeddingExtractor::Dim() const { return impl_->Dim(); }
std::unique_ptr<OnlineStream> SpeakerEmbeddingExtractor::CreateStream() const {
return impl_->CreateStream();
}
bool SpeakerEmbeddingExtractor::IsReady(OnlineStream *s) const {
return impl_->IsReady(s);
}
std::vector<float> SpeakerEmbeddingExtractor::Compute(OnlineStream *s) const {
return impl_->Compute(s);
}
} // namespace sherpa_onnx