Add C++ runtime for models from 3d-speaker (#523)

This commit is contained in:
Fangjun Kuang
2024-01-11 19:10:30 +08:00
committed by GitHub
parent ec728ff7f6
commit afc81ec122
15 changed files with 378 additions and 87 deletions

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@@ -99,7 +99,7 @@ set(sources
# speaker embedding extractor
list(APPEND sources
speaker-embedding-extractor-impl.cc
speaker-embedding-extractor-wespeaker-model.cc
speaker-embedding-extractor-model.cc
speaker-embedding-extractor.cc
speaker-embedding-manager.cc
)

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@@ -1,23 +1,24 @@
// sherpa-onnx/csrc/speaker-embedding-extractor-wespeaker-impl.h
// sherpa-onnx/csrc/speaker-embedding-extractor-general-impl.h
//
// Copyright (c) 2023 Xiaomi Corporation
#ifndef SHERPA_ONNX_CSRC_SPEAKER_EMBEDDING_EXTRACTOR_WESPEAKER_IMPL_H_
#define SHERPA_ONNX_CSRC_SPEAKER_EMBEDDING_EXTRACTOR_WESPEAKER_IMPL_H_
#ifndef SHERPA_ONNX_CSRC_SPEAKER_EMBEDDING_EXTRACTOR_GENERAL_IMPL_H_
#define SHERPA_ONNX_CSRC_SPEAKER_EMBEDDING_EXTRACTOR_GENERAL_IMPL_H_
#include <algorithm>
#include <memory>
#include <utility>
#include <vector>
#include "Eigen/Dense"
#include "sherpa-onnx/csrc/speaker-embedding-extractor-impl.h"
#include "sherpa-onnx/csrc/speaker-embedding-extractor-wespeaker-model.h"
#include "sherpa-onnx/csrc/speaker-embedding-extractor-model.h"
namespace sherpa_onnx {
class SpeakerEmbeddingExtractorWeSpeakerImpl
class SpeakerEmbeddingExtractorGeneralImpl
: public SpeakerEmbeddingExtractorImpl {
public:
explicit SpeakerEmbeddingExtractorWeSpeakerImpl(
explicit SpeakerEmbeddingExtractorGeneralImpl(
const SpeakerEmbeddingExtractorConfig &config)
: model_(config) {}
@@ -25,7 +26,7 @@ class SpeakerEmbeddingExtractorWeSpeakerImpl
std::unique_ptr<OnlineStream> CreateStream() const override {
FeatureExtractorConfig feat_config;
auto meta_data = model_.GetMetaData();
const auto &meta_data = model_.GetMetaData();
feat_config.sampling_rate = meta_data.sample_rate;
feat_config.normalize_samples = meta_data.normalize_samples;
@@ -52,6 +53,17 @@ class SpeakerEmbeddingExtractorWeSpeakerImpl
int32_t feat_dim = features.size() / num_frames;
const auto &meta_data = model_.GetMetaData();
if (!meta_data.feature_normalize_type.empty()) {
if (meta_data.feature_normalize_type == "global-mean") {
SubtractGlobalMean(features.data(), num_frames, feat_dim);
} else {
SHERPA_ONNX_LOGE("Unsupported feature_normalize_type: %s",
meta_data.feature_normalize_type.c_str());
exit(-1);
}
}
auto memory_info =
Ort::MemoryInfo::CreateCpu(OrtDeviceAllocator, OrtMemTypeDefault);
@@ -71,9 +83,19 @@ class SpeakerEmbeddingExtractorWeSpeakerImpl
}
private:
SpeakerEmbeddingExtractorWeSpeakerModel model_;
void SubtractGlobalMean(float *p, int32_t num_frames,
int32_t feat_dim) const {
auto m = Eigen::Map<
Eigen::Matrix<float, Eigen::Dynamic, Eigen::Dynamic, Eigen::RowMajor>>(
p, num_frames, feat_dim);
m = m.rowwise() - m.colwise().mean();
}
private:
SpeakerEmbeddingExtractorModel model_;
};
} // namespace sherpa_onnx
#endif // SHERPA_ONNX_CSRC_SPEAKER_EMBEDDING_EXTRACTOR_WESPEAKER_IMPL_H_
#endif // SHERPA_ONNX_CSRC_SPEAKER_EMBEDDING_EXTRACTOR_GENERAL_IMPL_H_

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@@ -5,7 +5,7 @@
#include "sherpa-onnx/csrc/macros.h"
#include "sherpa-onnx/csrc/onnx-utils.h"
#include "sherpa-onnx/csrc/speaker-embedding-extractor-wespeaker-impl.h"
#include "sherpa-onnx/csrc/speaker-embedding-extractor-general-impl.h"
namespace sherpa_onnx {
@@ -13,6 +13,7 @@ namespace {
enum class ModelType {
kWeSpeaker,
k3dSpeaker,
kUnkown,
};
@@ -49,6 +50,8 @@ static ModelType GetModelType(char *model_data, size_t model_data_length,
if (model_type.get() == std::string("wespeaker")) {
return ModelType::kWeSpeaker;
} else if (model_type.get() == std::string("3d-speaker")) {
return ModelType::k3dSpeaker;
} else {
SHERPA_ONNX_LOGE("Unsupported model_type: %s", model_type.get());
return ModelType::kUnkown;
@@ -68,7 +71,9 @@ SpeakerEmbeddingExtractorImpl::Create(
switch (model_type) {
case ModelType::kWeSpeaker:
return std::make_unique<SpeakerEmbeddingExtractorWeSpeakerImpl>(config);
// fall through
case ModelType::k3dSpeaker:
return std::make_unique<SpeakerEmbeddingExtractorGeneralImpl>(config);
case ModelType::kUnkown:
SHERPA_ONNX_LOGE(
"Unknown model type in for speaker embedding extractor!");

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@@ -0,0 +1,28 @@
// sherpa-onnx/csrc/speaker-embedding-extractor-model-meta-data.h
//
// Copyright (c) 2023 Xiaomi Corporation
#ifndef SHERPA_ONNX_CSRC_SPEAKER_EMBEDDING_EXTRACTOR_MODEL_META_DATA_H_
#define SHERPA_ONNX_CSRC_SPEAKER_EMBEDDING_EXTRACTOR_MODEL_META_DATA_H_
#include <cstdint>
#include <string>
namespace sherpa_onnx {
struct SpeakerEmbeddingExtractorModelMetaData {
int32_t output_dim = 0;
int32_t sample_rate = 0;
// for wespeaker models, it is 0;
// for 3d-speaker models, it is 1
int32_t normalize_samples = 1;
// Chinese, English, etc.
std::string language;
// for 3d-speaker, it is global-mean
std::string feature_normalize_type;
};
} // namespace sherpa_onnx
#endif // SHERPA_ONNX_CSRC_SPEAKER_EMBEDDING_EXTRACTOR_MODEL_META_DATA_H_

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@@ -1,8 +1,8 @@
// sherpa-onnx/csrc/speaker-embedding-extractor-wespeaker-model.cc
// sherpa-onnx/csrc/speaker-embedding-extractor-model.cc
//
// Copyright (c) 2023 Xiaomi Corporation
// Copyright (c) 2023-2024 Xiaomi Corporation
#include "sherpa-onnx/csrc/speaker-embedding-extractor-wespeaker-model.h"
#include "sherpa-onnx/csrc/speaker-embedding-extractor-model.h"
#include <string>
#include <utility>
@@ -11,11 +11,11 @@
#include "sherpa-onnx/csrc/macros.h"
#include "sherpa-onnx/csrc/onnx-utils.h"
#include "sherpa-onnx/csrc/session.h"
#include "sherpa-onnx/csrc/speaker-embedding-extractor-wespeaker-model-metadata.h"
#include "sherpa-onnx/csrc/speaker-embedding-extractor-model-meta-data.h"
namespace sherpa_onnx {
class SpeakerEmbeddingExtractorWeSpeakerModel::Impl {
class SpeakerEmbeddingExtractorModel::Impl {
public:
explicit Impl(const SpeakerEmbeddingExtractorConfig &config)
: config_(config),
@@ -37,7 +37,7 @@ class SpeakerEmbeddingExtractorWeSpeakerModel::Impl {
return std::move(outputs[0]);
}
const SpeakerEmbeddingExtractorWeSpeakerModelMetaData &GetMetaData() const {
const SpeakerEmbeddingExtractorModelMetaData &GetMetaData() const {
return meta_data_;
}
@@ -65,10 +65,13 @@ class SpeakerEmbeddingExtractorWeSpeakerModel::Impl {
"normalize_samples");
SHERPA_ONNX_READ_META_DATA_STR(meta_data_.language, "language");
SHERPA_ONNX_READ_META_DATA_STR_WITH_DEFAULT(
meta_data_.feature_normalize_type, "feature_normalize_type", "");
std::string framework;
SHERPA_ONNX_READ_META_DATA_STR(framework, "framework");
if (framework != "wespeaker") {
SHERPA_ONNX_LOGE("Expect a wespeaker model, given: %s",
if (framework != "wespeaker" && framework != "3d-speaker") {
SHERPA_ONNX_LOGE("Expect a wespeaker or a 3d-speaker model, given: %s",
framework.c_str());
exit(-1);
}
@@ -88,24 +91,21 @@ class SpeakerEmbeddingExtractorWeSpeakerModel::Impl {
std::vector<std::string> output_names_;
std::vector<const char *> output_names_ptr_;
SpeakerEmbeddingExtractorWeSpeakerModelMetaData meta_data_;
SpeakerEmbeddingExtractorModelMetaData meta_data_;
};
SpeakerEmbeddingExtractorWeSpeakerModel::
SpeakerEmbeddingExtractorWeSpeakerModel(
const SpeakerEmbeddingExtractorConfig &config)
SpeakerEmbeddingExtractorModel::SpeakerEmbeddingExtractorModel(
const SpeakerEmbeddingExtractorConfig &config)
: impl_(std::make_unique<Impl>(config)) {}
SpeakerEmbeddingExtractorWeSpeakerModel::
~SpeakerEmbeddingExtractorWeSpeakerModel() = default;
SpeakerEmbeddingExtractorModel::~SpeakerEmbeddingExtractorModel() = default;
const SpeakerEmbeddingExtractorWeSpeakerModelMetaData &
SpeakerEmbeddingExtractorWeSpeakerModel::GetMetaData() const {
const SpeakerEmbeddingExtractorModelMetaData &
SpeakerEmbeddingExtractorModel::GetMetaData() const {
return impl_->GetMetaData();
}
Ort::Value SpeakerEmbeddingExtractorWeSpeakerModel::Compute(
Ort::Value x) const {
Ort::Value SpeakerEmbeddingExtractorModel::Compute(Ort::Value x) const {
return impl_->Compute(std::move(x));
}

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@@ -0,0 +1,37 @@
// sherpa-onnx/csrc/speaker-embedding-extractor-model.h
//
// Copyright (c) 2023-2024 Xiaomi Corporation
#ifndef SHERPA_ONNX_CSRC_SPEAKER_EMBEDDING_EXTRACTOR_MODEL_H_
#define SHERPA_ONNX_CSRC_SPEAKER_EMBEDDING_EXTRACTOR_MODEL_H_
#include <memory>
#include "onnxruntime_cxx_api.h" // NOLINT
#include "sherpa-onnx/csrc/speaker-embedding-extractor-model-meta-data.h"
#include "sherpa-onnx/csrc/speaker-embedding-extractor.h"
namespace sherpa_onnx {
class SpeakerEmbeddingExtractorModel {
public:
explicit SpeakerEmbeddingExtractorModel(
const SpeakerEmbeddingExtractorConfig &config);
~SpeakerEmbeddingExtractorModel();
const SpeakerEmbeddingExtractorModelMetaData &GetMetaData() const;
/**
* @param x A float32 tensor of shape (N, T, C)
* @return A float32 tensor of shape (N, C)
*/
Ort::Value Compute(Ort::Value x) const;
private:
class Impl;
std::unique_ptr<Impl> impl_;
};
} // namespace sherpa_onnx
#endif // SHERPA_ONNX_CSRC_SPEAKER_EMBEDDING_EXTRACTOR_MODEL_H_

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@@ -1,20 +0,0 @@
// sherpa-onnx/csrc/speaker-embedding-extractor-wespeaker-model-metadata.h
//
// Copyright (c) 2023 Xiaomi Corporation
#ifndef SHERPA_ONNX_CSRC_SPEAKER_EMBEDDING_EXTRACTOR_WESPEAKER_MODEL_METADATA_H_
#define SHERPA_ONNX_CSRC_SPEAKER_EMBEDDING_EXTRACTOR_WESPEAKER_MODEL_METADATA_H_
#include <cstdint>
#include <string>
namespace sherpa_onnx {
struct SpeakerEmbeddingExtractorWeSpeakerModelMetaData {
int32_t output_dim = 0;
int32_t sample_rate = 0;
int32_t normalize_samples = 0;
std::string language;
};
} // namespace sherpa_onnx
#endif // SHERPA_ONNX_CSRC_SPEAKER_EMBEDDING_EXTRACTOR_WESPEAKER_MODEL_METADATA_H_

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@@ -1,37 +0,0 @@
// sherpa-onnx/csrc/speaker-embedding-extractor-wespeaker-model.h
//
// Copyright (c) 2023 Xiaomi Corporation
#ifndef SHERPA_ONNX_CSRC_SPEAKER_EMBEDDING_EXTRACTOR_WESPEAKER_MODEL_H_
#define SHERPA_ONNX_CSRC_SPEAKER_EMBEDDING_EXTRACTOR_WESPEAKER_MODEL_H_
#include <memory>
#include "onnxruntime_cxx_api.h" // NOLINT
#include "sherpa-onnx/csrc/speaker-embedding-extractor-wespeaker-model-metadata.h"
#include "sherpa-onnx/csrc/speaker-embedding-extractor.h"
namespace sherpa_onnx {
class SpeakerEmbeddingExtractorWeSpeakerModel {
public:
explicit SpeakerEmbeddingExtractorWeSpeakerModel(
const SpeakerEmbeddingExtractorConfig &config);
~SpeakerEmbeddingExtractorWeSpeakerModel();
const SpeakerEmbeddingExtractorWeSpeakerModelMetaData &GetMetaData() const;
/**
* @param x A float32 tensor of shape (N, T, C)
* @return A float32 tensor of shape (N, C)
*/
Ort::Value Compute(Ort::Value x) const;
private:
class Impl;
std::unique_ptr<Impl> impl_;
};
} // namespace sherpa_onnx
#endif // SHERPA_ONNX_CSRC_SPEAKER_EMBEDDING_EXTRACTOR_WESPEAKER_MODEL_H_