C++ API for speaker diarization (#1396)

2024-10-09 12:01:20 +08:00
parent 70165cb42d
commit 59407edcad
39 changed files with 1652 additions and 108 deletions
--- a/sherpa-onnx/csrc/offline-speaker-segmentation-pyannote-model.cc
+++ b/sherpa-onnx/csrc/offline-speaker-segmentation-pyannote-model.cc
@@ -0,0 +1,108 @@
+// sherpa-onnx/csrc/offline-speaker-segmentation-pyannote-model.cc
+//
+// Copyright (c)  2024  Xiaomi Corporation
+
+#include "sherpa-onnx/csrc/offline-speaker-segmentation-pyannote-model.h"
+
+#include <string>
+#include <utility>
+#include <vector>
+
+#include "sherpa-onnx/csrc/onnx-utils.h"
+#include "sherpa-onnx/csrc/session.h"
+
+namespace sherpa_onnx {
+
+class OfflineSpeakerSegmentationPyannoteModel::Impl {
+ public:
+  explicit Impl(const OfflineSpeakerSegmentationModelConfig &config)
+      : config_(config),
+        env_(ORT_LOGGING_LEVEL_ERROR),
+        sess_opts_(GetSessionOptions(config)),
+        allocator_{} {
+    auto buf = ReadFile(config_.pyannote.model);
+    Init(buf.data(), buf.size());
+  }
+
+  const OfflineSpeakerSegmentationPyannoteModelMetaData &GetModelMetaData()
+      const {
+    return meta_data_;
+  }
+
+  Ort::Value Forward(Ort::Value x) {
+    auto out = sess_->Run({}, input_names_ptr_.data(), &x, 1,
+                          output_names_ptr_.data(), output_names_ptr_.size());
+
+    return std::move(out[0]);
+  }
+
+ private:
+  void Init(void *model_data, size_t model_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;
+      PrintModelMetadata(os, meta_data);
+      SHERPA_ONNX_LOGE("%s\n", os.str().c_str());
+    }
+
+    Ort::AllocatorWithDefaultOptions allocator;  // used in the macro below
+    SHERPA_ONNX_READ_META_DATA(meta_data_.sample_rate, "sample_rate");
+    SHERPA_ONNX_READ_META_DATA(meta_data_.window_size, "window_size");
+
+    meta_data_.window_shift =
+        static_cast<int32_t>(0.1 * meta_data_.window_size);
+
+    SHERPA_ONNX_READ_META_DATA(meta_data_.receptive_field_size,
+                               "receptive_field_size");
+    SHERPA_ONNX_READ_META_DATA(meta_data_.receptive_field_shift,
+                               "receptive_field_shift");
+    SHERPA_ONNX_READ_META_DATA(meta_data_.num_speakers, "num_speakers");
+    SHERPA_ONNX_READ_META_DATA(meta_data_.powerset_max_classes,
+                               "powerset_max_classes");
+    SHERPA_ONNX_READ_META_DATA(meta_data_.num_classes, "num_classes");
+  }
+
+ private:
+  OfflineSpeakerSegmentationModelConfig 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_;
+
+  OfflineSpeakerSegmentationPyannoteModelMetaData meta_data_;
+};
+
+OfflineSpeakerSegmentationPyannoteModel::
+    OfflineSpeakerSegmentationPyannoteModel(
+        const OfflineSpeakerSegmentationModelConfig &config)
+    : impl_(std::make_unique<Impl>(config)) {}
+
+OfflineSpeakerSegmentationPyannoteModel::
+    ~OfflineSpeakerSegmentationPyannoteModel() = default;
+
+const OfflineSpeakerSegmentationPyannoteModelMetaData &
+OfflineSpeakerSegmentationPyannoteModel::GetModelMetaData() const {
+  return impl_->GetModelMetaData();
+}
+
+Ort::Value OfflineSpeakerSegmentationPyannoteModel::Forward(
+    Ort::Value x) const {
+  return impl_->Forward(std::move(x));
+}
+
+}  // namespace sherpa_onnx