C++ API for speaker diarization (#1396)

sherpa-onnx/csrc/offline-speaker-segmentation-pyannote-model.h

@@ -0,0 +1,40 @@
+// sherpa-onnx/csrc/offline-speaker-segmentation-pyannote-model.h
+//
+// Copyright (c)  2024  Xiaomi Corporation
+#ifndef SHERPA_ONNX_CSRC_OFFLINE_SPEAKER_SEGMENTATION_PYANNOTE_MODEL_H_
+#define SHERPA_ONNX_CSRC_OFFLINE_SPEAKER_SEGMENTATION_PYANNOTE_MODEL_H_
+
+#include <memory>
+
+#include "onnxruntime_cxx_api.h"  // NOLINT
+#include "sherpa-onnx/csrc/offline-speaker-segmentation-model-config.h"
+#include "sherpa-onnx/csrc/offline-speaker-segmentation-pyannote-model-meta-data.h"
+
+namespace sherpa_onnx {
+
+class OfflineSpeakerSegmentationPyannoteModel {
+ public:
+  explicit OfflineSpeakerSegmentationPyannoteModel(
+      const OfflineSpeakerSegmentationModelConfig &config);
+
+  ~OfflineSpeakerSegmentationPyannoteModel();
+
+  const OfflineSpeakerSegmentationPyannoteModelMetaData &GetModelMetaData()
+      const;
+
+  /**
+   * @param x A 3-D float tensor of shape (batch_size, 1, num_samples)
+   * @return Return a float tensor of
+   *         shape (batch_size, num_frames, num_speakers). Note that
+   *         num_speakers here uses powerset encoding.
+   */
+  Ort::Value Forward(Ort::Value x) const;
+
+ private:
+  class Impl;
+  std::unique_ptr<Impl> impl_;
+};
+
+}  // namespace sherpa_onnx
+
+#endif  // SHERPA_ONNX_CSRC_OFFLINE_SPEAKER_SEGMENTATION_PYANNOTE_MODEL_H_