Dev Tools · 1h ago
Pyannote Segmentation 3.0 Runs Speaker Detection via ONNX Runtime
A developer tested Pyannote Segmentation 3.0 with ONNX Runtime to detect speaker changes in a 14-second two-person conversation. The model split six alternating utterances into separate WAV files using only CPU inference. The test did not perform full speaker diarization, as it skipped embedding comparison and clustering.
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The approach is a useful building block for speaker segmentation but stops short of identifying the same speaker across a longer recording.
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Detecting Speaker Changes with Pyannote Segmentation 3.0 and ONNX Runtime →
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speaker-diarizationonnx-runtime