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base_model:
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- pyannote/speaker-diarization-3.1
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- pyannote/wespeaker-voxceleb-resnet34-LM
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language:
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- all
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# Speaker Diarization CoreML Models
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State-of-the-art speaker diarization models optimized for Apple Neural Engine, powering real-time on-device speaker separation with research-competitive performance.
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## Model Description
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This repository contains CoreML-optimized speaker diarization models specifically converted and optimized for Apple devices (macOS 13.0+, iOS 16.0+). These models enable efficient on-device speaker diarization with minimal power consumption while maintaining state-of-the-art accuracy.
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base_model:
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- pyannote/speaker-diarization-3.1
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- pyannote/wespeaker-voxceleb-resnet34-LM
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---
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# Speaker Diarization CoreML Models
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State-of-the-art speaker diarization models optimized for Apple Neural Engine, powering real-time on-device speaker separation with research-competitive performance.
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Support any language, models are trained on acoustic signatures
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## Model Description
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This repository contains CoreML-optimized speaker diarization models specifically converted and optimized for Apple devices (macOS 13.0+, iOS 16.0+). These models enable efficient on-device speaker diarization with minimal power consumption while maintaining state-of-the-art accuracy.
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