metadata
license: mit
library_name: coreml
pipeline_tag: voice-activity-detection
base_model: pyannote/segmentation-3.0
base_model_relation: quantized
tags:
- coreml
- core-ml
- ios
- macos
- apple
- on-device
- speaker-diarization
- vad
- pyannote
- arxiv:2310.13025
Pyannote Diarization — Core ML
Speaker Identification
Speaker diarization: who spoke when. 16 kHz mono, 10s segments.
Core ML conversion of pyannote/pyannote-audio for on-device inference on iPhone, iPad and Mac. Converted with coremltools; the packages are stateless, so all sequencing and buffering lives in your Swift code.
| Task | voice activity detection |
| Upstream | pyannote/pyannote-audio |
| Packages | 1 |
| Download size | 5 MB |
| Minimum iOS | 17.0 |
| Peak RAM | ~200 MB |
Files
| File | Size | Compute units | SHA-256 |
|---|---|---|---|
SpeakerSegmentation.mlpackage.zip |
5 MB | cpuAndGPU |
dcfa2b98900f2b99… |
| Total | 5 MB |
compute_units is not a suggestion -- it is the configuration the conversion was verified against. Moving a package to a different compute unit can silently change the numerics (FP16 attention overflow) or crash on the GPU.
Download
hf download mlboydaisuke/coreml-zoo --include "diarization/*" --local-dir ./diarization
unzip './diarization/diarization/*.zip' -d ./diarization
Use in Swift
import CoreML
let config = MLModelConfiguration()
config.computeUnits = .cpuAndGPU // as converted — see the table above
// Unzip the .mlpackage, drop it into your Xcode target and Xcode compiles it
// at build time:
let model = try SpeakerSegmentation(configuration: config)
// ...or compile a downloaded .mlpackage at runtime:
let compiled = try await MLModel.compileModel(at: mlpackageURL)
let model = try MLModel(contentsOf: compiled, configuration: config)
Demo
- Sample app —
sample_apps/DiarizationDemo, a standalone SwiftUI project. - Models Zoo — this model is downloadable and runnable inside the Models Zoo app on the App Store, no build required.
Conversion
- Script:
convert_diarization.py - Pitfalls hit during conversion (FP16 overflow, ANE buffer limits, stride handling):
docs/coreml_conversion_notes.md - Model index: CoreML-Models
License
The conversion inherits the upstream license: MIT.
Credits
- Upstream authors: pyannote/pyannote-audio, 2021
- Core ML conversion: john-rocky (Daisuke Majima)