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build(deps): bump github.com/argmaxinc/whisperkit from 0.16.0 to 0.17.0 in /app/MeetingTranscriber#41

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pasrom merged 1 commit intomainfrom
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Mar 19, 2026
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build(deps): bump github.com/argmaxinc/whisperkit from 0.16.0 to 0.17.0 in /app/MeetingTranscriber#41
pasrom merged 1 commit intomainfrom
dependabot/swift/app/MeetingTranscriber/github.com/argmaxinc/whisperkit-0.17.0

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@dependabot dependabot bot commented on behalf of github Mar 18, 2026

Bumps github.com/argmaxinc/whisperkit from 0.16.0 to 0.17.0.

Release notes

Sourced from github.com/argmaxinc/whisperkit's releases.

v0.17.0

Highlights

We're excited to bring our commercial-grade speaker diarization framework, SpeakerKit, to open-source!

With NVIDIA Sortformer now powering real-time speaker diarization in the Argmax Pro SDK, we're open-sourcing our implementation of Pyannote 4 (community-1). Pyannote is well-known for solving the "who spoke when" problem and has shown strong results on datasets such as AMI, DIHARD, and VoxConverse. Read the blog post for architecture details and benchmarks.

Quickstart

Download, load, diarize, and generate RTTM (Rich Transcription Time Marked) output in just a few lines of code:

import SpeakerKit

let speakerKit = try await SpeakerKit()
let result = try await speakerKit.diarize(audioPath: "audio.wav")
let rttm = speakerKit.generateRTTM(result: result)

Key features

  • End-to-end Pyannote-style diarization pipeline
  • Automatically estimate the number of speakers or set it manually
  • Utilities to add speaker information to WhisperKit outputs
  • Standard RTTM export

Explore the new SpeakerKit README section for API documentation, configuration details, and optimization tips.

CLI

whisperkit-cli now includes a dedicated diarize subcommand:

swift run -c release whisperkit-cli diarize --audio-path audio.wav --rttm-path output.rttm

With Homebrew:

brew install whisperkit-cli
whisperkit-cli diarize --audio-path audio.wav --rttm-path output.rttm

You can also run transcription and diarization together using the new --diarization flag:

whisperkit-cli transcribe --audio-path audio.wav --diarization

Example output:

---- Speaker Diarization Results ----
SPEAKER audio 1 0.220 7.360 What is RLHF? reinforcement learning with human feedback. What was that little magic ingredient to the dish that made it so much more delicious? <NA> A <NA> <NA>
</tr></table> 

... (truncated)

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Bumps [github.com/argmaxinc/whisperkit](https://github.com/argmaxinc/WhisperKit) from 0.16.0 to 0.17.0.
- [Release notes](https://github.com/argmaxinc/WhisperKit/releases)
- [Commits](argmaxinc/WhisperKit@v0.16.0...v0.17.0)

---
updated-dependencies:
- dependency-name: github.com/argmaxinc/whisperkit
  dependency-version: 0.17.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot bot added dependencies Pull requests that update a dependency file swift_package_manager Pull requests that update swift_package_manager code labels Mar 18, 2026
@github-actions github-actions bot added the chore Maintenance or non-functional changes label Mar 18, 2026
@pasrom pasrom merged commit d08989e into main Mar 19, 2026
5 of 7 checks passed
@pasrom pasrom deleted the dependabot/swift/app/MeetingTranscriber/github.com/argmaxinc/whisperkit-0.17.0 branch March 19, 2026 04:40
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