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audio-speaker-tools - Speaker separation and voice comparison tools

Separate speakers from audio files, compare voice samples, and process audio segments using Demucs, pyannote, and Resemblyzer.

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Updated: 2026-03-24

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • separate speakers from audio
  • compare voice samples
  • extract audio segments
  • measure speaker similarity
  • validate speaker diarization results
  • convert audio formats

Inputs

  • Audio files
  • HuggingFace token

Outputs

  • Speaker WAV files
  • RTTM file
  • JSON segments metadata
  • Voice similarity scores

Requirements

  • Python 3.9+
  • ffmpeg
  • HuggingFace token
  • HuggingFace model access

Source

  • Spec: SKILL.md

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audio processing
speaker diarization
voice cloning
speaker verification
audio segmentation
separate speakers from audio
compare voice samples
extract audio segments
measure speaker similarity
Audio files
HuggingFace token
Speaker WAV files
RTTM file
JSON segments metadata