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pyannote - Speaker Recognition Benchmark

Prerequisites

  • Ubuntu 22.04 (x86_64)
  • Git
  • Python 3.7+
  • PIP
  • pyannote authentication token

Usage

  1. Clone the repository:
git clone https://github.com/Picovoice/speaker-recognition-benchmark.git
  1. Install the dependencies:
pip3 install -r requirements.txt
  1. Run the benchmark:
python3 benchmark.py \
--type {ACCURACY|CPU|MEMORY} \
--dataset ${DATASET} \
--data-folder ${DATA_FOLDER} \
--label-folder ${LABEL_FOLDER} \
--engine PYANNOTE \
--auth-token ${AUTH_TOKEN}

Where:

  • type is the type of benchmark to run. It can be ACCURACY or CPU.
  • dataset is the name of the dataset to use.
  • data-folder is the path to the folder containing the audio files.
  • label-folder is the path to the folder containing the label files.
  • auth-token is the authentication token obtained from their Hugging Face page.

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