WeSpeaker - Speaker Recognition Benchmark

Prerequisites

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

Usage

1. Clone the repository:

git clone https://github.com/Picovoice/speaker-recognition-benchmark.git

2. Install the dependencies:

pip3 install -r requirements.txt

3. Run the benchmark:

python3 benchmark.py \
    --type {ACCURACY|CPU} \
    --dataset ${DATASET} \
    --data-folder ${DATA_FOLDER} \
    --label-folder ${LABEL_FOLDER} \
    --engine WESPEAKER \
    --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.