VoxCeleb Dataset: Real-World Speech for Speaker Recognition

nazemi

model-dataset

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norwooodsystems

Xiaoyi LU

coderlu

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norwooodsystems

Downloading VoxCeleb1 (Hugging Face)

You can download the VoxCeleb1 dataset from Hugging Face using:

wget https://huggingface.co/datasets/ProgramComputer/voxceleb/resolve/main/vox1/vox1_dev_wav_partaa
wget https://huggingface.co/datasets/ProgramComputer/voxceleb/resolve/main/vox1/vox1_dev_wav_partab
wget https://huggingface.co/datasets/ProgramComputer/voxceleb/resolve/main/vox1/vox1_dev_wav_partac
wget https://huggingface.co/datasets/ProgramComputer/voxceleb/resolve/main/vox1/vox1_dev_wav_partad

cat vox1_dev_wav_part* > vox1_dev_wav.zip
unzip vox1_dev_wav.zip

What is VoxCeleb?

VoxCeleb1 is a large-scale audio dataset consisting of real human speech recordings collected from publicly available video content.

It was created by researchers at the Visual Geometry Group (VGG), University of Oxford.

Source of the Audio

The dataset is built from:

• YouTube interview videos
• Talk shows
• Press conferences
• Public speeches

Data Collection Pipeline

1. Face recognition identifies a celebrity in a video
2. Active speaker detection determines when they are speaking
3. Audio extraction isolates their speech
4. Clips are saved as short .wav files

Key Characteristics

• Natural human speech
• Real-world recording conditions
• Background noise and variability
• Not synthetic or AI-generated

Dataset Properties

• Format: WAV
• Sample Rate: 16 kHz
• Min duration: 3.96 seconds
• Max duration: 144.92 seconds
• Speakers: 1,251 celebrities
• Total Clips: ~148,642 utterances

Directory Structure

wav/
   id10001/
      1zcIwhmdeo4/
         00001.wav
         00002.wav

Each .wav file represents a short segment of speech from a video.

Why VoxCeleb Matters

VoxCeleb is widely used in research and industry for:

• Speaker recognition
• Speaker verification
• Voice cloning
• Speech embeddings (x-vectors, ECAPA-TDNN)

Because it captures real-world variability, it is more representative than clean, studio-recorded datasets.

Final Thoughts

With over 148K real speech samples, VoxCeleb remains one of the most important datasets for building robust speaker AI systems. Its diversity and realism make it a cornerstone for modern voice technologies.

If you are working on speaker models, VoxCeleb is a highly valuable dataset. VoxCeleb is actually one of the best datasets for training speaker embeddings.