Dataset Card for the Callhome dataset for speaker diarization

The CALLHOME Corpus is a collection of unscripted telephone conversations between native speakers in Chinese, English, German, Japanese and Spanish.

This is a processed version of the original Callhome dataset from the TalkBank corpora taken from here. It contains subsets in Chinese, English, German, Japanese and Spanish:

• More information on the Chinese subset
• More information on the English subset
• More information on the German subset
• More information on the Japanese subset
• More information on the Spanish subset

Note: This dataset has been processed using diarizers. It makes the dataset compatible with the diarizers library to fine-tune pyannote segmentation models. In particular, we only keep the annotated parts of the callhome dataset. For more information on how the dataset has been processed, refer to diarizers.

Example Usage

from datasets import load_dataset
ds = load_dataset("diarizers-community/callhome", "jpn")
print(ds)

gives:

DatasetDict({
    train: Dataset({
        features: ['audio', 'timestamps_start', 'timestamps_end', 'speakers'],
        num_rows: 120
    })
})

Dataset source and citation:

Chinese Corpus:

• Participants: 140
• Type of Study: phone call
• Location: China
• Media type: audio
• DOI: doi:10.21415/T54022

English

• Participants: 120
• Type of Study: naturalistic
• Location: USA
• Media type: audio
• DOI: doi:10.21415/T5KP54

German

• Participants: 100
• Type of Study: phone call
• Location: United States
• Media type: audio
• DOI: doi:10.21415/T56P4B

Japanese

• Participants: 120
• Type of Study: phone call
• Location: United States
• Media type: audio
• DOI: doi:10.21415/T5H59V

Spanish

• Participants: 120
• Type of Study: phone call
• Location: United States
• Media type: audio
• DOI: doi:10.21415/T51K54

Contribution

Thanks to @kamil-akesbi and sanchit-gandhi for the contribution.