ud-nlp/call-center-audio

Call Center Dataset - 13,000+ Hours

Dataset is a large audio dataset containing 13,000+ hours of real-world customer service calls from global call centers, featuring 90%+ unique speakers and time-stamped transcripts for accurate speech recognition, speaker diarization, and conversational AI model training. - Get the data

Dataset characteristics:

Characteristic	Data
Description	Audio of real customer service calls
Data types	Audio
Tasks	Speech Recognition, Speaker Diarization
Hours of audio	13,000+
Language	English: 96%, Spanish: 2.5%, Hindi: 1%, Other languages: 0.5%
Labeling	Metadata (id, company, category, device, OS, city, state, country, duration, wait time, transcription, AI summary)

📊 Sample dataset available! For full access, contact us to discuss purchase terms.

Dataset structure

• files - audio files
• metainfo.csv - metadata for files

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Similar Datasets:

1. American Speech Recognition Dataset
2. Human-Robot Conversation Dataset (English)
3. Audio Dataset: Various Music Genres

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