Arabic Call Center Audio with Dual-Channel Recordings, 50,068 Hours

50,068 hours of processed Arabic dual-channel call center audio recordings form the core of this dataset, which also includes 2,065,026 hours of audio across 32 languages. It consists of real-world customer and agent speech collected from call center environments. The dataset was created by InfoBayAI and was last updated on June 5, 2026.

Use Cases

• Train automatic speech recognition (ASR) models based on real-world Arabic call center conversations.
• Develop speaker diarization systems based on the dual-channel format separating customer and agent audio.
• Build and evaluate conversational AI agents for customer service based on the recorded dialogue interactions.
• Conduct linguistic or acoustic analysis of Arabic dialects and speech patterns based on call center audio.

Strengths

• Contains 50,068 hours of processed Arabic call center audio, providing substantial material for model training.
• Features a dual-channel format, which likely separates customer and agent speech for clearer analysis.
• Includes audio across 32 languages, suggesting potential for multilingual speech model development.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality, recording conditions, and annotation details require manual inspection after download.
• The dataset's specific license is unknown, which may restrict permissible use cases.

Provenance

Source

InfoBayAI

Collection Method

Real-world customer and agent speech recordings collected from call center environments.

Freshness

Last updated 2026-06-05 05:20:59; freshness should be verified.