Russian Call Center Audio Dataset with Dual-Channel Recordings

1,025 hours of processed Russian dual-channel call center audio recordings form this dataset. 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 2026-06-03.

Use Cases

• Train speech-to-text models based on real-world Russian call center conversations.
• Develop speaker diarization systems based on the dual-channel format separating agent and customer audio.
• Build and evaluate conversational AI or voice assistant systems based on customer service dialogue patterns.
• Analyze acoustic characteristics of call center environments for noise reduction or audio enhancement models.

Strengths

• Contains 1,025 hours of processed Russian-language audio.
• Features a dual-channel format likely separating agent and customer speech.
• Based on real-world call center recordings, providing authentic data.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• The description contains a contradictory figure (2,065,026 hours across 32 languages) that cannot be reconciled with the primary 1,025-hour figure for Russian.

Provenance

Source

InfoBayAI

Collection Method

Collected from real-world call center environments.

Freshness

Last updated 2026-06-03 05:53:27; freshness should be verified.