Audio-Visual Convo: Natural Conversations Between Friends

A multimodal dataset of natural conversations between pairs of friends, captured with two simultaneous camera angles and a separate audio recording. Each sample is a side-by-side video combining both camera views with the original audio track. The dataset was created by liva-ai and last updated on 2026-06-09.

Use Cases

• Train models for conversational turn-taking prediction based on synchronized audio and video.
• Develop multimodal emotion recognition systems based on facial expressions and vocal tone.
• Analyze non-verbal communication cues in casual dialogue based on dual camera angles.
• Benchmark audio-visual synchronization algorithms for natural conversation data.

Strengths

• Captures natural conversations between friends, likely providing authentic interaction data.
• Includes two simultaneous camera angles, offering multiple visual perspectives per conversation.
• Contains separate audio recordings, which may allow for high-fidelity acoustic analysis.

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.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

liva-ai

Collection Method

Likely involves recording pairs of friends in conversation using multiple cameras and audio equipment.

Freshness

Last updated 2026-06-09 18:52:19; freshness should be verified.