Choir Voice Recordings with IoT Sensor Metrics

Kaggle's Choir Voice Performance Dataset contains multi-voice audio recordings paired with IoT sensor metrics. The dataset is designed for analyzing vocal performance through synchronized audio and sensor data. The author and specific collection date are not provided.

Use Cases

• Classify vocal parts (e.g., soprano, alto) from multi-voice audio features.
• Correlate physiological IoT sensor metrics with audio pitch or intensity for performance analysis.
• Train models to detect vocal strain or fatigue using combined audio and sensor time-series data.
• Develop source separation algorithms on the multi-voice audio tracks.

Strengths

• Contains synchronized audio and IoT sensor data streams.
• Features multi-voice recordings, enabling polyphonic analysis.

Limitations

• Unknown sample size and recording duration limit reproducibility.
• Lack of column names or metadata obscures specific sensor types and audio features.
• Geographic and demographic context for performers is unavailable.

Provenance

Source

Kaggle

Collection Method

Collected via audio recordings and IoT sensors during choir performances.