ICSD: An Open-source Dataset for Infant Cry and Snoring Detection

An open-source audio dataset for detecting infant cries and snoring sounds. It contains over 4 hours of audio data with corresponding annotations, created by QingyuLiu1 and last updated in June 2025.

Use Cases

• Train sound event detection models based on labeled infant cry and snoring audio.
• Develop audio classification systems for infant monitoring applications.
• Benchmark machine learning algorithms for bio-acoustic signal processing.
• Create data augmentation pipelines for medical audio datasets.

Strengths

• Contains over 4 hours of annotated audio data.
• Specifically focuses on infant cry and snoring sounds, a niche domain.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file formats are unknown, which may limit suitability assessment.

Provenance

Source

huggingface

Collection Method

Collection method is not specified in the provided description.

Time Range

Temporal coverage is not specified.

Freshness

Last updated 2025-06-11 02:20:05.

Geography

Spatial coverage is not specified.