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Infant Cry Detection Dataset — 50+ Hours of Real Baby Cry Audio
50+ hours of real infant cry recordings for training infant cry detection, cry classification, and sound event detection models. Manually verified files captured in natural domestic conditions, with per-file metadata on location, background noise, and recording device
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Key Highlights
- 50+ hours of real-world infant cry audio
- Manually verified - every recording reviewed for clear cry audibility
- Indoor + outdoor capture conditions
- Background noise variation - quiet, moderate, and noisy environments
- No synthetic audio, no augmentation, no AI-generated content
- Smartphone-first recordings (matches baby monitor deployment conditions)
- Commercial license available - full version cleared for production use
Use This Dataset For
- Infant cry detection - train binary or multi-class cry detectors for smart baby monitors, IoT cameras, and nursery devices
- Sound event detection (SED) - cry as a target class in AudioSet-style models
- Sleep tracking applications - detect cry events to estimate infant sleep quality
- Cry-aware smart home automation - trigger lighting, audio response, or parent notifications
- Parental support apps - distinguish cry from other infant sounds (cooing, babbling, fussing)
- Audio classification research - clean, labeled training data on a focused class
Dataset Statistics
| Metric | Value |
|---|---|
| Total duration | 50+ hours |
| File formats | WAV (majority) + M4A |
| File duration range | 10–100 sec |
| Sample rates | 48 kHz / 44.1 kHz / 16 kHz |
| Recording locations | indoor + outdoor |
| Noise conditions | quiet / moderate / noisy |
| Capture devices | smartphone (majority), laptop, tablet, external mic |
| Verification | manual review of every file |
How This Compares to Academic Infant Cry Datasets
| Dataset | Duration | License | Best for |
|---|---|---|---|
| Axon Labs Infant Cry Detection | 50+ hours | Commercial | Production cry detection & SED |
| CryCeleb (Ubenwa) | 6.5 hours | CC-BY-NC-ND (research only) | Speaker verification across infant identities |
| Donate a Cry Corpus | <1 hour | Open, crowdsourced | Cry cause classification (small-scale research) |
CryCeleb and Donate a Cry remain the leading academic resources for their respective research tasks. Our dataset complements them by providing the scale and licensing required for production-grade detection models in commercial baby monitor, sleep tracking, and smart home applications
Full version of dataset is available for commercial usage — leave a request on our website Axonlabs to purchase the dataset 💰
What Makes This Dataset Unique
- Largest infant cry audio corpus - multiple times the size of leading academic alternatives
- Manually verified, not scraped - every file reviewed; suspicious files removed
- Authenticity-filtered - directly addresses a documented problem in open datasets (noisy, internet-sourced contamination)
- Real smartphone recordings - matches deployment conditions for baby monitor apps and smart home devices
Contact us to choose the version that fits your project.
FAQ
Q: Can I use this dataset to train a production baby monitor or sleep tracking app? Yes - the full commercial version is licensed exactly for this. The sample version on HuggingFace is for evaluation, EDA, and proof-of-concept work. For production training, request access to the full version
Q: What metadata is provided? Recording location (indoor/outdoor), background noise level (quiet/moderate/noisy), recording device type (smartphone/laptop/tablet/external microphone). All files in the curated set have been confirmed as clear, original infant cry recordings
Q: Are there labels for cry cause (hunger, pain, discomfort)? Not in this release. The dataset is designed for cry detection (is a cry present) and sound event detection use cases. If you need labeled cry-cause data, we can collect a custom dataset on request through our data collection service
Q: Is the data ethically collected? Yes. All recordings were captured with explicit parental consent and documented chain of custody
keywords: infant cry dataset, baby cry dataset, infant cry detection, infant cry classification, baby cry detection, sound event detection, audio classification dataset, baby monitor dataset, smart home audio, real-world infant audio, parental tech dataset
Visit us at Axonlabs to request a full version of the dataset for commercial usage
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