| --- |
| license: cc-by-4.0 |
| task_categories: |
| - audio-classification |
| language: |
| - en |
| tags: |
| - infant-cry-detection |
| - infant-cry-classification |
| - baby-cry-detection |
| - baby-cry-classification |
| - infant-cry |
| - baby-cry |
| - cry-detection |
| - sound-event-detection |
| - audio-classification |
| - baby-monitor |
| - smart-home |
| - smart-baby-monitor |
| - parental-tech |
| - sleep-tracking |
| - acoustic-event-detection |
| - environmental-sound |
| - real-world-audio |
| - field-recordings |
| - WAV |
| - audio-dataset |
| size_categories: |
| - 1K<n<10K |
| pretty_name: Infant Cry Detection Audio Dataset |
| modality: |
| - audio |
| --- |
| # 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 |
|
|
| ## Contact us and share your feedback — receive additional samples for free! 😊 |
|
|
| ## 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](https://axonlab.ai/?utm_source=hugging-face&utm_medium=cpc&utm_campaign=profile&utm_content=profile_link) 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](https://axonlab.ai/?utm_source=hugging-face&utm_medium=cpc&utm_campaign=profile&utm_content=profile_link) 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](https://axonlab.ai/?utm_source=hugging-face&utm_medium=cpc&utm_campaign=profile&utm_content=profile_link) |
|
|
| **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 |
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| **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 |
|
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| Visit us at [**Axonlabs**](https://axonlab.ai/?utm_source=hugging-face&utm_medium=cpc&utm_campaign=profile&utm_content=profile_link) to request a full version of the dataset for commercial usage |
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