README.md

---
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

**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**](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