Accessibility settings

This paper is in the following e-collection/theme issue:

Reviews on Innovation in Rehabilitation and Assistive Technologies (140) Pediatrics (383) Machine Learning (3303) New Diagnostic Tools and Instruments for Pediatrics (73) Applications of AI (1057)

Published on in Vol 12 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69457, first published .
Mother holding her baby with a worried expression

Advances in Infant Cry Paralinguistic Classification—Methods, Implementation, and Applications: Systematic Review

Advances in Infant Cry Paralinguistic Classification—Methods, Implementation, and Applications: Systematic Review

Authors of this article:

Geofrey Owino1 Author Orcid Image ;   Bernard Shibwabo1 Author Orcid Image
Article Authors Cited by (8) Tweetations (1) Metrics

Journals

  1. Shayegh S, Tadj C. Balanced Neonatal Cry Classification: Integrating Preterm and Full-Term Data for RDS Screening. Information 2025;16(11):1008 View
  2. McCofie A, Goldgof D, Hausmann J, Mouton P, Sun Y, Hossain M. A Review of Deep Learning Model Approach for Pain Assessment in Infant Cry Sounds. Machine Learning and Knowledge Extraction 2026;8(3):76 View
  3. Vaishnavi V, Vijayarajan S, Appathurai A, Narayanaperumal M. CRY-NET: Penta classification of infant cry signal via deep learning based dual attention ResNeSt network. Biomedical Signal Processing and Control 2026;120:110086 View
  4. Herzallah L, Hantash M, Hasasneh A, Masri S, Tadj C. Neonatal Pathology Classification From Infant Cry Signals Using a Multi-Branch Graph Neural Network. IEEE Access 2026;14:122303 View
  5. Jomey E, Kumar R. A hierarchical transfer learning framework for subject-independent infant cry classification. BIO Web of Conferences 2026;252:04003 View
  6. Tawfik M. Sinc-Mamba-KAN: A Hybrid Learnable-Filter, Selective State-Space, and Kolmogorov–Arnold Network for Interpretable Infant Pre-Cry Classification. IEEE Access 2026;14:142091 View

Conference Proceedings

  1. Hernandez J, Florez H. 2026 1st International Conference on Human Centric Artificial Intelligence (ICHCAI). Human-Centered On-Device Infant Wake-Up Detection: Reducing Caregiver Burden Through Privacy-Aware Decision Support View
  2. Tatti S, Kulkarni A, Kumar S, Sriraam N. 2026 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT). Hybrid Feature Fusion and Pretrained Embeddings for Neonatal Asphyxia Diagnosis From Acoustic Cry Analysis View