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Updated: Jun 14, 2025

Infant Auditory Processing and Event-related Brain Oscillations
Published on: July 1, 2015
Infant cries convey both stable and dynamic information about age and identity
Marguerite Lockhart-Bouron1, Andrey Anikin2,3, Katarzyna Pisanski2,4
1Neonatal and Pediatric Intensive Care Unit, SAINBIOSE Iaboratory, Inserm, University Hospital of Saint-Etienne, University of Saint-Etienne, Saint-Etienne, France.
Insights
Human baby cries reliably signal age and identity, but not the specific cause of distress. Acoustic analysis reveals vocal changes with age, yet listeners and AI struggle to decode cry reasons.
Area of Science:
- Developmental Psychology
- Acoustic Phonetics
- Infant Communication
Background:
- Infant cries are a primary communication method, often linked to distress.
- The ability of cries to convey specific information beyond distress is debated.
- Understanding cry content is crucial for infant care and developmental research.
Purpose of the Study:
- To investigate what specific information, if any, is encoded in human infant cries.
- To determine if cries reliably signal the cause of crying (discomfort, hunger, isolation).
- To analyze acoustic features of cries related to infant age and identity.
Main Methods:
- Collected 39,201 infant cries from 24 babies aged 15 days to 3.5 months.
- Classified cry causes based on parental action and evaluation (discomfort, hunger, isolation).
- Utilized acoustic analysis and machine learning algorithms to analyze cry features.
Main Results:
- Baby cries reliably encode information about the infant's age and identity.
- Acoustic analysis showed cries become more tonal and less shrill with age.
- Neither machine learning nor trained listeners could reliably identify the cause of crying.
Conclusions:
- Infant cries are a reliable indicator of age and identity, reflecting developmental changes.
- The specific cause of an infant's cry (hunger, discomfort, isolation) is not reliably encoded acoustically for external recognition.
- Further research may explore nuanced acoustic features or contextual factors in cry communication.
Abstract:
What information is encoded in the cries of human babies? While it is widely recognized that cries can encode distress levels, whether cries reliably encode the cause of crying remains disputed. Here, we collected 39201 cries from 24 babies recorded in their homes longitudinally, from 15 days to 3.5 months of age, a database we share publicly for reuse. Based on the parental action that stopped the crying, which matched the parental evaluation of cry cause in 75% of cases, each cry was classified as caused by discomfort, hunger, or isolation. Our analyses show that baby cries provide reliable information about age and identity. Baby voices become more tonal and less shrill with age, while individual acoustic signatures drift throughout the first months of life. In contrast, neither machine learning algorithms nor trained adult listeners can reliably recognize the causes of crying.
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