Infants’ attraction to infant vocalizations – A catalyst for infant development
Bibliographic record
Abstract
Infant vocalizations play a key role in infant behavior and development, yet we know very little about how infants perceive speech signals with infant vocal properties. In this perspective paper, we summarize recent developmental studies capitalizing on technical breakthroughs in speech synthesis that have allowed for rigorous exploration of this topic. The findings indicate that infants prefer to listen to speech signals with vocal resonances that specify a small, infant-sized vocal tract; this preference is robust and distinct in some ways from infants’ attraction to infant-directed speech. This infant talker bias may support infants’ speech recognition skills and there is growing evidence that it is also tied to infants’ own emerging vocal production abilities. These findings further validate prominent views of speech development, including the articulatory filter and the analysis-by-synthesis hypotheses. Related work in our lab shows that adults also display a strong attraction to infant vowel sounds, adding weight to calls for an expanded and multimodal infant schema. Converging evidence that both infants and adults find infant vocalizations appealing also provides critical support for the fitness-signaling perspective on infant endogenous vocalization. We argue that the infant talker bias has a positive impact on multiple levels, shaping receptive, expressive, and motivational aspects of infant development. The infant talker bias also plays a central role in caregiving behaviors and infant-directed speech. The perceptual potency of infant speech is a catalyst for infant development and also for meaningful and innovative research. • Infants show a robust attraction to speech signals with infant vocal properties. • This infant talker bias is distinct in some ways from their preference for infant-directed speech. • The bias is linked with speech and the onset of babbling. • Infants may perceive speech with close reference to their own emerging vocal schema. • Adults also display a perceptual bias favoring infant speech.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".