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researcher

Sara Schneider

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.SD1
  • eess.AS1

identity via Semantic Scholar / OpenAlex

most citedInfantNet: A Deep Neural Network for Analyzing Infant Vocalizations

3 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

eess.AS2022★ 3 cited

Low-dimensional representation of infant and adult vocalization acoustics

Silvia Pagliarini, Sara Schneider, Christopher T. Kello +1

During the first years of life, infant vocalizations change considerably, as infants develop the vocalization skills that enable them to produce speech sounds. Characterizations ba…

cs.SD2020★ 3 cited

InfantNet: A Deep Neural Network for Analyzing Infant Vocalizations

Mohammad K. Ebrahimpour, Sara Schneider, David C. Noelle +1

Acoustic analyses of infant vocalizations are valuable for research on speech development as well as applications in sound classification. Previous studies have focused on measures…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.