Recognition of vocoded words and sentences in quiet and multi-talker babble with children and adults

PLoS One. 2020 Dec 29;15(12):e0244632. doi: 10.1371/journal.pone.0244632. eCollection 2020.

Abstract

A vocoder is used to simulate cochlear-implant sound processing in normal-hearing listeners. Typically, there is rapid improvement in vocoded speech recognition, but it is unclear if the improvement rate differs across age groups and speech materials. Children (8-10 years) and young adults (18-26 years) were trained and tested over 2 days (4 hours) on recognition of eight-channel noise-vocoded words and sentences, in quiet and in the presence of multi-talker babble at signal-to-noise ratios of 0, +5, and +10 dB. Children achieved poorer performance than adults in all conditions, for both word and sentence recognition. With training, vocoded speech recognition improvement rates were not significantly different between children and adults, suggesting that improvement in learning how to process speech cues degraded via vocoding is absent of developmental differences across these age groups and types of speech materials. Furthermore, this result confirms that the acutely measured age difference in vocoded speech recognition persists after extended training.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Acoustic Stimulation / methods*
  • Adolescent
  • Adult
  • Child
  • Female
  • Humans
  • Male
  • Perceptual Masking
  • Recognition, Psychology
  • Speech Discrimination Tests / methods*
  • Speech Perception
  • Young Adult