Linda J. Ferrier

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1. ABSTRACT We have developed a program, the Early Vocalization Analyzer (EVA), that automatically analyzes digitized recordings of infant vocalizations. The purpose of such a system is to automatically and reliably screen infants who may be at risk for later communication problems. Applying the landmark detection theory of Stevens et al., for the(More)
Children with motor problems often develop to be passive, presumably because of an inability to communicate and to control the environment. The Baby-Babble-Blanket (BBB), a pad with pressure switches linked to a Macintosh computer, was developed to meet this need. Lying on the pad, infants use head-rolling, leg-lifting and kicking to produce digitized(More)
The visiBabble system processes infant vocalizations in real-time. It responds to the infant's syllable-like productions with brightly colored animations and records the acoustic-phonetic analysis. The system reinforces the production of syllabic utterances that are associated with later language and cognitive development. We report here on the development(More)
Previous research indicates that infant vocalizations are effective predictors of later articulation and language abilities Intervention to encourage babbling activity in at-risk infants is frequently undertaken. Research and clinical diagnosis of delayed or reduced babbling have so far relied on time-consuming and unreliable perceptual analyses of recorded(More)
The Early Vocalization Analyzer (EVA) is a computer program that automatically analyses digitized acoustic recordings of infant vocalizations. Using the landmark detection theory of Stevens et al for the recognition of phonetic features in speech, EVA detects syllables in vocalizations produced by infants. Landmarks are grouped into standard syllable(More)
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