Linda J. Ferrier

Learn More
Recognition of the speech of severely dysarthric individuals requires a technique which is robust to extraordinary conditions of high variability and very little training data. A hidden Markov model approach to isolated word recognition is used in an attempt to automatically model the enormous variability of the speech, while signal preprocessing measures(More)
The conversational skills of 18 individuals with fragile-X syndrome (FXS) were compared with those of two other matched groups with autism and Down syndrome. The FXS group used more eliciting forms in conversation than those with Down syndrome, and also used partial self-repetition more often than the other two groups. The Down syndrome group had more(More)
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)