Joel MacAuslan

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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)
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)
According to the U.S. National Institutes of Health, approximately 500,000 Americans have Parkinson's disease (PD), with roughly another 50,000 receiving new diagnoses each year. 70%-90% of these people also have the hypokinetic dysarthria associated with PD. Deep brain stimulation (DBS) substantially relieves motor symptoms in advanced-stage patients for(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)
Understanding the difference between emotions based on acoustic features is important for computer recognition and classification of emotions. We conducted a study of human perception of six emotions based on three perceptual dimensions and compared the human classification with machine classification based on many acoustic parameters. Results show that the(More)
In electrolaryngeal speech, an excitation signal is provided by means of a buzzer held against the neck which is usually operated at a constant frequency rate. While such Transcutaneous Artificial Larynges (TALs) provide a means for verbal communication for people who are unable to use their own, the monotone F0 pattern results in poor speech quality. In(More)
The use of speech production data has been limited by a steep learning curve and the need for laborious hand measurement. We are building a tool set that provides summary statistics for measures designed by clinicians to screen, diagnose or provide training to assis-tive technology users. This will be achieved by extending an existing shareware software(More)