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)
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)
Artificial larynges provide a means of verbal communication for people who have either lost or are otherwise unable to use their larynges. Although they enable adequate communication, the resulting speech has an unnatural quality and is significantly less intelligible than normal speech. One of the major problems with the widely used Transcutaneous(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)
Stevens landmark theory to find landmarks in vocalizations digitized as "wav" files. The landmarks are grouped to identify syllable-like productions in these vocalizations and the results are summarized. The Vocalization-Age tool is intended for pre-speech vocalizations. It uses the landmark and syllable information to yield a vocaliza-tion age that has(More)