Generalized variogram is used to extract vocal dysperiocities in disordered speech produced by dysphonic speakers. Both signal and dysperiodicity are passed through a filter bank and a segmental signal-to-dysperiodicity ratio is defined in each frequency band. Multivariate analysis is carried out to summarize the degree of perceived hoarseness. The predictor variables are the segmental signal-t...

We present a computer system for the automatic evaluation of speech disorders. The system can be accessed via internet or public telephone. A text or pictures to be named are presented on the computer screen. Speech data is then analyzed by automatic speech recognition technique. The measurements do not require experts’ knowledge but yield results on experts’ level. This is shown for the global...

PURPOSE To develop a system for numerically quantifying a speaker's phonetic accuracy through transcription-based measures. With a focus on normal and disordered speech in children, the authors describe a system for differentially weighting speech sound errors on the basis of various levels of phonetic accuracy using a Weighted Speech Sound Accuracy (WSSA) score. The authors then evaluate the r...

Four children demonstrating speech and language impairments were examined with respect to their ability to learn to identify certain auditory temporal perceptual information. These children listened to six-element temporal patterns and made judgments about the temporal proximity of two of the elements. Subjects listened to the patterns over a number of exposures ranging from 6 to 14, depending ...

Dysarthria is a motor speech disorder due to neurologic deficits. The impaired movement of muscles for speech production leads to disordered speech where utterances have prolonged pause intervals, slow speaking rates, poor articulation of phonemes, syllable deletions, etc. These present challenges towards the use of speech technologies for automatic processing of dysarthric speech data. In orde...

Parkinson’s disease (PD), a degenerative disease of the central nervous system, is noted for voice and speech deficits, classified as hypokinetic dysarthria. Dysarthric speech is characterized by vowels that are centralized due, in part, to the limited range of movement of the speech articulators. PD results in disruption of internal cues or trigger of movement. 89% patients with Parkinson’s ha...

Synthetic speech has recently been used to study resonance and voice disorders. The advantage of synthetic speech is that it becomes possible to control and artificially manipulate acoustic variables related to a specific perceptual feature without confounding effects from other co-occurring problems often found in disordered speech. To date, synthesis has been restricted to vowels in isolation...

There is increasing emphasis on use of connected speech for acoustic analysis of voice disorder, but the differential impact of disorder on initiation, maintenance and termination of phonation has received little attention. This study introduces a new measure of dynamic changes at onset of phonation during connected speech, phonation stabilisation time (PST), and compares this measure with conv...

Automatic disorders recognition in speech can be very helpful for therapist while monitoring therapy progress of patients with disordered speech. This article is focused on sound repetitions. The signal is analyzed using Continuous Wavelet Transform with 16 bark scales, the result is divided into vectors and passed into Kohonen network. Finally, the Kohonen winning neuron result is put on the 3...