Despite the rapid progress of automatic speech recognition (ASR) technologies in past few decades, disordered remains a highly challenging task to date. Disordered presents wide spectrum challenges current data intensive deep neural networks (DNNs) based ASR that predominantly target normal speech. This paper recent research efforts at Chinese University Hong Kong (CUHK) improve performance sys...

One of the main clinical applications of speech technology is in voice-enabled assistive technology for people with disordered speech. Progress in this area is hampered by a sparseness in suitable data and recent research have focused on ways of incorporating knowledge about typical (i.e., un-impaired) speech through the use of e.g., deep belief neural networks. This paper presents a new way of...

This paper introduces the acquisition, evaluation and baseline Automatic Speech Recognition (ASR) experiments of a novel corpus containing speech from a set of impaired and unimpaired young speakers. A group of 14 speakers with different speech disorders have uttered several sessions over a 57-word vocabulary in Spanish to gather more than 3 hours of speech. In addition to this work, a parallel...

This paper describes the “Alborada-I3A” corpus of disordered speech, acquired during the recent years for the research in different speech technologies for the handicapped like Automatic Speech Recognition (ASR) or pronunciation assessment. It contains more than 2 hours of speech from 14 young impaired speakers and nearly 9 hours from 232 unimpaired age-matched peers whose collaboration was pos...

UNLABELLED Phonological speech disorders are characterized by abnormal development towards the adult target pattern; its etiology is unknown. It is thought the this condition results from auditory processing disorders involving the abilities required for human beings to understand what is heard. AIM To investigate the relationship between auditory processing and the acquisition of disordered ...

This study examined associations between impairments of attention, memory, and conceptual sequencing ability, and specific schizophrenia thought and language symptoms. Speech samples of stable schizophrenia outpatients were assessed for frequencies of six different types of communication failures. The classification of types of failures was based on hypothesized differences in underlying cognit...

This paper introduces the acquisition, evaluation and baseline Automatic Speech Recognition (ASR) experiments of a novel corpus containing speech from a set of impaired and unimpaired young speakers. A group of 14 speakers with different speech disorders have uttered several sessions over a 57-word vocabulary in Spanish to gather more than 3 hours of speech. In addition to this work, a parallel...

The objective of the presentation is to report experiments involving the automatic classification of disordered connected speech into binary (normal, pathological) or multiple (modal, moderately hoarse, severely hoarse) categories. The multicategory classification according to the perceived degree of hoarseness is considered to be clinically meaningful and desirable given that the reliable perc...

Traditional measurements performed on the acoustic signals of normal speech are frequently used to quantify the acoustic characteristics of disordered speech as well. This letter demonstrates how important aspects of speech production deficits in motor speech disorders may be overlooked if stringent quantification procedures are employed, especially in the stage of exploratory data analysis. It...

background: this study aimed to highlight the proportion of disordered eating attitudes among university students in kuwait by gender and obesity. methods: a sample of 530 kuwaiti university students was selected from four universities in kuwait (203 men and 327 women). the eating attitudes test‑26 was used to determine disordered eating attitudes. results: the prevalence of disordered eating a...