Disordered Speech Assessment Using Automatic Methods Based on Quantitative Measures
نویسندگان
چکیده
منابع مشابه
Disordered Speech Assessment Using Automatic Methods Based on Quantitative Measures
Speech quality assessment methods are necessary for evaluating and documenting treatment outcomes of patients suffering from degraded speech due to Parkinson’s disease, stroke, or other disease processes. Subjective methods of speech quality assessment are more accurate and more robust than objective methods but are time-consuming and costly. We propose a novel objective measure of speech quali...
متن کاملDiagnostic Assessment of Childhood Apraxia of Speech Using Automatic Speech Recognition (ASR) Methods.
We report findings from two feasibility studies using automatic speech recognition (ASR) methods in childhood speech sound disorders. The studies evaluated and implemented the automation of two recently proposed diagnostic markers for suspected Apraxia of Speech (AOS) termed the Lexical Stress Ratio (LSR) and the Coefficient of Variation Ratio (CVR). The LSR is a weighted composite of amplitude...
متن کاملAutomatic perceptual categorization of disordered connected speech
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...
متن کاملQuantitative techniques for financial risk assessment: a comparative approach using different risk measures and estimation methods
The aim of this paper is to highlight and illustrate the use of some quantitative techniques for risk estimation in finance and insurance. The first component involved in risk assessment concerns the risk measure used and the second one is based on the estimation technique. We will study the theoretical properties, the accuracy of modeling the economic phenomena and the computational performanc...
متن کاملImproved speech recognition using iterative decoding based on confidence measures
In this paper, a decoding method incorporating word-level conndence measures for improved speech recognition is presented. At rst, we focus on the estimation of conndence measures from the word graph and evaluate them in word graph rescoring (2nd-pass in 2-pass search system). Next, we propose the lexical tree search (1st-pass in 2-pass search system) incorporating the word-level conndence meas...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: EURASIP Journal on Advances in Signal Processing
سال: 2005
ISSN: 1687-6180
DOI: 10.1155/asp.2005.1400