Cerebellar disorders can have various causes and their identification requires the expertise from a practitioner. Recently, a new technique based on speech performance measurement and classification has presented itself as a promising diagnostic tool. Recording speech is not trivial and some caution has to be taken regarding noise, recording equipment, data acquisition hardware, and software. The speech stimuli used in the recording are also important because they are not all suited for all use. They are divided into two main categories: speech and nonspeech stimuli. The same applies for the acoustic measures that can relate to the temporal or frequency domain. There have been studies that try to classify dysarthria based on speech acoustic...
The class of speech disorders known as dysarthria arise from disturbances in muscular control over t...
Friedreich’s Ataxia (FRDA) is an autosomal recessive neurodegenerative disorder and the most common ...
This thesis is focused on diagnosing Parkinson’s disease from analysis of speech recording. Introduc...
International audienceSpeech production is probably the most complex neuromotor activity of the huma...
Developmental dysarthria is a motor speech disorder characterized by reduces intelligibility and imp...
This paper details the signal processing techniques used to produce novel speech metrics for the qua...
Background: Dysarthria refers to a group of disorders resulting from disturbances in muscular contro...
© 2019 IEEE. Cerebellar Ataxia (CA) is a neurological condition that leads to uncoordinated muscle m...
Classification and characterization of motor speech disorders (MSDs) is important from the viewpoint...
The aim of this thesis is to investigate computerized voice assessment methods to classify between t...
The speech disorder associated with Friedreich's ataxia (FRDA) is classically described as ataxic dy...
AbstractThis paper reports the results of acoustic investigation based on rhythmic classifications o...
Dysarthria refers to a group of speech disorders characterized by neuromuscular involvement. This ma...
International audienceWhile speech disorder represents an early and prominent clinical feature of at...
This work deals with a design of hypokinetic dysarthria analysis system. Hypokinetic dysarthria is a...
The class of speech disorders known as dysarthria arise from disturbances in muscular control over t...
Friedreich’s Ataxia (FRDA) is an autosomal recessive neurodegenerative disorder and the most common ...
This thesis is focused on diagnosing Parkinson’s disease from analysis of speech recording. Introduc...
International audienceSpeech production is probably the most complex neuromotor activity of the huma...
Developmental dysarthria is a motor speech disorder characterized by reduces intelligibility and imp...
This paper details the signal processing techniques used to produce novel speech metrics for the qua...
Background: Dysarthria refers to a group of disorders resulting from disturbances in muscular contro...
© 2019 IEEE. Cerebellar Ataxia (CA) is a neurological condition that leads to uncoordinated muscle m...
Classification and characterization of motor speech disorders (MSDs) is important from the viewpoint...
The aim of this thesis is to investigate computerized voice assessment methods to classify between t...
The speech disorder associated with Friedreich's ataxia (FRDA) is classically described as ataxic dy...
AbstractThis paper reports the results of acoustic investigation based on rhythmic classifications o...
Dysarthria refers to a group of speech disorders characterized by neuromuscular involvement. This ma...
International audienceWhile speech disorder represents an early and prominent clinical feature of at...
This work deals with a design of hypokinetic dysarthria analysis system. Hypokinetic dysarthria is a...
The class of speech disorders known as dysarthria arise from disturbances in muscular control over t...
Friedreich’s Ataxia (FRDA) is an autosomal recessive neurodegenerative disorder and the most common ...
This thesis is focused on diagnosing Parkinson’s disease from analysis of speech recording. Introduc...