Spontaneous speech production by dysarthric and healthy speakers. Study 50 dysarthria assessment flashcards from lauren p. Results show the relevance of rhythm metrics and the effectiveness of the proposed framework to improve the performance of dysarthric speech recognition. Speech intelligibility, acceptability, and communication. Analysis of dysarthric speech using distinctive feature recognition ka ho wong 1, yu ting yeung 2, patrick c. Computermediated assessment of intelligibility in aphasia. Data is recorded through an 8microphone array and one digital video camera. Assids stands for assessment of intelligibility of dysarthric speech.
This wide breadth of symptoms, as well as datasets that are an order of magnitude smaller than standard speech corpuses, make recognizing and understanding dysarthric speech a challenging problem. Analysis of dysarthric speech using distinctive feature. Dysarthria, assessment tools, speechlanguagepathologist, measurement, procedure, acquired progressive neurological disorders. The key issues are the capability of the asr to adapt to the nonstandard characteristics of the dysarthric speech 11, and the degree to which the recognition can tolerate an increased variability of certain.
Dysarthria is a term used for a group of speech disorders caused by weakness, paralysis, rigidity, spasticity, sensory loss, or incoordination of muscle groups responsible for speech. Aids assessment of intelligibility of dysarthric speech. Furthermore, we demonstrate that dysarthric speech is more precisely por trayed as a noisychannel distortion of an abstract representation of articulatory goals. Eight dysarthric speakers who represented a wide range of severity were recorded producing single words and sentences. The implication for speech production is that although some acoustic degradation present in dysarthric speech may be relatively consistent, other breakdowns occur in nonsystematic and unpredictable ways borrie et al. Assids assessment of intelligibility of dysarthric speech. The nemours database of american dysarthric speakers is used throughout experiments. Dysarthria assessment speech pathology and audiology 2760 with mupanomunda at st. However, since dysarthric speech is often only 10 to 17 times slower than that of typical speakers patel, 1998, speech is a viable input modality for computerassisted interaction. The most common test for dysarthria is called the frenchay. The assessment of intelligibility of dysarthric speech is a tool for quantifying singleword intelligibility, sentence intelligibility, and speaking rate of adult and adolescent speakers with dysarthria. Indices of interjudge reliability and inter and intrajudge agreement were calculated from the ratings made by 15 experienced speech clinicians on five deviant speech dimensions with respect to 15. This study investigated whether adaptation to a talker with dysarthria could be predicted by the nature of the listeners prior familiarization experience, specifically similarity of perceptual features, and level of intelligibility.
Implications for assessment and treatment planning, abstract this paper describes the concept of comprehensibility and how it is an important construct in the assessment and treatment of dysarthric speech. High muscle tone, poor coordination of motor movements, and dyscoordination of respiration and sound production result in slow muscular adjustments and limited range of motion. Dysarthric speech database for universal access research. The relationship between perceptual disturbances in. Using speech rhythm knowledge to improve dysarthric speech. Reliability and agreement of ratings of ataxic dysarthric. Listener strategies in the perception of dysarthric speech a thesis submitted in partial fulfilment of the requirements for the degree of master of speech language therapy, department of communication disorders, university of canterbury by sharon broadmore april 2011. The effect of rate control on the intelligibility and. Dysarthria is a speech disorder associated with neuromotor disorders or dysfunction. Improving dysarthric speech intelligibility using cycle. Dysarthric speech database for development of qolt software. Assessment of intelligibility of dysarthric speech aids.
This paper describes a database of dysarthric speech produced by 19 speakers with cerebral palsy. Learn more about the different types of dysarthria and how theyre treated. A comparison of computerized speech recognition and listener intelligibility. Moderate dysarthria production of phrases and short sentences is usually intelligible. Listener strategies in the perception of dysarthric speech. The single word test from the speech intelligibility test yorkston, et al. Dysarthria apraxia screening oral mechanism exam intelligibility observation.
Study 1 examines listener perception of intelligibility of dysarthric speech. Aids abbreviation stands for assessment of intelligibility of dysarthric speech. Dysarthria often is characterized by slurred or slow speech that can be difficult to understand. Eight techniques for quantifying intelligibility of dysarthric speech were compared. Speech impairments following laryngectomy, including lower speech intelligibility and poorer lexical tone production, can have an impact on the alaryngeal speakers communication abilities. Begin at your conversational level of speech, say a and sing up a scale, then sing down the scale. Acoustic analysis of dysarthric speech tina magnuson and mats blomberg abstract this report describes an acoustic analysis of the speech of persons with dysarthria. Spontaneous speech production by dysarthric and healthy. Dysarthria pdf for an example of assessment data consistent with icf.
Your childs speechlanguage pathologist slp will assess his symptoms and develop a treatment plan. Dysarthria american speechlanguagehearing association. Mark hasegawajohnson, jonathan gunderson, adrienne perlman, thomas huang, and kenneth watkin. For example, children with cerebral palsy may have dysarthria. Then, a speakerdependent dysarthric speech recognition is performed by using hidden markov models hmms. Duffy, 2005 dysarthria a speech disorder with neurological bases. Dysarthria is a motor speech disorder resulting from neurological injury of the motor component of the motorspeech system and is characterized by poor articulation of phonemes. Meng 1,2 1 humancomputer communications laboratory, department of systems engineering and engineering management. An automatic dysarthric speech recognition approach using deep neural networks jun ren institute of natural and mathematical sciences massey university auckland, new zealand mingzhe liu state key laboratory of geohazard prevention and geoenvironment. The muscles used for speech tongue, lips, soft palate, jaw, muscles of breath support become disordered.
Duffy lee ann golper david beukelman robert miller edythe strand. Uaspeech database from the statistical speech technology. Stateoftheart automatic speech recognition asr engines perform well on healthy speech. This paper describes the concept of comprehensibility and how it is an important construct in the assessment and treatment of dysarthric speech. This paper aims to develop a better understanding of how perceptual disturbances in dysarthric speech relate to asr. Improving the speech communication 2007 intelligibility of.
Assessment of intelligibility of dysarthric speech by julie. The current thesis investigated perceptual learning of dysarthric speech, by jointly considering intelligibility improvements and associated learning mechanisms for listeners familiarised with the neurologically degraded signal. Motor speech disorders apraxia of speech not a dysarthria or an aphasia affects programming and planning of speech can be present without any other communication disturbances. Speech materials consist of 765 isolated words per speaker. No significant differences between lists or order of presentation were obtained. Dysarthria is a motor speech disorder resulting from neurological injury of the motor component of the motor speech system and is characterized by poor articulation of phonemes. How is assessment of intelligibility of dysarthric speech abbreviated. Significant differences for dysarthrics and the dysarthric by list, and dysarthric by order interactions were obtained. Standard protocols containing speaker tasks, recording techniques, and listener.
Intelligibility functions were obtained for six dysarthric speakers who varied in severity and six age and gendermatched controls. Speakers produced 70item word lists over 5 sessions. The efficiency ratio is defined as the rate of intelligible speech produced by a dysarthric speaker divided by the normal rate of intelligible speech. Dysarthria definition of dysarthria by medical dictionary. Duffy, 2005 dysarthria a speech disorder with neurological bases characterized by paralysis, weakness or incoordination of the speech musculature.
Audiovisual database of dysarthric speech for research promoting universal access to information technology. The goals of your childs speech therapy for dysarthria might include strengthening the oral motor muscles, improving muscle movement. What is the abbreviation for assessment of intelligibility of dysarthric speech. Objective estimation of dysarthric speech intelligibility. This corpus is built in the context of the typaloc project anr12bshs20003 whose objective is to compare phonetic variation in the speech of dysarthric vs. Specifically, comprehensibility is defined within the world health organization model of chronic disease as a factor in disability affecting speech performance in physical andor social contexts. The key issues are the capability of the asr to adapt to the nonstandard characteristics of the dysarthric speech 11, and the degree to which the recognition can.
Assids is defined as assessment of intelligibility of dysarthric speech rarely. Purpose generalization of perceptual learning has received limited attention in listener adaptation studies with dysarthric speech. Slowing the rate of dysarthric speakers did not have as marked an impact on speech naturalness as it did for normal speakers whose naturalness decreased at slowed rates. Improving the intelligibility of dysarthric speech cubic. Dysarthric speech intelligibility, cycleconsistent adversarial training, gan for speech modification. Clinical approaches to improving comprehensibility, including issues of candidacy, intervention planning, and treatment approaches, are discussed. Dysarthria is a type of speech disorder that can affect breathing, and your ability to form sounds, produce voice, as well as the rhythm and nasality of your speech and voice. Assessment of intelligibility of dysarthric speech.
A collection of various dysarthric speech recordings in. Metered rate control strategies were associated with the lowest ratings of naturalness for all subject groups. Before recording, a speech therapist performed fda frenchay dysarthria. Improving dysarthric speech intelligibility using cycleconsistent. Intelligibility and comprehensibility are differentiated in terms of their definition, measurement, and approaches to treatment. Dysarthria is difficulty speaking caused by brain damage or brain changes later in life. Typical components of the dysarthria assessment the assessment process includes consideration of the individuals hearing and vision status.
Most of the research in the field of dysarthric speech recognition has been focused on creating a robust system to recognize dysarthric speech. Reliability of auditoryperceptual ratings of dysarthric. Implications for speech recognition systems are discussed. Assessment of intelligibility of dysarthric speech proed on. The extent to which speech intelligibility in different speech methods has an impact on quality of life qol is largely unknown.
Towards a noisychannel model of dysarthria in speech. Standard automatic speech recognition systems work poorly for talkers with dysarthria. Auditoryperceptual ratings of dysarthric speech samples jenelle fawcett m. Dysarthria assessment mfda scale to quantify the dysarthria level of pd patients. Various research has proven that vowel articulation is a key factor in dysarthric speech intelligibility. Always remember when youre doing a standard op exam. Algorithmic estimation of pauses in extended speech samples of dysarthric and typical speech jordan r. Speech recognition technology for dysarthric speech. Towards an automatic evaluation of the dysarthria level of patients. An automatic dysarthric speech recognition approach using. Generalized adaptation to dysarthric speech journal of. The uaspeech database is intended to promote the development of user interface for talkers with gross neuromotor disorders and spastic dysarthria.
To date, no study has addressed the role of indexical information in perceptual learning of dysarthric speech. The largest reliability problem is interjudge reliability, means how close will two or more clinicians judge the same client, are the results similar and how similar. Injury or disease to the speech musculature may also cause dysarthric like symptoms. Acoustic transformations to improve the intelligibility of. The rank of the dysarthrics remained relatively stable across the intelligibility measures. When the part of the brain that controls speech production is damaged, the link from the brain to the muscles of speech is.
Each speaker produced 74 nonsense sentences to obtain a total of 814 sentences. A comparison of techniques for measuring intelligibility of. Assessment of intelligibility of dysarthric speech buros. Presents problems in reliability, which is really important in tests and assessments. The purpose of this study was to identify and compare the recognition of dysarthric speech by a computerized voice recognition vr system and nonhearingimpaired adult listeners. Its primary goal or purpose is to measure intelligibility, as a function of severity. There are other drawbacks to the recognition driven synthesis approach as well.
In other words, it is a condition in which problems effectively occur with the muscles that help produce speech, often making it very difficult to pronounce words. This is because of the acoustic variability associated with the different dysarthria subtypes. Speech disorders in children require a customized treatment plan that suits their individual needs. Chronic phase goals restoration of function optimizing activity, participation, quality of life comprehensibility strategies home and work modifications conversation partner training. Proposed features include statistics based on the linear predictive lp model of speech, and the popular melfrequency lterbank. May 18, 2018 dysarthria is a condition in which the muscles you use for speech are weak or you have difficulty controlling them. Common causes of dysarthria include nervous system neurological disorders such as stroke, brain injury, brain tumors, and conditions that cause facial paralysis or tongue or throat muscle weakness. Common causes of dysarthria include nervous system neurological disorders such as stroke, brain injury, brain tumors, and. The role of linguistic and indexical information in. A comparison of techniques for measuring intelligibility of dysarthric speech.
People may have trouble understanding what you say. Functional speech is usually unintelligible but improves with repetition, decreased rate, exaggerated articulatory movements, other compensatory techniques. Intelligibility measures of dysarthric speech journal of. Dysarthria is a speech disorder caused by muscle weakness. Nih public access of dysarthric and typical speech j med.
Dysarthria assessment speech pathology and audiology. Dysarthric speech rehabilitation research veterans affairs. Hypokinetic dysarthria secondary to parkinsons disease a thesis submitted to the graduate faculty of the louisiana state university and agricultural and mechanical college in partial fulfillment of the requirements for the degree of master of arts in. Comprehensibility of dysarthric speech article pdf available in american journal of speechlanguage pathology 51. Meng 1,2 1 humancomputer communications laboratory. Experiments with a dysarthric speech database using p. To the best of our knowledge, this work is the first time to build a continuous speech recognition system for dysarthric speech with deep neural network technique, which is a.
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