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American Journal of Speech-language... Jul 2023This study investigated perceived speech naturalness estimated by adult listeners in typically developing children and children with dysarthria. We aimed to identify...
PURPOSE
This study investigated perceived speech naturalness estimated by adult listeners in typically developing children and children with dysarthria. We aimed to identify predictors of naturalness among auditory-perceptual parameters and to evaluate the concept of naturalness as a clinical marker of childhood dysarthria.
METHOD
In a listening experiment, naive adult listeners rated speech naturalness of 144 typically developing children (3-9 years old) and 28 children with neurological conditions (5-9 years old) on a visual analog scale. Speech samples were recorded using the materials of the Bogenhausen Dysarthria Scales-Childhood Dysarthria, which also provides for auditory-perceptual judgments covering all speech subsystems.
RESULTS
Children with dysarthria obtained significantly lower naturalness ratings compared to typically developing children. However, there was a substantial age effect observable in the typically developing children; that is, younger typically developing children were also perceived as somewhat unnatural. The ratings of the typically developing children were influenced by the occurrence of developmental speech features; for the children with neurological conditions, specific symptoms of dysarthria had an additional effect. In both groups, the perception of naturalness was predominantly determined by the children's articulation and intelligibility.
CONCLUSIONS
Both symptoms of childhood dysarthria and developmental speech features (e.g., regarding articulation and intelligibility) were associated to some extent with unnatural speech by the listeners. Thus, perceived speech naturalness appears less suitable as a marker of dysarthria in children than in adults.
Topics: Adult; Humans; Child, Preschool; Child; Speech; Dysarthria; Speech Production Measurement; Auditory Perception; Judgment; Speech Intelligibility
PubMed: 37343549
DOI: 10.1044/2023_AJSLP-23-00023 -
PloS One 2022Dysarthria may present during the natural course of many degenerative neurological conditions. Hypokinetic and ataxic dysarthria are common in movement disorders and...
Dysarthria may present during the natural course of many degenerative neurological conditions. Hypokinetic and ataxic dysarthria are common in movement disorders and represent the underlying neuropathology. We developed an artificial intelligence (AI) model to distinguish ataxic dysarthria and hypokinetic dysarthria from normal speech and differentiate ataxic and hypokinetic speech in parkinsonian diseases and cerebellar ataxia. We screened 804 perceptual speech analyses performed in the Samsung Medical Center Neurology Department between January 2017 and December 2020. The data of patients diagnosed with parkinsonian disorders or cerebellar ataxia were included. Two speech tasks (numbering from 1 to 50 and reading nine sentences) were analyzed. We adopted convolutional neural networks and developed a patch-wise wave splitting and integrating AI system for audio classification (PWSI-AI-AC) to differentiate between ataxic and hypokinetic speech. Of the 395 speech recordings for the reading task, 76, 112, and 207 were from normal, ataxic dysarthria, and hypokinetic dysarthria subjects, respectively. Of the 409 recordings of the numbering task, 82, 111, and 216 were from normal, ataxic dysarthria, and hypokinetic dysarthria subjects, respectively. The reading and numbering task recordings were classified with 5-fold cross-validation using PWSI-AI-AC as follows: hypokinetic dysarthria vs. others (area under the curve: 0.92 ± 0.01 and 0.92 ± 0.02), ataxia vs. others (0.93 ± 0.04 and 0.89 ± 0.02), hypokinetic dysarthria vs. ataxia (0.96 ± 0.02 and 0.95 ± 0.01), hypokinetic dysarthria vs. none (0.86 ± 0.03 and 0.87 ± 0.05), and ataxia vs. none (0.87 ± 0.07 and 0.87 ± 0.09), respectively. PWSI-AI-AC showed reliable performance in differentiating ataxic and hypokinetic dysarthria and effectively augmented data to classify the types even with limited training samples. The proposed fully automatic AI system outperforms neurology residents. Our model can provide effective guidelines for screening related diseases and differential diagnosis of neurodegenerative diseases.
Topics: Artificial Intelligence; Ataxia; Cerebellar Ataxia; Dysarthria; Humans; Hypokinesia; Neural Networks, Computer; Parkinsonian Disorders
PubMed: 35658000
DOI: 10.1371/journal.pone.0268337 -
American Journal of Speech-language... Aug 2018Dysarthria is a consequence of multiple sclerosis (MS) that can co-occur with cognitive impairment. Clinical management thus requires understanding the separate and... (Comparative Study)
Comparative Study
PURPOSE
Dysarthria is a consequence of multiple sclerosis (MS) that can co-occur with cognitive impairment. Clinical management thus requires understanding the separate and combined effects of dysarthria and cognitive impairment on functional communication in MS. This study compared perceptual measures of intelligibility and speech severity that capture functional communication deficits for 4 operationally defined groups with MS. The relationship between communication participation and perceptual measures was also examined.
METHOD
Forty-eight adults with MS and 12 healthy controls participated. Cognitive testing and dysarthria diagnosis determined group assignment: (a) MS with cognitive impairment (MSCI), (b) MS with a diagnosis of dysarthria and no cognitive impairment (MSDYS), (c) MS with dysarthria and cognitive impairment (MSDYS + CI), and (d) MS without dysarthria or cognitive impairment (MS). Sentence Intelligibility Test scores, scaled speech severity obtained from the "Grandfather Passage," and Communication Participation Item Bank (CPIB) scores were analyzed.
RESULTS
Sentence Intelligibility Test scores approached 100% for all groups. Speech severity was greater for the MSDYS + CI and MSDYS groups versus controls. CPIB scores were greatest for the MSDYS + CI group and were not significantly correlated with either perceptual measure.
CONCLUSIONS
The CPIB and speech severity were sensitive to aspects of communication problems for some groups with MS not reflected in a measure of sentence intelligibility. Findings suggest the importance of employing a variety of measures to capture functional communication problems experienced by persons with MS.
Topics: Adult; Aged; Cognition; Cognition Disorders; Communication; Disability Evaluation; Dysarthria; Executive Function; Female; Humans; Male; Memory; Middle Aged; Motor Activity; Multiple Sclerosis; Neuropsychological Tests; Risk Factors; Severity of Illness Index; Speech Acoustics; Speech Intelligibility; Speech Production Measurement; Verbal Behavior; Voice Quality
PubMed: 30054632
DOI: 10.1044/2018_AJSLP-17-0174 -
Journal of Neuromuscular Diseases 2020Dysphagia and dysarthria are frequently described in pediatric neuromuscular diseases (pNMD). The consequences can be substantial: failure to thrive, malnutrition,...
BACKGROUND
Dysphagia and dysarthria are frequently described in pediatric neuromuscular diseases (pNMD). The consequences can be substantial: failure to thrive, malnutrition, aspiration pneumonia, or communication problems. Early detection and identification of risk factors and etiology support preventing complications and morbidity, including impact on quality of life. Information about the prevalence of dysphagia and dysarthria in pNMD is scarce.
OBJECTIVE
To describe the pooled prevalence of dysphagia and dysarthria in pNMD in the Netherlands. In addition, we describe the prevalence of dysphagia and dysarthria each, and the prevalence of chewing (oral) and swallowing problems per diagnostic group, based on their anatomic origin.
METHODS
Data were collected from 295 children (mean age 11;0 years, range 2;6-18;0) with pNMD in 12 hospitals and rehabilitation centers in the Netherlands. A speech language therapist established whether dysphagia and dysarthria were present or not.
RESULTS
In almost all the 14 diagnostic groups of pNMD, dysphagia and dysarthria were present. Pooled overall prevalence of dysphagia and dysarthria was 47.2% and 31.5%, respectively. Of 114 children with dysphagia, 90.0% had chewing problems, 43.0% showed swallowing problems and 33.3% showed both chewing and swallowing problems.
CONCLUSIONS
The overall pooled prevalence of dysphagia and dysarthria was high in the population of pNMD. It can be argued that periodic monitoring of dysphagia and dysarthria and early referral to a speech language therapist should be a necessity from the start of the diagnosis in the whole pNMD population.
Topics: Adolescent; Child; Child, Preschool; Cross-Sectional Studies; Deglutition Disorders; Dysarthria; Female; Humans; Male; Netherlands; Neuromuscular Diseases; Prevalence
PubMed: 32176651
DOI: 10.3233/JND-190436 -
IEEE Transactions on Neural Systems and... 2023Dysarthria, a speech disorder often caused by neurological damage, compromises the control of vocal muscles in patients, making their speech unclear and communication...
Dysarthria, a speech disorder often caused by neurological damage, compromises the control of vocal muscles in patients, making their speech unclear and communication troublesome. Recently, voice-driven methods have been proposed to improve the speech intelligibility of patients with dysarthria. However, most methods require a significant representation of both the patient's and target speaker's corpus, which is problematic. This study aims to propose a data augmentation-based voice conversion (VC) system to reduce the recording burden on the speaker. We propose dysarthria voice conversion 3.1 (DVC 3.1) based on a data augmentation approach, including text-to-speech and StarGAN-VC architecture, to synthesize a large target and patient-like corpus to lower the burden of recording. An objective evaluation metric of the Google automatic speech recognition (Google ASR) system and a listening test were used to demonstrate the speech intelligibility benefits of DVC 3.1 under free-talk conditions. The DVC system without data augmentation (DVC 3.0) was used for comparison. Subjective and objective evaluation based on the experimental results indicated that the proposed DVC 3.1 system enhanced the Google ASR of two dysarthria patients by approximately [62.4%, 43.3%] and [55.9%, 57.3%] compared to unprocessed dysarthria speech and the DVC 3.0 system, respectively. Further, the proposed DVC 3.1 increased the speech intelligibility of two dysarthria patients by approximately [54.2%, 22.3%] and [63.4%, 70.1%] compared to unprocessed dysarthria speech and the DVC 3.0 system, respectively. The proposed DVC 3.1 system offers significant potential to improve the speech intelligibility performance of patients with dysarthria and enhance verbal communication quality.
Topics: Humans; Dysarthria; Voice; Speech Intelligibility; Laryngeal Muscles
PubMed: 37938964
DOI: 10.1109/TNSRE.2023.3331524 -
Folia Phoniatrica Et Logopaedica :... 2021The use of commercially available automatic speech recognition (ASR) software is challenged when dysarthria accompanies a physical disability. To overcome this issue, a...
INTRODUCTION
The use of commercially available automatic speech recognition (ASR) software is challenged when dysarthria accompanies a physical disability. To overcome this issue, a mobile and personal speech assistant (mPASS) platform was developed, using a speaker-dependent ASR software.
OBJECTIVE
The aim of this study was to evaluate the performance of the proposed platform and to compare mPASS recognition accuracy to a commercial speaker-independent ASR software. In addition, secondary aims were to investigate the relationship between severity of dysarthria and accuracy and to explore people with dysarthria perceptions on the proposed platform.
METHODS
Fifteen individuals with dysarthric speech and 20 individuals with nondysarthric speech recorded 24 words and 5 sentences in a clinical environment. Differences in recognition accuracy between the two systems were evaluated. In addition, mPASS usability was assessed with a technology acceptance model (TAM) questionnaire.
RESULTS
In both groups, mean accuracy rates were significantly higher with mPASS compared to the commercial ASR for words and for sentences. mPASS reached good levels of usefulness and ease of use according to the TAM questionnaire.
CONCLUSIONS
Practical applicability of this technology is realistic: the mPASS platform is accurate, and it could be easily used by individuals with dysarthria.
Topics: Dysarthria; Humans; Speech; Speech Intelligibility; Speech Perception; Speech Production Measurement; Speech Recognition Software
PubMed: 33190131
DOI: 10.1159/000511042 -
Journal of Speech, Language, and... Aug 2023Although articulatory impairment represents distinct speech characteristics in most neurological diseases affecting movement, methods allowing automated assessments of...
PURPOSE
Although articulatory impairment represents distinct speech characteristics in most neurological diseases affecting movement, methods allowing automated assessments of articulation deficits from the connected speech are scarce. This study aimed to design a fully automated method for analyzing dysarthria-related vowel articulation impairment and estimate its sensitivity in a broad range of neurological diseases and various types and severities of dysarthria.
METHOD
Unconstrained monologue and reading passages were acquired from 459 speakers, including 306 healthy controls and 153 neurological patients. The algorithm utilized a formant tracker in combination with a phoneme recognizer and subsequent signal processing analysis.
RESULTS
Articulatory undershoot of vowels was presented in a broad spectrum of progressive neurodegenerative diseases, including Parkinson's disease, progressive supranuclear palsy, multiple-system atrophy, Huntington's disease, essential tremor, cerebellar ataxia, multiple sclerosis, and amyotrophic lateral sclerosis, as well as in related dysarthria subtypes including hypokinetic, hyperkinetic, ataxic, spastic, flaccid, and their mixed variants. Formant ratios showed a higher sensitivity to vowel deficits than vowel space area. First formants of corner vowels were significantly lower for multiple-system atrophy than cerebellar ataxia. Second formants of vowels /a/ and /i/ were lower in ataxic compared to spastic dysarthria. Discriminant analysis showed a classification score of up to 41.0% for disease type, 39.3% for dysarthria type, and 49.2% for dysarthria severity. Algorithm accuracy reached an F-score of 0.77.
CONCLUSIONS
Distinctive vowel articulation alterations reflect underlying pathophysiology in neurological diseases. Objective acoustic analysis of vowel articulation has the potential to provide a universal method to screen motor speech disorders.
SUPPLEMENTAL MATERIAL
https://doi.org/10.23641/asha.23681529.
Topics: Humans; Dysarthria; Speech; Cerebellar Ataxia; Parkinson Disease; Articulation Disorders; Atrophy; Speech Acoustics; Speech Intelligibility
PubMed: 37499137
DOI: 10.1044/2023_JSLHR-22-00526 -
The Cochrane Database of Systematic... Jul 2016Children with motor impairments often have the motor speech disorder dysarthria, a condition which effects the tone, strength and co-ordination of any or all of the... (Review)
Review
BACKGROUND
Children with motor impairments often have the motor speech disorder dysarthria, a condition which effects the tone, strength and co-ordination of any or all of the muscles used for speech. Resulting speech difficulties can range from mild, with slightly slurred articulation and breathy voice, to profound, with an inability to produce any recognisable words. Children with dysarthria are often prescribed communication aids to supplement their natural forms of communication. However, there is variation in practice regarding the provision of therapy focusing on voice and speech production. Descriptive studies have suggested that therapy may improve speech, but its effectiveness has not been evaluated.
OBJECTIVES
To assess whether any speech and language therapy intervention aimed at improving the speech of children with dysarthria is more effective in increasing children's speech intelligibility or communicative participation than no intervention at all , and to compare the efficacy of individual types of speech language therapy in improving the speech intelligibility or communicative participation of children with dysarthria.
SEARCH METHODS
We searched the Cochrane Central Register of Controlled Trials (CENTRAL; 2015 , Issue 7 ), MEDLINE, EMBASE, CINAHL , LLBA, ERIC, PsychInfo, Web of Science, Scopus, UK National Research Register and Dissertation Abstracts up to July 2015, handsearched relevant journals published between 1980 and July 2015, and searched proceedings of relevant conferences between 1996 to 2015. We placed no restrictions on the language or setting of the studies. A previous version of this review considered studies published up to April 2009. In this update we searched for studies published from April 2009 to July 2015.
SELECTION CRITERIA
We considered randomised controlled trials and studies using quasi-experimental designs in which children were allocated to groups using non-random methods.
DATA COLLECTION AND ANALYSIS
One author (LP) conducted searches of all databases, journals and conference reports. All searches included a reliability check in which a second review author independently checked a random sample comprising 15% of all identified reports. We planned that two review authors would independently assess the quality and extract data from eligible studies.
MAIN RESULTS
No randomised controlled trials or group studies were identified.
AUTHORS' CONCLUSIONS
This review found no evidence from randomised trials of the effectiveness of speech and language therapy interventions to improve the speech of children with early acquired dysarthria. Rigorous, fully powered randomised controlled trials are needed to investigate if the positive changes in children's speech observed in phase I and phase II studies are generalisable to the population of children with early acquired dysarthria served by speech and language therapy services. Research should examine change in children's speech production and intelligibility. It must also investigate children's participation in social and educational activities, and their quality of life, as well as the cost and acceptability of interventions.
Topics: Age Factors; Child; Child, Preschool; Dysarthria; Humans; Speech Intelligibility; Speech Therapy
PubMed: 27428115
DOI: 10.1002/14651858.CD006937.pub3 -
Disability and Rehabilitation.... Oct 2023More than 80% of people living with Amyotrophic Lateral Sclerosis (plwALS) develop difficulties with their speech, affecting communication, self-identity and quality of... (Review)
Review
BACKGROUND
More than 80% of people living with Amyotrophic Lateral Sclerosis (plwALS) develop difficulties with their speech, affecting communication, self-identity and quality of life. Automatic speech recognition technology (ASR) is becoming a common way to interact with a broad range of devices, to find information and control the environment.ASR can be problematic for people with acquired neurogenic motor speech difficulties (dysarthria). Given that the field is rapidly developing, a scoping review is warranted.
AIMS
This study undertakes a scoping review on the use of ASR technology by plwALS and identifies research gaps in the existing literature.
MATERIALS AND METHODS
Electronic databases and relevant grey literature were searched from 1990 to 2020. Eleven research papers and articles were identified that included participants living with ALS using ASR technology. Relevant data were extracted from the included sources, and a narrative summary of the findings presented. Eleven publications used recordings of plwALS to assess word recognition rate (WRR) word error rate (WER) or phoneme error rate (PER) and appropriacy of responses by ASR devices. All were found to be linked to severity of dysarthria and the ASR technology used. One article examined how speech modification may improve ASR accuracy. The final article completed thematic analysis of Amazon.com reviews for the Amazon Echo and plwALS were reported to use ASR devices to control the environment and summon assistance.
CONCLUSIONS
There are gaps in the evidence base: understanding expectations of plwALS and how they use ASR technology; how WER/PER/WRR relates to usability; how ASR use changes as ALS progresses.Implications for rehabilitationDevices that people can interact with using speech are becoming ubiquitous. As movement and mobility are likely to be affected by ALS and progress over time, speech interaction could be very helpful for accessing information and environmental control.However, many people living with ALS (plwALS) also have impaired speech (dysarthria) and experience trouble using voice interaction technology because it may not understand them.Although advances in automated speech recognition (ASR) technology promise better understanding of dysarthric speech, future research needs to investigate how plwALS use ASR, how accurate it needs to be to be functionally useful, and how useful it may be over time as the disease progresses.
Topics: Humans; Speech; Dysarthria; Amyotrophic Lateral Sclerosis; Speech Perception; Speech Recognition Software; Quality of Life; Speech Disorders
PubMed: 34511007
DOI: 10.1080/17483107.2021.1974961 -
American Journal of Speech-language... Feb 2019Purpose The high incidence of swallowing and communication disorders following stroke is well documented. However, many of these studies have used retrospective chart...
Purpose The high incidence of swallowing and communication disorders following stroke is well documented. However, many of these studies have used retrospective chart reviews to make estimates of incidence and co-occurrence. The current study prospectively examined the incidence and co-occurrence of dysphagia, dysarthria, and aphasia following a 1st occurrence of ischemic stroke at an academic medical center hospital. Method One hundred patients who experienced their 1st ischemic stroke were recruited for participation in this study. All participants received a clinical swallowing evaluation to assess for dysphagia, administration of the Frenchay Dysarthria Assessment-Second Edition ( Enderby & Palmer, 2008 ) and Western Aphasia Battery-Revised ( Kertesz, 2006 ) to screen for the presence of dysarthria and aphasia, respectively. Results Incidence rates of dysphagia, dysarthria, and aphasia were 32%, 26%, and 16%, respectively. Forty-seven percent of participants had at least 1 of these disorders, 28% had 2 of these disorders, and 4% had all 3. Although the incidence rates in this study were smaller in magnitude than incidence rates in previous research, the pattern of results is broadly similar (i.e., dysphagia had the highest incidence rate, followed by dysarthria and, lastly, aphasia). Conclusions This prospective study yielded slightly lower incidence rates than have been previously obtained from retrospective chart reviews. The high incidence and co-occurrence of devastating swallowing and communication disorders post-ischemic stroke provides clear motivation for speech-language pathology involvement in the early phase of stroke rehabilitation.
Topics: Aged; Aged, 80 and over; Aphasia; Comorbidity; Deglutition Disorders; Dysarthria; Female; Humans; Incidence; Male; Middle Aged; Prospective Studies; Stroke; Wisconsin
PubMed: 31072162
DOI: 10.1044/2018_AJSLP-18-0136