Journal of Speech Language and Hearing Research最新文献

{"title":"RETRACTION: The Relationship Between Oral and Written Language in Narrative Production by Arabic-Speaking Children: Fundamental Skills and Influences.","authors":"","doi":"10.1044/2024_Nov2024ASHA","DOIUrl":"10.1044/2024_Nov2024ASHA","url":null,"abstract":"","PeriodicalId":51254,"journal":{"name":"Journal of Speech Language and Hearing Research","volume":" ","pages":"4533"},"PeriodicalIF":2.2,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142577328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automatic Speech Recognition of Conversational Speech in Individuals With Disordered Speech.","authors":"Jimmy Tobin, Phillip Nelson, Bob MacDonald, Rus Heywood, Richard Cave, Katie Seaver, Antoine Desjardins, Pan-Pan Jiang, Jordan R Green","doi":"10.1044/2024_JSLHR-24-00045","DOIUrl":"10.1044/2024_JSLHR-24-00045","url":null,"abstract":"<p><strong>Purpose: </strong>This study examines the effectiveness of automatic speech recognition (ASR) for individuals with speech disorders, addressing the gap in performance between read and conversational ASR. We analyze the factors influencing this disparity and the effect of speech mode-specific training on ASR accuracy.</p><p><strong>Method: </strong>Recordings of read and conversational speech from 27 individuals with various speech disorders were analyzed using both (a) one speaker-independent ASR system trained and optimized for typical speech and (b) multiple ASR models that were personalized to the speech of the participants with disordered speech. Word error rates were calculated for each speech model, read versus conversational, and subject. Linear mixed-effects models were used to assess the impact of speech mode and disorder severity on ASR accuracy. We investigated nine variables, classified as technical, linguistic, or speech impairment factors, for their potential influence on the performance gap.</p><p><strong>Results: </strong>We found a significant performance gap between read and conversational speech in both personalized and unadapted ASR models. Speech impairment severity notably impacted recognition accuracy in unadapted models for both speech modes and in personalized models for read speech. Linguistic attributes of utterances were the most influential on accuracy, though atypical speech characteristics also played a role. Including conversational speech samples in model training notably improved recognition accuracy.</p><p><strong>Conclusions: </strong>We observed a significant performance gap in ASR accuracy between read and conversational speech for individuals with speech disorders. This gap was largely due to the linguistic complexity and unique characteristics of speech disorders in conversational speech. Training personalized ASR models using conversational speech significantly improved recognition accuracy, demonstrating the importance of domain-specific training and highlighting the need for further research into ASR systems capable of handling disordered conversational speech effectively.</p>","PeriodicalId":51254,"journal":{"name":"Journal of Speech Language and Hearing Research","volume":" ","pages":"4176-4185"},"PeriodicalIF":2.2,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141535884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bilingual Children Demonstrate Variation Within Shared Narrative Macrostructure.","authors":"Alejandro Granados Vargas, Elizabeth D Peña, Lisa M Bedore","doi":"10.1044/2024_JSLHR-23-00778","DOIUrl":"10.1044/2024_JSLHR-23-00778","url":null,"abstract":"<p><strong>Aims: </strong>We investigate the relationship between narrative macrostructure, current language exposure, and microstructure in second-grade Spanish-English bilingual children in the United States. Macrostructure knowledge has been claimed to be shared across languages in multilingual individuals. We examine the role of current language exposure and microstructure on macrostructure and how individual children organize their stories in English and Spanish. We use sociocultural theory to investigate differences in the macrostructural elements children choose to include in their stories by language.</p><p><strong>Methodology: </strong>Using existing data, we used a two-sample <i>t</i>-test to compare average macrostructure and microstructure performance in English and Spanish in addition to performance on subcomponents of macrostructure. A correlational analysis was used to compare narrative performance in both languages. We used regression analysis to investigate to what extent current language exposure and microstructure influenced the macrostructure of 62 Spanish-English bilingual second graders' stories.</p><p><strong>Results: </strong>Children used more words and a greater variety of words in Spanish compared to English. However, they demonstrated comparable use of overall macrostructure across languages, in addition to variation in what macrostructure subcomponents they use by language of story elicitation. No statistically significant relationship was found between current language exposure and macrostructure, except for Spanish story structure. Correlational analysis revealed a significant relationship between macrostructure performance in English and Spanish. A significant relationship was found within languages between microstructure and macrostructure and across languages between Spanish microstructure and English internal state terms.</p><p><strong>Discussion: </strong>Findings are consistent with extant literature that claims macrostructure is shared across languages. Children require lexical diversity across languages to express their ideas organized within macrostructural elements. Although bilingual children tell comparably complex stories, they may be making culturally and linguistically specific decisions about what macrostructure components to include in their stories.</p>","PeriodicalId":51254,"journal":{"name":"Journal of Speech Language and Hearing Research","volume":" ","pages":"4504-4517"},"PeriodicalIF":4.6,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11567087/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142512651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Treatment and Outcome Metrics for Speech-Language Pathology Treatment of Upper Airway Disorders: A Systematic Review.","authors":"Mary J Sandage, Mariah E Morton-Jones, Rebecca J Hall-Landers, Jordan G Tucker","doi":"10.1044/2024_JSLHR-24-00396","DOIUrl":"10.1044/2024_JSLHR-24-00396","url":null,"abstract":"<p><strong>Objective: </strong>Clinical treatment strategies and progress metrics for patients with inducible laryngeal obstruction (ILO) and exercise-induced laryngeal obstruction (EILO) have not been systematically applied across clinics. The goals of this review were to identify the intervention strategies used to treat upper airway disorders and determine the clinical metrics by which improvement or resolution of ILO/EILO is determined in clinical studies of speech-language pathology intervention.</p><p><strong>Method: </strong>A systematic review was conducted using the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Systematic Reviews Checklist. English language, full-text publications were identified through MEDLINE (Ovid), APA PsycINFO, and Web of Science for publications that described clinical outcomes following behavioral treatment for ILO provided by a speech-language pathologist (SLP).</p><p><strong>Results: </strong>A total of 238 sources were retrieved, of which 75 were duplicates. Titles and abstracts of 163 were screened, with 22 sources included for full-text review. Citation review yielded nine additional resources. Thirty-one sources were included for data extraction. Most sources described use of respiratory/laryngeal retraining. There was a lack of consistency for clinical and standardized metrics used to evaluate improvement or resolution of upper airway symptoms.</p><p><strong>Conclusions: </strong>Behavioral and standardized outcome metrics for evaluating therapy outcomes from SLP behavioral intervention of ILO/EILO are not consistently applied. Clinical metrics standards for clinicians are needed to provide a means to evaluate graded improvement in treatment and changes in health care utilization as well as for training less-experienced clinicians.</p><p><strong>Supplemental material: </strong>https://doi.org/10.23641/asha.27172683.</p>","PeriodicalId":51254,"journal":{"name":"Journal of Speech Language and Hearing Research","volume":" ","pages":"4391-4410"},"PeriodicalIF":2.2,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142480247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multimodal Technologies for Remote Assessment of Neurological and Mental Health.","authors":"Vikram Ramanarayanan","doi":"10.1044/2024_JSLHR-24-00142","DOIUrl":"10.1044/2024_JSLHR-24-00142","url":null,"abstract":"<p><strong>Purpose: </strong>Automated remote assessment and monitoring of patients' neurological and mental health is increasingly becoming an essential component of the digital clinic and telehealth ecosystem, especially after the COVID-19 pandemic. This review article reviews various modalities of health information that are useful for developing such remote clinical assessments in the real world at scale.</p><p><strong>Approach: </strong>We first present an overview of the various modalities of health information-speech acoustics, natural language, conversational dynamics, orofacial or full body movement, eye gaze, respiration, cardiopulmonary, and neural-which can each be extracted from various signal sources-audio, video, text, or sensors. We further motivate their clinical utility with examples of how information from each modality can help us characterize how different disorders affect different aspects of patients' spoken communication. We then elucidate the advantages of combining one or more of these modalities toward a more holistic, informative, and robust assessment.</p><p><strong>Findings: </strong>We find that combining multiple modalities of health information allows for improved scientific interpretability, improved performance on downstream health applications such as early detection and progress monitoring, improved technological robustness, and improved user experience. We illustrate how these principles can be leveraged for remote clinical assessment at scale using a real-world case study of the Modality assessment platform.</p><p><strong>Conclusion: </strong>This review article motivates the combination of human-centric information from multiple modalities to measure various aspects of patients' health, arguing that remote clinical assessment that integrates this complementary information can be more effective and lead to better clinical outcomes than using any one data stream in isolation.</p>","PeriodicalId":51254,"journal":{"name":"Journal of Speech Language and Hearing Research","volume":" ","pages":"4233-4245"},"PeriodicalIF":2.2,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141565065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How People Living With Amyotrophic Lateral Sclerosis Use Personalized Automatic Speech Recognition Technology to Support Communication.","authors":"Richard Cave","doi":"10.1044/2024_JSLHR-24-00097","DOIUrl":"10.1044/2024_JSLHR-24-00097","url":null,"abstract":"<p><strong>Purpose: </strong>Amyotrophic lateral sclerosis (ALS) is a progressive, ultimately fatal disease causing progressive muscular weakness. Most people living with ALS (plwALS) experience dysarthria, eventually becoming unable to communicate using natural speech. Many wish to use speech for as long as possible. Personalized automated speech recognition (ASR) model technology, such as Google's Project Relate, is argued to better recognize speech with dysarthria, supporting maintenance of understanding through real-time captioning. The objectives of this study are how plwALS and communication partners use Relate in everyday conversation over a period of up to 12 months and how it may change with any decline in speech over time.</p><p><strong>Method: </strong>This study videoed interactions between three plwALS and communication partners. We assessed ASR caption accuracy and how well they preserved meaning. Conversation analysis was used to identify participants' own organizational practices in the accomplishment of interaction. Thematic analysis was used to understand better the participants' experiences of using ASR captions.</p><p><strong>Results: </strong>All plwALS reported lower-than-expected ASR accuracy when used in conversation and felt ASR captioning was only useful in certain contexts. All participants liked the concept of live captioning and were hopeful that future improvements to ASR accuracy may support their communication in everyday life.</p><p><strong>Conclusions: </strong>Training is needed on best practices for customization and practical use of ASR technology and for the limitations of ASR in conversational settings. Support is needed for those less confident with technology and to reduce misplaced allocation of ownership of captioning errors, risking negative effects on psychological well-being.</p>","PeriodicalId":51254,"journal":{"name":"Journal of Speech Language and Hearing Research","volume":" ","pages":"4186-4202"},"PeriodicalIF":2.2,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141592048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Vocal Characteristics of Children With Cerebral Palsy and Anarthria.","authors":"Helen L Long, Katherine C Hustad","doi":"10.1044/2024_JSLHR-24-00317","DOIUrl":"10.1044/2024_JSLHR-24-00317","url":null,"abstract":"<p><strong>Purpose: </strong>This study aimed to investigate the vocal characteristics of children with cerebral palsy (CP) and anarthria using the stage model of vocal development.</p><p><strong>Method: </strong>Vocal characteristics of 39 children with CP and anarthria around 4 years of age were analyzed from laboratory-based caregiver-child interactions. Perceptual coding analysis was conducted using the Stark Assessment of Early Vocal Development-Revised to examine vocal complexity, volubility, and consonant diversity.</p><p><strong>Results: </strong>Children predominately produced vocalizations corresponding to the two earliest stages of vocal development characterized by vowel-like utterances. They showed a limited attainment of consonantal features with low consonant diversity and variably low vocal rates.</p><p><strong>Conclusions: </strong>Our results demonstrate that underlying neurological impairments resulting in an anarthric status in children with CP affect the progression of speech motor development and their ability to advance beyond early vocal stages. These findings highlight the importance of considering alternative communication modalities for children demonstrating similar vocal characteristics beyond expected periods of development.</p>","PeriodicalId":51254,"journal":{"name":"Journal of Speech Language and Hearing Research","volume":" ","pages":"4264-4274"},"PeriodicalIF":4.6,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11567076/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142367368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Socio-Communicative Behaviors Involving Minimally Speaking Autistic Preschoolers and Their Typically Developing Peers: Effects of an Augmentative and Alternative Communication Intervention Package.","authors":"Tiffany Chavers Edgar, Ralf W Schlosser, Rajinder Koul","doi":"10.1044/2024_JSLHR-24-00210","DOIUrl":"10.1044/2024_JSLHR-24-00210","url":null,"abstract":"<p><strong>Purpose: </strong>The purpose of this study was to examine the effectiveness of an augmentative and alternative communication (AAC) intervention package consisting of systematic instruction and aided AAC modeling with speech-output technology on the acquisition, maintenance, and generalization of socio-communicative behaviors in four minimally speaking, preschool-aged, autistic children.</p><p><strong>Method: </strong>A multiple-probe design across behaviors (i.e., initiating a request for a turn, answering questions, and commenting) replicated across participants was implemented to evaluate the effects of the intervention package on socio-communicative behaviors. Furthermore, a pretreatment and posttreatment multiple-generalization-probe design was used to assess generalization across typically developing peers who were not a part of the intervention. Maintenance data were collected 3 weeks post intervention.</p><p><strong>Results: </strong>Visual analysis, corroborated by nonoverlapping of all pairs statistics, established a strong functional relationship between the AAC intervention package and all targeted socio-communicative outcomes for two participants. For the other two participants, inconsistent intervention effects were observed. In terms of generalization from interacting with the researcher to typically developing peers, a functional relationship between the intervention and generalization outcomes for all targeted behaviors was established for only one participant (i.e., Aiden).</p><p><strong>Conclusion: </strong>The outcomes of this study suggest that aided AAC modeling and systematic instruction using a speech-output technology may lead to gains in socio-communicative behaviors in some minimally speaking, preschool-aged, autistic children.</p><p><strong>Supplemental material: </strong>https://doi.org/10.23641/asha.27091879.</p>","PeriodicalId":51254,"journal":{"name":"Journal of Speech Language and Hearing Research","volume":" ","pages":"4466-4486"},"PeriodicalIF":4.6,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11567110/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142376209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Effects of Home Language Use on Spanish Speech Measures in Bilingual Children With Hearing Loss Who Use Cochlear Implants and Their Peers With Normal Hearing.","authors":"Sofia Hein Machado, Alex Sweeney, Arturo E Hernandez, Ferenc Bunta","doi":"10.1044/2024_JSLHR-24-00128","DOIUrl":"10.1044/2024_JSLHR-24-00128","url":null,"abstract":"<p><strong>Purpose: </strong>The purpose of this study was to investigate how the amount of home language use between the primary caregiver and bilingual Spanish- and English-speaking children with hearing loss who use cochlear implants (CIs) versus their bilingual age-matched peers with normal hearing (NH) can impact speech outcomes in the home language.</p><p><strong>Method: </strong>Thirty-four bilingual Spanish- and English-speaking children (17 CI users and 17 with NH) between the ages of 5;3 and 7;9 (years;months) participated in this study. Independent variables were the amount of home language use with the primary caregiver and hearing status, and dependent variables were vowels and consonants correctly produced and occurrence of selected phonological processes. The amount of home language use was ascertained from surveys, and the dependent measures were based on a single-word picture elicitation task.</p><p><strong>Results: </strong>Bilingual children with CIs who are exposed to Spanish for more than 80% of the time via their primary caregiver performed better on Spanish segmental accuracy measures than those who are exposed to Spanish from only 20% to 50% of the time, specifically on vowels (partial η² = .31) and consonants (partial η² = .025). Children with NH outperformed children with CIs on all accuracy measures in Spanish.</p><p><strong>Conclusions: </strong>Preliminary results suggest the importance of language exposure through interactions with the primary caregiver for speech development in bilingual children. Future studies should investigate strategies to facilitate home language development in bilingual children with CIs, enabling them to reach their full potential.</p>","PeriodicalId":51254,"journal":{"name":"Journal of Speech Language and Hearing Research","volume":" ","pages":"4518-4532"},"PeriodicalIF":4.6,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11567057/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142480236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Operationalizing Clinical Speech Analytics: Moving From Features to Measures for Real-World Clinical Impact.","authors":"Julie Liss, Visar Berisha","doi":"10.1044/2024_JSLHR-24-00039","DOIUrl":"10.1044/2024_JSLHR-24-00039","url":null,"abstract":"<p><strong>Objective: </strong>This research note advocates for a methodological shift in clinical speech analytics, emphasizing the transition from high-dimensional <i>speech feature</i> representations to clinically validated <i>speech measures</i> designed to operationalize clinically relevant constructs of interest. The aim is to enhance model generalizability and clinical applicability in real-world settings.</p><p><strong>Method: </strong>We outline the challenges of using conventional supervised machine learning models in clinical speech analytics, particularly their limited generalizability and interpretability. We propose a new framework focusing on speech measures that are closely tied to specific speech constructs and have undergone rigorous validation. This research note discusses a case study involving the development of a measure for articulatory precision in amyotrophic lateral sclerosis (ALS), detailing the process from ideation through Food and Drug Administration (FDA) breakthrough status designation.</p><p><strong>Results: </strong>The case study demonstrates how the operationalization of the articulatory precision construct into a quantifiable measure yields robust, clinically meaningful results. The measure's validation followed the V3 framework (verification, analytical validation, and clinical validation), showing high correlation with clinical status and speech intelligibility. The practical application of these measures is exemplified in a clinical trial and designation by the FDA as a breakthrough status device, underscoring their real-world impact.</p><p><strong>Conclusions: </strong>Transitioning from speech features to speech measures offers a more targeted approach for developing speech analytics tools in clinical settings. This shift ensures that models are not only technically sound but also clinically relevant and interpretable, thereby bridging the gap between laboratory research and practical health care applications. We encourage further exploration and adoption of this approach for developing interpretable speech representations tailored to specific clinical needs.</p>","PeriodicalId":51254,"journal":{"name":"Journal of Speech Language and Hearing Research","volume":" ","pages":"4226-4232"},"PeriodicalIF":2.2,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141263395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}