Speech Recognition as a Practice Tool for Dysarthria

被引:4
|
作者
Fager, Susan Koch [1 ]
机构
[1] Madonna Rehabil Hosp, Inst Rehabil Sci & Engn, 5401 South St, Lincoln, NE 68502 USA
基金
美国国家卫生研究院;
关键词
Dysarthria; speech recognition; speech practice; DISORDERS; PEOPLE; INTELLIGIBILITY; SPEAKERS; THERAPY; SYSTEM; VOICE; MOTOR;
D O I
10.1055/s-0037-1602841
中图分类号
R36 [病理学]; R76 [耳鼻咽喉科学];
学科分类号
100104 ; 100213 ;
摘要
Recovery of speech in dysarthria requires an extensive amount of time and practice. Speech recognition (SR) technology may support long-term practice and speech recovery efforts for individuals with dysarthria. However, SR technology development has been focused on typical (neurologically intact) speakers to support writing. This article describes the history and development of SR technology, how it has been used by individuals with dysarthria, and includes a case study illustration of the use of a novel SR technology as a speech practice tool. Case study participants included two individuals with differing onsets and dysarthria due to traumatic brain injury. Results indicated that both were able to make acoustic/perceptual changes during speech practice sessions, and one participant demonstrated generalization of changes to habitual speech. Limitations and future directions of current SR technology as a speech practice tool are discussed.
引用
收藏
页码:220 / 228
页数:9
相关论文
共 50 条
  • [1] Acoustic variability in dysarthria and computer speech recognition
    Blaney, B
    Wilson, J
    [J]. CLINICAL LINGUISTICS & PHONETICS, 2000, 14 (04) : 307 - 327
  • [2] Survey of Specific Speech Recognition Algorithms for Dysarthria
    Wei, Song
    Yanghao, Zhang
    [J]. Computer Engineering and Applications, 2024, 60 (11) : 62 - 74
  • [3] Universal Access: Speech Recognition for Talkers with Spastic Dysarthria
    Sharma, Harsh Vardhan
    Hasegawa-Johnson, Mark
    [J]. INTERSPEECH 2009: 10TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2009, VOLS 1-5, 2009, : 1447 - 1450
  • [4] Speech Signal Analysis and Pattern Recognition in Diagnosis of Dysarthria
    Thoppilu, Minu George
    Kumar, C. Santhosh
    Kumar, Anand
    Amose, John
    [J]. ANNALS OF INDIAN ACADEMY OF NEUROLOGY, 2017, 20 (04) : 352 - 357
  • [5] Brain Signals to Rescue Aphasia, Apraxia and Dysarthria Speech Recognition
    Krishna, Gautam
    Carnahan, Mason
    Shamapant, Shilpa
    Surendranath, Yashitha
    Jain, Saumya
    Ghosh, Arundhati
    Tran, Co
    Millan, Jose Del R.
    Tewfik, Ahmed H.
    [J]. 2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC), 2021, : 6008 - 6014
  • [6] Dysarthria recognition combining speech fusion feature and random forest
    Li, Dong
    Zhang, Xueying
    Duan, Shufei
    Yan, Mimi
    [J]. Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University, 2018, 45 (03): : 149 - 155
  • [7] On the Use of Array Learners Towards Automatic Speech Recognition for Dysarthria
    Shahamiri, Seyed Reza
    Ray, Sayan Kumar
    [J]. PROCEEDINGS OF THE 2015 10TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, 2015, : 1288 - 1292
  • [8] Interaction between people with dysarthria and speech recognition systems: A review
    Jaddoh, Aisha
    Loizides, Fernando
    Rana, Omer
    [J]. ASSISTIVE TECHNOLOGY, 2023, 35 (04) : 330 - 338
  • [9] Speech Recognition for Environmental Control: Effect of Microphone Type, Dysarthria, and Severity on Recognition Results
    Fager, Susan Koch
    Burnfield, Judith M.
    [J]. ASSISTIVE TECHNOLOGY, 2015, 27 (04) : 199 - 207
  • [10] A Tool for Differential Diagnosis of Childhood Apraxia of Speech and Dysarthria in Children: A Tutorial
    Iuzzini-Seigel, Jenya
    Allison, Kristen M.
    Stoeckel, Ruth
    [J]. LANGUAGE SPEECH AND HEARING SERVICES IN SCHOOLS, 2022, 53 (04) : 926 - 946