INTONATION AND SPEECH RATE IN DYSARTHRIC SPEECH

被引:1
|
作者
LEDORZE, G
OUELLET, L
RYALLS, J
机构
关键词
D O I
暂无
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
Ten dysarthric speakers of various etiologies, type, and severity were compared to age-matched and gender-matched nondysarthric speakers on 40 short sentences. These sentences were presented in both declarative and interrogative versions. Measures of (1) mean intonation difference (average difference in fundamental frequency between the last syllables of interrogative and declarative sentences) and (2) speech rate were obtained using the IBM Speech Viewer them. Analyses of variance were performed on the resulting measures with subject group, sentence type, and sentence sets as independent variables. Results indicate that (1) intonation values are significantly reduced in the dysarthric group as compared to those for the nondysarthric group; (2) rate varies as a function of subject group, sentence type, and sentence set. Moreover, intonation varies with severity of dysarthria, but not speech rate. These findings concur with the notion that dysarthria is a deficit in performance rather than in competence. The results are also discussed in reference to ''breath-group'' theory for intonation (Lieberman, 1967).
引用
收藏
页码:1 / 18
页数:18
相关论文
共 50 条
  • [31] Repetition Detection in Dysarthric Speech
    Diwakar, G.
    Karjigi, Veena
    2017 2ND IEEE INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, SIGNAL PROCESSING AND NETWORKING (WISPNET), 2017, : 1150 - 1154
  • [32] Speech-to-Speech Conversion: An Approach to Enhance the Speech Intelligibility of Dysarthric Speaker
    Janai, Siddhanna
    Shreekanth, T.
    Chandan, M.
    Abraham, Ajish K.
    INTERNATIONAL JOURNAL OF AMBIENT COMPUTING AND INTELLIGENCE, 2021, 12 (01) : 184 - 206
  • [33] Using speech rhythm knowledge to improve dysarthric speech recognition
    Selouani, S. -A.
    Dahmani, H.
    Amami, R.
    Hamam, H.
    INTERNATIONAL JOURNAL OF SPEECH TECHNOLOGY, 2012, 15 (01) : 57 - 64
  • [34] Enhancement of Dysarthric Speech for Developing an Effective Speech Therapy Tool
    Sivaram, Sreeju
    Kumar, C. Santhosh
    Kumar, A. Anand
    2017 2ND IEEE INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, SIGNAL PROCESSING AND NETWORKING (WISPNET), 2017, : 2548 - 2551
  • [35] Data Augmentation using Healthy Speech for Dysarthric Speech Recognition
    Vachhani, Bhavik
    Bhat, Chitralekha
    Kopparapu, Sunil Kumar
    19TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2018), VOLS 1-6: SPEECH RESEARCH FOR EMERGING MARKETS IN MULTILINGUAL SOCIETIES, 2018, : 471 - 475
  • [36] Recognising Emotions in Dysarthric Speech Using Typical Speech Data
    Alhinti, Lubna
    Cunningham, Stuart
    Christensen, Heidi
    INTERSPEECH 2020, 2020, : 4821 - 4825
  • [37] Using speech rhythm knowledge to improve dysarthric speech recognition
    S.-A. Selouani
    H. Dahmani
    R. Amami
    H. Hamam
    International Journal of Speech Technology, 2012, 15 (1) : 57 - 64
  • [38] Dysarthric speech: A comparison of computerized speech recognition and listener intelligibility
    Doyle, PC
    Leeper, HA
    Kotler, AL
    ThomasStonell, N
    ONeill, C
    Dylke, MC
    Rolls, K
    JOURNAL OF REHABILITATION RESEARCH AND DEVELOPMENT, 1997, 34 (03): : 309 - 316
  • [39] A Dutch Dysarthric Speech Database for Individualized Speech Therapy Research
    Yilmaz, Emre
    Ganzeboom, Mario
    Beijer, Lilian
    Cucchiarini, Catia
    Strik, Helmer
    LREC 2016 - TENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, 2016, : 792 - 795
  • [40] Speech confusion index (O): A recognition rate indicator for dysarthric speakers
    Kayasith, Prakasith
    Theeramunkong, Thanaruk
    Thubthong, Nuttakorn
    ADVANCES IN NATURAL LANGUAGE PROCESSING, PROCEEDINGS, 2006, 4139 : 604 - 615