These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

127 related articles for article (PubMed ID: 29628620)

  • 1. Automatic Analysis of Pronunciations for Children with Speech Sound Disorders.
    Dudy S; Bedrick S; Asgari M; Kain A
    Comput Speech Lang; 2018 Jul; 50():62-84. PubMed ID: 29628620
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Impacts of multicollinearity on CAPT modalities: An heterogeneous machine learning framework for computer-assisted French phoneme pronunciation training.
    Bi Y; Li C; Benezeth Y; Yang F
    PLoS One; 2021; 16(10):e0257901. PubMed ID: 34662367
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Dynamic time warping in phoneme modeling for fast pronunciation error detection.
    Miodonska Z; Bugdol MD; Krecichwost M
    Comput Biol Med; 2016 Feb; 69():277-85. PubMed ID: 26739104
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Automatic pronunciation error detection in non-native speech: the case of vowel errors in Dutch.
    van Doremalen J; Cucchiarini C; Strik H
    J Acoust Soc Am; 2013 Aug; 134(2):1336-47. PubMed ID: 23927130
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Pronunciation analysis for children with speech sound disorders.
    Dudy S; Asgari M; Kain A
    Annu Int Conf IEEE Eng Med Biol Soc; 2015 Aug; 2015():5573-6. PubMed ID: 26737555
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automatic recognition of pathological phoneme production.
    Wielgat R; Zieliński TP; Woźniak T; Grabias S; Król D
    Folia Phoniatr Logop; 2008; 60(6):323-31. PubMed ID: 19011305
    [TBL] [Abstract][Full Text] [Related]  

  • 7. End-to-End Automatic Pronunciation Error Detection Based on Improved Hybrid CTC/Attention Architecture.
    Zhang L; Zhao Z; Ma C; Shan L; Sun H; Jiang L; Deng S; Gao C
    Sensors (Basel); 2020 Mar; 20(7):. PubMed ID: 32218379
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A transfer learning approach to goodness of pronunciation based automatic mispronunciation detection.
    Huang H; Xu H; Hu Y; Zhou G
    J Acoust Soc Am; 2017 Nov; 142(5):3165. PubMed ID: 29195422
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Non-native acoustic modeling for mispronunciation verification based on language adversarial representation learning.
    Yang L; Fu K; Zhang J; Shinozaki T
    Neural Netw; 2021 Oct; 142():597-607. PubMed ID: 34388438
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Phonological feature-based speech recognition system for pronunciation training in non-native language learning.
    Arora V; Lahiri A; Reetz H
    J Acoust Soc Am; 2018 Jan; 143(1):98. PubMed ID: 29390749
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Implementation of a System for Assessing the Quality of Spoken English Pronunciation Based on Cognitive Heuristic Computing.
    Wu Y; Zheng C; Hao M; Wang L
    Comput Intell Neurosci; 2022; 2022():5239375. PubMed ID: 35845915
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Heterophonic speech recognition using composite phones.
    Alkhairy A; Jafri A
    Springerplus; 2016; 5(1):2008. PubMed ID: 27933264
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Computer-Assisted Visual Articulation Feedback in L2 Pronunciation Instruction: A Review.
    Bliss H; Abel J; Gick B
    J Second Lang Pronunciation; 2018 Jan; 4(1):129-153. PubMed ID: 34262851
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Spelling pronunciation and visual preview both facilitate learning to spell irregular words.
    Hilte M; Reitsma P
    Ann Dyslexia; 2006 Dec; 56(2):301-18. PubMed ID: 17849202
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Filled pause refinement based on the pronunciation probability for lecture speech.
    Long YH; Ye H
    PLoS One; 2015; 10(4):e0123466. PubMed ID: 25860959
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of articulation error patterns using a novel dependence network.
    Chen YJ
    IEEE Trans Biomed Eng; 2011 Nov; 58(11):3061-8. PubMed ID: 22009868
    [TBL] [Abstract][Full Text] [Related]  

  • 17. DIACRITIC-LEVEL PRONUNCIATION ANALYSIS USING PHONOLOGICAL FEATURES.
    Kain A; Roten A; Gale R
    Proc IEEE Int Conf Acoust Speech Signal Process; 2020 May; 2020():8084-8088. PubMed ID: 33613125
    [TBL] [Abstract][Full Text] [Related]  

  • 18. English Speech Recognition System Model Based on Computer-Aided Function and Neural Network Algorithm.
    Zhang J
    Comput Intell Neurosci; 2022; 2022():7846877. PubMed ID: 35498214
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Multi-Feature Intelligent Oral English Error Correction Based on Few-Shot Learning Technology.
    Zhang F; Sun J
    Comput Intell Neurosci; 2022; 2022():2501693. PubMed ID: 35785085
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automated speech analysis tools for children's speech production: A systematic literature review.
    McKechnie J; Ahmed B; Gutierrez-Osuna R; Monroe P; McCabe P; Ballard KJ
    Int J Speech Lang Pathol; 2018 Nov; 20(6):583-598. PubMed ID: 29996691
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.