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Journal Abstract Search

172 related items for PubMed ID: 24222784

  • 1. Estimation of phoneme-specific HMM topologies for the automatic recognition of dysarthric speech.
    Caballero-Morales SO.
    Comput Math Methods Med; 2013; 2013():297860. PubMed ID: 24222784
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  • 2. Regularized Speaker Adaptation of KL-HMM for Dysarthric Speech Recognition.
    Kim M, Kim Y, Yoo J, Wang J, Kim H.
    IEEE Trans Neural Syst Rehabil Eng; 2017 Sep; 25(9):1581-1591. PubMed ID: 28320669
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  • 3. Improving Acoustic Models in TORGO Dysarthric Speech Database.
    Joy NM, Umesh S.
    IEEE Trans Neural Syst Rehabil Eng; 2018 Mar; 26(3):637-645. PubMed ID: 29522408
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  • 4. Investigation of an HMM/ANN hybrid structure in pattern recognition application using cepstral analysis of dysarthric (distorted) speech signals.
    Polur PD, Miller GE.
    Med Eng Phys; 2006 Oct; 28(8):741-8. PubMed ID: 16359906
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  • 6. Effect of high-frequency spectral components in computer recognition of dysarthric speech based on a Mel-cepstral stochastic model.
    Polur PD, Miller GE.
    J Rehabil Res Dev; 2005 Oct; 42(3):363-71. PubMed ID: 16187248
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  • 8. A speech-controlled environmental control system for people with severe dysarthria.
    Hawley MS, Enderby P, Green P, Cunningham S, Brownsell S, Carmichael J, Parker M, Hatzis A, O'Neill P, Palmer R.
    Med Eng Phys; 2007 Jun; 29(5):586-93. PubMed ID: 17049905
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  • 9. Representation Learning Based Speech Assistive System for Persons With Dysarthria.
    Chandrakala S, Rajeswari N.
    IEEE Trans Neural Syst Rehabil Eng; 2017 Sep; 25(9):1510-1517. PubMed ID: 27992342
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  • 11. A Weighted Speaker-Specific Confusion Transducer-Based Augmentative and Alternative Speech Communication Aid for Dysarthric Speakers.
    Mariya Celin TA, Anushiya Rachel G, Nagarajan T, Vijayalakshmi P.
    IEEE Trans Neural Syst Rehabil Eng; 2019 Feb; 27(2):187-197. PubMed ID: 30571643
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  • 12. Experiments with fast Fourier transform, linear predictive and cepstral coefficients in dysarthric speech recognition algorithms using hidden Markov Model.
    Polur PD, Miller GE.
    IEEE Trans Neural Syst Rehabil Eng; 2005 Dec; 13(4):558-61. PubMed ID: 16425838
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  • 13. Severity-based adaptation with limited data for ASR to aid dysarthric speakers.
    Mustafa MB, Salim SS, Mohamed N, Al-Qatab B, Siong CE.
    PLoS One; 2014 Dec; 9(1):e86285. PubMed ID: 24466004
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  • 14. Multi-Stage Audio-Visual Fusion for Dysarthric Speech Recognition With Pre-Trained Models.
    Yu C, Su X, Qian Z.
    IEEE Trans Neural Syst Rehabil Eng; 2023 Dec; 31():1912-1921. PubMed ID: 37030692
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  • 16. Automatic speech recognition and training for severely dysarthric users of assistive technology: the STARDUST project.
    Parker M, Cunningham S, Enderby P, Hawley M, Green P.
    Clin Linguist Phon; 2006 Dec; 20(2-3):149-56. PubMed ID: 16428231
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  • 18. Assessment of laryngeal dysfunctions of dysarthric speakers.
    Surabhi V, Vijayalakshmi P, Steffina L, Jayanthan RV.
    Annu Int Conf IEEE Eng Med Biol Soc; 2009 Dec; 2009():2608-11. PubMed ID: 19965223
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  • 20. Assessing speech intelligibility of pathological speech in sentences and word lists: The contribution of phoneme-level measures.
    Xue W, van Hout R, Cucchiarini C, Strik H.
    J Commun Disord; 2023 Dec; 102():106301. PubMed ID: 36709701
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