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Analysis of dysfluencies by computational intelligence
Title Analysis of dysfluencies by computational intelligence Author Pálfy Juraj SAVINFO - Ústav informatiky SAV SCOPUS RID Source document Information sciences and technologies : bulletin of the ACM Slovakia. Vol. 6, no. 2 (2014) p. 45-58 Language eng - English Country SK - Slovak Republic URL URL link Document kind rozpis článkov z periodík (rbx) Citations ESMAILI, Iman - DABANLOO, Nader Jafarnia - VALI, Mansour. Automatic classification of speech dysfluencies in continuous speech based on similarity measures and morphological image processing tools. In BIOMEDICAL SIGNAL PROCESSING AND CONTROL. ISSN 1746-8094, 2016, vol. 23, no., pp. 104-114. MAHESHA, P. - VINOD, D. S. Gaussian Mixture Model Based Classification of Stuttering Dysfluencies. In Journal of Intelligent Systems. ISSN 03341860, 2016-07-01, 25, 3, pp. 387-399. WAGHMARE, S.D. - DESHMUKH, R.R. - SHRISHRIMAL, P.P. - WAGHMARE, V.B. - JANVALE, G.B. - SONAWANE, B. A comparative study of recognition technique used for development of automatic stuttered speech dysfluency recognition system. In Indian Journal of Science and Technology. ISSN 0974-6846, 2017, vol. 10, no. 21, pp. 1-13. MAHESHA, P. - VINOD, D.S. Characterization of stuttering dysfluencies using distinctive prosodic and source features. In Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis. ISBN 978-0-12-818004-4, 2019, pp. 89-107. GUPTA, S. - SHUKLA, R.S. - SHUKLA, R.K. Literature survey and review of techniques used for automatic assessment of stuttered speech. In International Journal of Management, Technology And Engineering. ISSN 2249-7455. 2019, vol. IX, no. X, pp. 229-240. GUPTA, Sakshi - SHUKLA, Ravi S. - SHUKLA, Rajesh K. - VERMA, Rajesh. Deep Learning Bidirectional LSTM based Detection of Prolongation and Repetition in Stuttered Speech using Weighted MFCC. In INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS. ISSN 2158-107X, 2020, vol. 11, no. 9, pp. 345-356. GUPTA, S. - SHUKLA, R.S. - SHUKLA, R.K. Weighted Mel frequency cepstral coefficient based feature extraction for automatic assessment of stuttered speech using Bi-directional LSTM. In Indian Journal of Science and Technology. ISSN 0974-6846, 2021, vol. 14, no. 5, pp. 457-472. AL-BANNA, Abedal-Kareem - EDIRISINGHE, Eran - FANG, Hui - HADI, Wael. Stuttering Disfluency Detection Using Machine Learning Approaches. In JOURNAL OF INFORMATION & KNOWLEDGE MANAGEMENT, 2022, vol. 21, no. 02, pp. ISSN 0219-6492. Dostupné na: https://doi.org/10.1142/S0219649222500204. LIU, J.J. - WUMAIER, A. - WEI, D.P. - GUO, S. Automatic Speech Disfluency Detection Using wav2vec2.0 for Different Languages with Variable Lengths. In APPLIED SCIENCES-BASEL. JUL 2023, vol. 13, no. 13. Dostupné na: https://doi.org/10.3390/app13137579. AL-BANNA, Abedal-Kareem - FANG, Hui - EDIRISINGHE, Eran. A novel attention model across heterogeneous features for stuttering event detection. In EXPERT SYSTEMS WITH APPLICATIONS, 2024, vol. 244, no., pp. ISSN 0957-4174. Dostupné na: https://doi.org/10.1016/j.eswa.2023.122967. Category ADFB - Scientific papers in other domestic journals not registered in Current Contents Connect without IF (non-impacted) Category of document (from 2022) V3 - Vedecký výstup publikačnej činnosti z časopisu Type of document článok Year 2015 
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