Autors: Gevaert, W., Tsenov, G. T., Mladenov, V. M.
Title: Neural Networks used for Speech Recognition
Keywords: speech recognition, neural networks, Feedforward Neural Netw

Abstract: In this paper is presented an investigation of the speech recognition classification performance. This investigation on the speech recognition classification performance is performed using two standard neural networks structures as the classifier. The utilized standard neural network types include Feed-forward Neural Network (NN) with back propagation algorithm and a Radial Basis Functions Neural Networks.

References

    Issue

    UNIVERSITY OF BELGRADE, vol. 20, pp. 1-7, 2010, Serbia, JOURNAL OF AUTOMATIC CONTROL, DOI: 10.2298/JAC1001001G

    Цитирания (Citation/s):
    1. Bertran, Marta, Rosa Ma Alsina-Pagès, and Elena Tena. "Pipistrellus pipistrellus and Pipistrellus pygmaeus in the Iberian Peninsula: an annotated segmented dataset and a proof of concept of a classifier in a real environment." Applied Sciences 9, no. 17 (2019): 3467. - 2019 - в издания, индексирани в Scopus или Web of Science
    2. Abdulghani, M.M., Al-Aubidy, K.M., Ali, M.M. and Hamarsheh, Q.J., 2020. Wheelchair Neuro Fuzzy Control and Tracking System Based on Voice Recognition. Sensors, 20(10), p.2872. - 2020 - в издания, индексирани в Scopus или Web of Science
    3. Martinek, R., Vanus, J., Nedoma, J., Fridrich, M., Frnda, J. and Kawala-Sterniuk, A., 2020. Voice communication in noisy environments in a smart house using hybrid lms+ ica algorithm. Sensors, 20(21), p.6022. - 2020 - в издания, индексирани в Scopus или Web of Science
    4. Debnath, S. and Roy, P., 2021. Appearance and shape-based hybrid visual feature extraction: toward audio–visual automatic speech recognition. Signal, Image and Video Processing, 15(1), pp.25-32. - 2021 - в издания, индексирани в Scopus или Web of Science
    5. Ghule, G., 2021. Implementation of Optimal Hidden Neuronsusing a fuzzy Controller. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(4), pp.1285-1296. - 2021 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    6. Mathew, L.R., Manohar, A., Nidheesh, S., Sainath, S., Vijayan, A. and Gopakumar, K., SPEECH RECONSTRUCTION USING LSTM NETWORKS. - 2021 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    7. Wang, X., Song, X., Man, J. and Wu, N., 2021. Exponential state estimation for reaction-diffusion inertial neural networks via incomplete measurement scheme. Cyber-Physical Systems, pp.1-19. - 2021 - в издания, индексирани в Scopus или Web of Science
    8. Abakarim, F. and Abenaou, A., 2021. Voice Pathology Detection Using the Adaptive Orthogonal Transform Method, SVM and MLP. International Journal of Online & Biomedical Engineering, 17(14). - 2021 - в издания, индексирани в Scopus или Web of Science
    9. Fernandes, S.V. and Ullah, M.S., 2021, October. Development of Spectral Speech Features for Deception Detection Using Neural Networks. In 2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) (pp. 0198-0203). IEEE. - 2021 - в издания, индексирани в Scopus или Web of Science
    10. Debnath, S., Roy, P., Justin, V. and Naik, S., 2021, January. Study of different feature extraction method for visual speech recognition. In 2021 International Conference on Computer Communication and Informatics (ICCCI) (pp. 1-5). IEEE. - 2021 - в издания, индексирани в Scopus или Web of Science
    11. Amato, F., Borzì, L., Olmo, G. and Orozco-Arroyave, J.R., 2021. An algorithm for Parkinson’s disease speech classification based on isolated words analysis. Health Information Science and Systems, 9(1), pp.1-15. - 2021 - в издания, индексирани в Scopus или Web of Science
    12. Shakil, M.D., Rahman, M.A., Soliman, M.M. and Islam, M.A., 2020, September. Automatic Isolated Speech Recognition System Using MFCC Analysis and Artificial Neural Network Classifier: Feasible For Diversity of Speech Applications. In 2020 IEEE Student Conference on Research and Development (SCOReD) (pp. 300-305). IEEE. - 2020 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    13. A survey of automatic speaker recognition system using artificial neural networks Devi, K.J., Thongam, K. 2019 Journal of Advanced Research in Dynamical and Control Systems 11(10 Special Issue), pp. 453-466 - 2019 - в издания, индексирани в Scopus или Web of Science
    14. Pangotra, A., 2020. Review On Speech Signal Processing & Its Techniques. European Journal of Molecular & Clinical Medicine, 7(7), pp.3049-3052. - 2019 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    15. Sajed, M., Jahanbakhsh, S. and Mirzaei, A., Diagnosis and Classification of Speech of People via Speech Processing Methods and Feed Forward Multilayer Perceptron Neural Network. - 2021 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    16. Balabanova, I. and Georgiev, C.A.G., VOICE CLASSIFICATION BY ARTIFICIAL NEURAL NETWORKS WITH LM AND SCG ALGORITHMS21. - 2020 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    17. Ivanova, A., 2021, October. Feed-Forward Neural Network for Graphical Symbol Recognition in Additive Noise Environment. In 2021 Big Data, Knowledge and Control Systems Engineering (BdKCSE) (pp. 1-8). IEEE. - 2021 - в издания, индексирани в Scopus или Web of Science
    18. Andreevic, H.P., 2021. Adaptation of the pronunciation dictionary for automatic recognition of different types of speech. - 2021 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    19. Batzorig, Z., Bukhtsooj, O., Chensky, A.G. and Galbaatar, T., 2020, March. Speech Recognition in Mongolian Language using a Neural Network with pre-processing Technique. In 2020 International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE) (pp. 1-5). IEEE. - 2020 - в издания, индексирани в Scopus или Web of Science
    20. Deekshitha, G. and Mary, L., 2021. Computer and Information Sciences. - 2021 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    21. IBRAHIM, S.A.E.S.E., 2021. Speech Recognition Based On Convolutional Neural Networks (Doctoral dissertation, University of Gezira). - 2021 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    22. Debnath, S. and Roy, P., 2020. User Authentication System Based on Speech and Cascade Hybrid Facial Feature. International Journal of Image and Graphics, 20(03), p.2050022. - 2020 - в издания, индексирани в Scopus или Web of Science
    23. Deekshitha, G. and Mary, L., 2021. Multilingual broad phoneme recognition and language-independent spoken term detection for low-resourced languages. Journal of King Saud University-Computer and Information Sciences. - 2021 - в издания, индексирани в Scopus или Web of Science
    24. Debnath, S. and Roy, P., 2021. Audio-Visual Automatic Speech Recognition Using PZM, MFCC and Statistical Analysis. International Journal of Interactive Multimedia & Artificial Intelligence, 7(2). - 2021 - в издания, индексирани в Scopus или Web of Science
    25. Al-Aubidy, K.M. and Abdulghani, M.M., 2021. Towards Intelligent Control of Electric Wheelchairs for Physically Challenged People. In Advanced Systems for Biomedical Applications (pp. 225-260). Springer, Cham. - 2021 - в издания, индексирани в Scopus или Web of Science
    26. Fierro, A.A., 2021. Predicción de series temporales con redes neuronales (Doctoral dissertation, Universidad Nacional de La Plata). - 2021 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    27. 113) Chakraborty, G., Sharma, M., Saikia, N. et al. Soft-computation based speech recognition system for Sylheti language. Int J Speech Technol (2022). https://doi.org/10.1007/s10772-022-09976-7 (Scopus) - 2022 - в издания, индексирани в Scopus или Web of Science
    28. Kaur, A.P., Singh, A., Sachdeva, R. and Kukreja, V., 2022. Automatic speech recognition systems: A survey of discriminative techniques. Multimedia Tools and Applications, pp.1-33., DOI 10.1007/s11042-022-13645-x (Web of Science, Scopus, Google Scholar) IF 2.396, SJR 0.716 - 2022 - в издания, индексирани в Scopus или Web of Science
    29. Ranjan, R., Thakur, A. and Narayan, Y., 2022, June. Acoustic Feature Extraction and Isolated Word Recognition of Speech Signal Using HMM for Different Dialects. In 2022 2nd International Conference on Intelligent Technologies (CONIT) (pp. 1-5)., DOI 10.1109/CONIT55038.2022.9848374 IEEE. (Scopus, Google Scholar) - 2022 - в издания, индексирани в Scopus или Web of Science
    30. CASANOVA, M.A., 2022. Echo state networks for dynamic aperture prediction. – Thesis, (Google Scholar) - 2022 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    31. Kolysnychenko, I. and Tkachov, V., 2022. Automation of the process of dynamic signals of tensometric systems using convolutional neural network. Aerospace technic and technology, (4), pp.99-105., DOI: https://doi.org/10.32620/aktt.2022.4.10 (Google Scholar) - 2022 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    32. Ibrahim, M.Z.B., 2022. Implementation of Artificial Neural Network to Recognize Numbers from Voice. In Proceedings of the 6th International Conference on Electrical, Control and Computer Engineering (pp. 895-904). Springer, Singapore., pp. 895 – 904, ISSN 18761100, ISBN 978-981168689-4, DOI 10.1007/978-981-16-8690-0_78 (Google Scholar, Scopus) SJR 0.148 - 2022 - в издания, индексирани в Scopus или Web of Science
    33. Jain, A. and Bhati, P., 2022, May. Comparative Analysis and Development of Voice-based Chatbot System for Differently-abled. In Journal of Physics: Conference Series (Vol. 2273, No. 1, p. 012003). IOP Publishing., ISSN 17426588, DOI 10.1088/1742-6596/2273/1/012003 (Google Scholar, Scopus) SJR 0.21 - 2022 - в издания, индексирани в Scopus или Web of Science
    34. Casanova, M., Dalena, B., Bonaventura, L. and Giovannozzi, M., 2023. Ensemble Reservoir Computing for Dynamical Systems: Prediction of Phase-Space Stable Region for Hadron Storage Rings. arXiv:2301.06786., https://doi.org/10.48550/arXiv.2301.06786 (Google Scholar) - 2023 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    35. Borade, B.D. and Deshmukh, R.R., 2023, Emotion Recognition from Non-Native Marathi Speech using MFCC and LPC Techniques. (Google Scholar) - 2023 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    36. Bhandari, N., 2023. Speech-To-Model: A Framework for Creating Software Models Using Voice Commands (Doctoral dissertation,). http://rave.ohiolink.edu/etdc/view?acc_num=miami1689766818522279, Miami University, pp. 1-72, (Google Scholar) - 2023 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    37. Hussain, I. and Roy, P., 2023. A hybrid adaptive neuro-fuzzy approach for automatic spoken digit recognition. International Journal of Speech Technology, vol. 26, issue (4), pp.825-832. ISSN 13812416, DOI 10.1007/s10772-023-10057-6 (Scopus, Google Scholar) - 2023 - в издания, индексирани в Scopus или Web of Science
    38. Rashmi, P. and Singh, M.P., 2023, November. Feed forward multilayer neural network models for speech recognition. In AIP Conference Proceedings (Vol. 2954, No. 1). AIP Publishing. ISSN 0094243X, ISBN 978-073544752-3, DOI 10.1063/5.0179682 (Scopus, Google Scholar) SJR 0.164 - 2023 - в издания, индексирани в Scopus или Web of Science
    39. Aboud, A., 2023. Identifying cybersickness features from EEG data using deep learning (Master's thesis, A. Aboud). (Google Scholar) - 2023 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    40. Gupta, A., Adeem, M., Mathias, S.J. and Ayyasamy, S., 2023. Speech Recognition Using Matlab., ResearchSquare, pp. 1-15, https://doi.org/10.21203/rs.3.rs-2809090/v1 (Google Scholar) under review - 2023 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science

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