References
- G. Saon and J.-T. Chien, “Large-Vocabulary Continuous Speech Recognition Systems: A Look at Some Recent Advances,” in IEEE Signal Processing Magazine, vol. 29, no. 6, pp. 18-33, Nov. 2012, doi: 10.1109/MSP.2012.2197156.
- J. M. Baker et al., “Developments and directions in speech recognition and understanding, Part 1 [DSP Education],” in IEEE Signal Processing Magazine, vol. 26, no. 3, pp. 75-80, May 2009, doi: 10.1109/MSP.2009.932166.
- Z. Huang, P. Li, J. Xu, P. Zhang and Y. Yan, “Contextdependent Label Smoothing Regularization for Attention-based End-to-End Code-Switching Speech Recognition,” 2021 12th International Symposium on Chinese Spoken Language Processing (ISCSLP), Hong Kong, 2021, pp. 1-5, doi: 10.1109/ISCSLP49672.2021.9362080.
- Khurana, A. Koli, K. Khatter, and S. Singh, “Natural language processing: state of the art, current trends and challenges”, Multimedia Tools and Applications, vol. 82, pp. 3713–3744, 2022
- P. Maergner, A. Waibel and I. Lane, “Unsupervised vocabulary selection for real-time speech recognition of lectures,” 2012 IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP), Kyoto, Japan, 2012, pp. 4417-4420, doi: 10.1109/ICASSP.2012.6288899.
- L. A. Kumar, D. K. Renuka, S. L. Rose, M. C. Shunmuga priya, and I. M. Wartana, “Deep learning based assistive technology on audio visual speech recognition for hearing impaired,” International Journal of Cognitive Computing in Engineering, vol. 3, pp. 24-30, 2022.
- H. C. Ozmutlu and F. Çavdur, “Application of automatic topic identification on Excite Web search engine data logs,” Information Processing & Management, vol. 41, no. 5, pp. 1243-1262, 2005, doi: 10.1016/j.ipm.2004.04.018
- P. R. Nivedha and V. P. Sumathi, “A Survey on Text Mining Tools and Techniques support early testcase prediction,” 2021 Int. Conf. on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA), Coimbatore, India, 2021, pp. 1-5, doi: 10.1109/ICAECA52838.2021.9675761.
- D. A. McFarland, D. Ramage, J. Chuang, J. Heer, C. D. Manning, and D. Jurafsky, “Differentiating language usage through topic models,” Poetics, vol. 41, no. 6, pp. 607-625, 2013. doi: 10.1016/j.poetic.2013.06.004.
- L. B. Iantovics, C. Rotar, and M. A. Niazi, “MetrIntPair-A Novel Accurate Metric for the Comparison of Two Cooperative Multiagent Systems Intelligence Based on Paired Intelligence Measurements,” Int. Jou. of Intelligent Systems, vol. 33, no. 3, pp. 463-486, 2018. doi:10.1002/int.21903
- L. B. Iantovics, L. Kovacs, and C. Rotar, “MeasApplInt - a Novel Intelligence Metric for Choosing the Computing Systems Able to Solve Real-life Problems with a High Intelligence,” Applied Intelligence, vol. 49, pp. 3491–3511, 2019. doi:10.1007/s10489-019-01440-5
- L. B. Iantovics, “Black-Box-Based Mathematical Modelling of Machine Intelligence Measuring,” Mathematics, vol. 9, no. 6, p. 681, 2021.doi: 10.3390/math9060681
- L. B. Iantovics, M. Dehmer, and F. Emmert-Streib, “MetrIntSimil-An Accurate and Robust Metric for Comparison of Similarity in Intelligence of Any Number of Cooperative Multiagent Systems,” Symmetry, vol. 10, no. 2, p. 48, 2018. doi:10.3390/sym10020048
- L. B. Iantovics, R. Kountchev, and G. C. Crișan, “ExtrIntDetect-A New Universal Method for the Identification of Intelligent Cooperative Multiagent Systems with Extreme Intelligence,” Symmetry, vol. 11, no. 9, p. 1123, 2019. doi: 10.3390/sym11091123
- S. Badlani, T. Aditya, M. Dave and S. Chaudhari, “Multilingual Healthcare Chatbot Using Machine Learning,” 2021 2nd Int. Conf. for Emerging Technology (INCET), Belagavi, India, 2021, pp. 1- 6, doi: 10.1109/INCET51464.2021.9456304
- B. Dinesh, P. Chilukuri, G. P. Sree, K. Venkatesh, M. Delli and K. R. Nandish, “Chat and Voice Bot Implementation for Cardio and ENT Queries Using NLP,” 2023 Int. Conf. on Innovative Data Communication Technologies and Application (ICIDCA), Uttarakhand, India, 2023, pp. 124-130, doi: 10.1109/ICIDCA56705.2023.10099942
- É. Arnaud, M. Elbattah, M. Gignon and G. Dequen, “NLP-Based Prediction of Medical Specialties at Hospital Admission Using Triage Notes,” 2021 IEEE 9th Int. Conf. on Healthcare Informatics (ICHI), Victoria, BC, Canada, 2021, pp. 548-553, doi: 10.1109/ICHI52183.2021.00103.