Current Challenges and Application of Speech Recognition Process using Natural Language Processing: A Survey
作者： Neha Chadha , R.C. Gangwar , Rajeev Bedi
关键词: Computer science 、 Process (engineering) 、 Speech recognition 、 Artificial intelligence 、 Speech analytics 、 Intelligent character recognition 、 Natural language processing 、 Field (computer science) 、 Noise (video)
摘要: Speech recognition is a vast research field for researchers in modern era. Earlier, the human language was processed by computer system speech recognition. Thus, main objective to develop which improves communication enabling human-machine processing of text or speech. Various applications systems are present and these all includes various challenges. A critical machine learning based review defined addresses challenging tasks NLP. In existing systems, rate very less noise ration during process creates problem. Thus this literature we try address such kind challenges provides solution work further future.
ijcaonline.org
harvard.edu参考文章(10)
Dan Jurafsky, James H. Martin, Speech and Language Processing ,(1999)
Siva Prasad Nandyala, Kishore Kumar T, Hybrid HMM/DTW based Speech Recognition with Kernel Adaptive Filtering Method International Journal on Computational Science & Applications. ,vol. 4, pp. 11- 21 ,(2014) , 10.5121/IJCSA.2014.4102
Jayashree Padmanabhan, Melvin Jose Johnson Premkumar, Machine Learning in Automatic Speech Recognition: A Survey IETE Technical Review. ,vol. 32, pp. 240- 251 ,(2015) , 10.1080/02564602.2015.1010611
C. Y. Fook, M. Hariharan, Sazali Yaacob, AH Adom, A review: Malay speech recognition and audio visual speech recognition international conference on biomedical engineering. pp. 479- 484 ,(2012) , 10.1109/ICOBE.2012.6179063
Mohammad Rabiei, Alessandro Gasparetto, A system for feature classification of emotions based on Speech Analysis; Applications to Human-Robot Interaction international conference on robotics and mechatronics. pp. 795- 800 ,(2014) , 10.1109/ICROM.2014.6991001
Xiang-Lilan Zhang, Zhi-Gang Luo, Ming Li, Merge-Weighted Dynamic Time Warping for Speech Recognition Journal of Computer Science and Technology. ,vol. 29, pp. 1072- 1082 ,(2014) , 10.1007/S11390-014-1491-0
Elyes Zarrouk, Yassine Ben Ayed, Faiez Gargouri, Hybrid continuous speech recognition systems by HMM, MLP and SVM: a comparative study International Journal of Speech Technology. ,vol. 17, pp. 223- 233 ,(2014) , 10.1007/S10772-013-9221-5
Qirong Mao, Ming Dong, Zhengwei Huang, Yongzhao Zhan, Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks IEEE Transactions on Multimedia. ,vol. 16, pp. 2203- 2213 ,(2014) , 10.1109/TMM.2014.2360798
V. Zue, J. Glass, D. Goodine, H. Leung, M. Phillips, J. Polifroni, S. Seneff, Integration of speech recognition and natural language processing in the MIT VOYAGER system international conference on acoustics, speech, and signal processing. pp. 713- 716 ,(1991) , 10.1109/ICASSP.1991.150439
Kenji Sagae, Gwen Christian, David DeVault, David R. Traum, Towards Natural Language Understanding of Partial Speech Recognition Results in Dialogue Systems north american chapter of the association for computational linguistics. pp. 53- 56 ,(2009) , 10.3115/1620853.1620870