Author:
Chhabra Priyanka,Chhillar Shailja,Tanwar Riya,Verma Muskan,Indra Gaurav
Publisher
Springer Nature Singapore
Reference13 articles.
1. Cucchiarini, C., de Wet, F., Strik, H., Boves, L.: Assessment of Dutch pronunciation by means of automatic speech recognition technology. In: Proceedings of the ICSLP 1998, pp. 751–754 (1998)
2. Maqsood, M., Habib, H.A., Nawaz, T.: Feature selection for Arabic mispronunciation detection based on sequential floating forward selection and data mining classifiers. Pakistan J. Sci. 68(4), 445–452 (2016)
3. Li, K., Qian, X., Meng, H.: Mispronunciation detection and diagnosis in L2 English speech using multidistribution deep neural networks,. IEEE/ACM Trans. Audio, Speech, Lang. Process 25(1), 193–207 (2017)
4. Amdal, I., Johnsen, M.H., Versvik, E.: Automatic evaluation of quantity contrast in nonnative Norwegian speech. In: Proceedings of the International Workshop Speech Language Technology Education (2009), pp. 21–24
5. Lee, A., Zhang, Y., Glass, J.: Mispronunciation detection via dynamic time warping on deep belief network-based posteriorgrams. In: Proceedings of the IEEE International Conference Acoustical, Speech Signal Process. (ICASSP), pp. 8227–8231 (2013)