Efficiency of End-to-End Speech Recognition for Languages with Scarce Resources

Author:

Rudzionis Vytautas,Malukas Ugnius,Lopata Audrius

Publisher

Springer International Publishing

Reference9 articles.

1. Battenberg, E., et al.: Exploring neural transducers for end-to-end speech recognition. In: Proceedings of 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), pp. 206–213, Okinawa, Japan (2017)

2. Prager, R.W, Harrison, T.D., Fallside, F.: Boltzmann Machines for Speech Recognition, Computer, Speech and Language, vol. 1, pp 3–27, Academic Press. Cambridge (1986)

3. Bourlard, H., Wellekens, C.J.: Multilayer perceptrons and automatic speech recognition. In: Proceedings of IEEE First International Conference on Neural Networks. San Diego, Calif, pp. 407–416 (1987)

4. Watrous, R.L., Shastri, L.: Learning phonetic features using connectionist networks. In: Proceedings of IEEE First International Conference on Neural Networks, San Diego, pp. 381–388 (1987)

5. Waibel, A., et al.: Phoneme recognition using time-delay neural networks. IEEE Trans. Acoust. Speech Signal Process. 37(3), 328–339 (1989)

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