TIMIT and NTIMIT Phone Recognition Using Convolutional Neural Networks

Author:

Glackin Cornelius,Wall Julie,Chollet Gérard,Dugan Nazim,Cannings Nigel

Publisher

Springer International Publishing

Reference20 articles.

1. Hannun, A., et al.: Deep speech: scaling up end-to-end speech recognition. arXiv preprint arXiv:1412.5567 (2014)

2. Glackin, C., Wall, J., Chollet, G., Dugan, N., Cannings, N.: Convolutional neural networks for phoneme recognition. In: 7th International Conference on Pattern Recognition Applications and Methods (ICPRAM) (2018)

3. Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. In: Advances Neural Information Processing System (NIPS), pp. 1097–1105 (2012)

4. Shamma, S.: On the role of space and time in auditory processing. Trends Cogn. Sci. 5(8), 340–348 (2001)

5. Paulin, M.G.: A method for analysing neural computation using receptive fields in state space. Neural Netw. 11(7), 1219–1228 (1998)

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1. Phonetic Error Analysis Beyond Phone Error Rate;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2023

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