Deep learning for spoken language identification: Can we visualize speech signal patterns?
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-019-04468-3.pdf
Reference51 articles.
1. Pan S-T, Lan M-L (2014) An efficient hybrid learning algorithm for neural network-based speech recognition systems on FPGA chip. Neural Comput Appl 24(7–8):1879–1885
2. Mustafa MK, Allen T, Appiah K (2019) A comparative review of dynamic neural networks and hidden Markov model methods for mobile on-device speech recognition. Neural Comput Appl 31(2):891–899
3. Jun S, Kim M, Oh M, Park H-M (2013) Robust speech recognition based on independent vector analysis using harmonic frequency dependency. Neural Comput Appl 22(7–8):1321–1327
4. Dua M, Aggarwal R, Biswas M (2018) Discriminatively trained continuous Hindi speech recognition system using interpolated recurrent neural network language modeling. Neural Comput Appl. https://doi.org/10.1007/s00521-018-3499-9
5. Dudley WH (1939) The vocoder. Bell Labs Rec 18:122
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