A robust model for domain recognition of acoustic communication using Bidirectional LSTM and deep neural network.-Reference-Cited by-同舟云学术

A robust model for domain recognition of acoustic communication using Bidirectional LSTM and deep neural network.

Published:2021-01-11 Issue: Volume: Page:
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Rathor Sandeep,Agrawal Sanket

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-020-05569-0.pdf

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4. Ford L, Tang H, Grondin F, Glass J (2019) A deep residual network for large-scale acoustic scene analysis. Proceedings of the annual conference of the international speech communication association, INTERSPEECH, 2019-Sept, 2568–2572. https://doi.org/https://doi.org/10.21437/Interspeech.2019-2731

5. Garofolo JS, Lamel LF, Fisher WM, Fiscus JG, Pallett DS, Dahlgren NL, Zue V (1993) TIMIT acoustic-phonetic continuous speech corpus. linguistic data consortium, Philadelphia

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