Radial Basis Function Neural Network Based Speech Enhancement System Using SLANTLET Transform Through Hybrid Vector Wiener Filter

Author:

Balaji V. R.,Sathiya Priya J.,Dinesh Kumar J. R.,Karthi S. P.

Publisher

Springer Singapore

Reference20 articles.

1. Le Roux J, Vincent E, Erdogan H (2016) Learning-based approaches to speech enhancement and separation. In: INTERSPEECH tutorials

2. Williamson DS, Wang Y, Wang DL (2016) Complex ratio masking for monaural speech separation. IEEE/ACM Trans Audio Speech Lang Process 24:483–492

3. Balaji VR (2018) A comparison of compression sensing algorithm and DUET algorithm for advanced DCT based speech enhancement system for vehicular noise. Int J Pure Appl Mathematics 119(12):1385–1394

4. Mirsamadi S, Tashev I (2016, May) A causal speech enhancement approach combining data-driven learning and suppression rule estimation. In: Proceedings of inter speech

5. Li Y, Kang S (2017) Deep neural network-based linear predictive parameter estimations for speech enhancement. IET Signal Process 11(4):469–476

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