Multidimensional feature diversity based speech signal acquisition

Author:

Konduru Ashok Kumar,Mazher Iqbal J. L.

Publisher

Springer Science and Business Media LLC

Subject

Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software

Reference39 articles.

1. An, T.-K., & Kim, M.-H. (2010). A new diverse AdaBoost classifier. In 2010 international conference on artificial intelligence and computational intelligence (Vol. 1). IEEE.

2. Anil Kumar, B., & Trinatha Rao, P. (2017). CFDI-SS: Cyclostationary feature detector with inverse covariance matrix based spectrum sensing in Cognitive Radio. In Smart tech conference proceedings.

3. Bar-Am, N. (2014). The structure of scientific revolutions, 50th anniversary. Philosophy of the Social Sciences, 44(5), 688–701.

4. Barker, J., et al. (2018). The fifth’CHiME’speech separation and recognition challenge: Dataset, task and baselines. arXiv preprint arXiv:1803.10609

5. Budati, A. K., & Polipalli, T. R. (2019). Performance analysis of HFDI computing algorithm in intelligent networks. International Journal of Computers and Applications, 41(4), 255–261.

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