References

Lakra, S., T.V. Prasad and G. Ramakrishna, 2015. A novel approach for simultaneous gender and hindi vowel recognition using a multiple-input multiple-output co-active neuro-fuzzy inference system. J. Theor. Appl. Inf. Technol., 79: 101-114.
Direct Link  |  

Lakra, S., T.V. Prasad and G. Ramakrishna, 2015. Selective noise filtering of speech signals using an adaptive neuro-fuzzy inference system as a frequency pre-classifier. J. Theor. Appl. Inf. Technol., 81: 496-501.
Direct Link  |  

Lakra, S., T.V. Prasad and G. Ramakrishna, 2015. Using fuzzy sets to model paralinguistic content in speech as a generic solution for current problems in speech recognition and speech synthesis. J. Theor. Appl. Inf. Technol., 78: 441-446.
Direct Link  |  

Prasad, T.V., S. Lakra and G. Ramakrishna, 2012. Applicability of crisp and fuzzy logic in intelligent response generation. Proceedings of the National Conference on Information, Computational Technologies and e-Governance (NCICTG) 2010, November 19-20, 2010, LIET, Alwar, Rajasthan, India, pp: 137-139.