Phoneme recognition using zerocrossing interval distribution of speech patterns and ANN

Author:

Sunil Kumar R. K.,Lajish V. L.

Publisher

Springer Science and Business Media LLC

Subject

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

Reference21 articles.

1. Arai, T., & Yoshida, Y. (1990). Study on zerocrossing of speech signals by means of analytic signal. Journal of Acoustical Society of Japan, 692, 242–246.

2. Bui, N. C., Jmonbaron, J., & Michel, J. G. (1983). An integrated voice recognition system. IEEE Transactions on Acoustics, Speech, and Signal Processing, ASSP-31, 323–328.

3. Chandrasekhar, C. (1996). Neural network models for recognition of stop consonant vowel(scv) segments in continuous speech. PhD thesis, Department of Computer Science and Engg, IIT, Madras, India.

4. Chandrasekhar, C., & Yegnanarayana, B. (1996). Recognition of stop–consonant–vowel (SCV) segments in continuous speech using neural network models. Journal of Institution of Electronics and Telecommunication Engineers, 42, 269–280.

5. Cristi, R. (2007). Modern digital signal processing. Washington: Thomson Brooks/Cole.

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