Some Commonly Used Speech Feature Extraction Algorithms-Reference-Cited by-同舟云学术

Some Commonly Used Speech Feature Extraction Algorithms

Published:2018-12-12 Issue: Volume: Page:
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Container-title:From Natural to Artificial Intelligence - Algorithms and Applications
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Author:

Ajibola Alim Sabur,Khair Alang Rashid Nahrul

Publisher

IntechOpen

Link

http://www.intechopen.com/download/pdf/63970

Reference54 articles.

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2. Manjula GN, Kumar MS. Stuttered speech recognition for robotic control. International Journal of Engineering and Innovative Technology (IJEIT). 2014;3(12):174-177

3. Duffy JR. Motor speech disorders: Clues to neurologic diagnosis. In: Parkinson’s Disease and Movement Disorders. Totowa, NJ: Humana Press; 2000. pp. 35-53

4. Kurzekar PK, Deshmukh RR, Waghmare VB, Shrishrimal PP. A comparative study of feature extraction techniques for speech recognition system. International Journal of Innovative Research in Science, Engineering and Technology. 2014;3(12):18006-18016

5. Ahmad AM, Ismail S, Samaon DF. Recurrent neural network with backpropagation through time for speech recognition. In: IEEE International Symposium on Communications and Information Technology (ISCIT 2004). Vol. 1. Sapporo, Japan: IEEE; 2004. pp. 98-102

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