Silicon Technologies for Speaker Independent Speech Processing and Recognition Systems in Noisy Environments - PDF

Silicon Technologies for Speaker Independent Speech Processing and Recognition Systems in Noisy Environments
An introduction to the Hidden Markov model based speech Recognition. The advantages and disadvantages of conventional filter bank based feature extraction algorithm with the comparison of the windowed fourier transform method to a parallel linear predictive coding based CMOS implementation.
This is only a PDF preview of first few pages of Silicon Technologies for Speaker Independent Speech Processing and Recognition Systems in Noisy Environments by Karthikeyan Natarajan, Mala John, Arun Selvaraj. Please download the full version to read the complete book.
Note: You must have Adobe Reader or Acrobat Installed to see this Preview
You currently don't have Adobe Reader installed. In order to view this file, please download Adobe Reader from <a href="https://get.adobe.com/reader/" target="_blank">here</a>. Or, if you want to download the PDF file to your computer, please click <a href="https://www.free-ebooks.net/ebook/Silicon-Technologies-for-Speaker-Independent-Speech-Processing-and-Recognition-Systems-in-Noisy-Environments/pdf">here</a>.