INTRODUCCION A LA PSICOACUSTICA PDF

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Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. DOI: One of the biggest problems of a speech recognition system is the signal degradation due to adverse conditions. Such situations usually lead to mismatch between the test conditions and the training data, caused by non-linear distortion. The authors propose a histogram mapping followed by a filter through neural networks techniques based on the features compensation , in order to minimize the misfit caused by noise insertion in the speech signal.

View on IEEE. Save to Library. Create Alert. Launch Research Feed. Share This Paper. Figures, Tables, and Topics from this paper. Figures and Tables. Citations Publications citing this paper. Thiruvengatanadhan , P. Dhanalakshmi Computer Science Dhanalakshmi , S. References Publications referenced by this paper. Feature extraction for robust speech recognition based on maximizing the sharpness of the power distribution and on power flooring Chanwoo Kim , Richard M.

Neural networks used for speech recognition Wouter J. Gevaert , Georgi T. Tsenov , Valeri Mladenov Computer Science Introduccion a la psicoacustica. Miyara U. Rosario, Argentina Segura , M. Peinado , Antonio J. Young , Jack Jansen , J. Odell , Dg Ollason , Philip C. Woodland Computer Science Related Papers. By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy , Terms of Service , and Dataset License.

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Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. DOI: One of the biggest problems of a speech recognition system is the signal degradation due to adverse conditions. Such situations usually lead to mismatch between the test conditions and the training data, caused by non-linear distortion. The authors propose a histogram mapping followed by a filter through neural networks techniques based on the features compensation , in order to minimize the misfit caused by noise insertion in the speech signal. View on IEEE.

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PNCC features and FNN - MAP compensation techniques for continuous speech recognition

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INTRODUCCION A LA PSICOACUSTICA PDF

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