Speech Analysis using LPC
This GUI is used to analyze the speech signal at the selected region of 256 samples. All the calculation is based on the sampling of 8 KHz. First 3 formants of the selected block of samples are derived from the LPC-8 coefficients.
The location of the ROI could be either pointer one or two.
This demo uses the "dualcursor" developed by Scott Hirsch for the interactive signal selection. Only p-file for the "dualcursor" is provided here and the source code could be downloaded from the MATLAB central.
For more information on this example:
http://basic-programming.blogspot.com
Citar como
Tan Chin Luh (2024). Speech Analysis using LPC (https://www.mathworks.com/matlabcentral/fileexchange/8779-speech-analysis-using-lpc), MATLAB Central File Exchange. Recuperado .
Compatibilidad con la versión de MATLAB
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Windows macOS LinuxCategorías
- Signal Processing > Signal Processing Toolbox > Transforms, Correlation, and Modeling > Signal Modeling >
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Inspirado por: dualcursor
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Versión | Publicado | Notas de la versión | |
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1.0.0.0 | Add link for more information |