SIFT Pitch Detector
This MATLAB exercise designs and implements a pitch period detector based on detecting and tracking peaks in the autocorrelation of the LPC error signal during regions of voiced speech. The pitch detection procedure is called the SIFT (Simple Inverse Filtering Tracking) method. The SIFT pitch period detector uses a secondary autocorrelation peak in order to detect and correct pitch period detection errors due to effects such as pitch period doubling and related phenomena.
Zitieren als
Speech Processing (2024). SIFT Pitch Detector (https://www.mathworks.com/matlabcentral/fileexchange/45529-sift-pitch-detector), MATLAB Central File Exchange. Abgerufen.
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- Signal Processing > Signal Processing Toolbox >
- Image Processing and Computer Vision > Computer Vision Toolbox > Feature Detection and Extraction >
- Signal Processing > Audio Toolbox > Simulation, Tuning, and Visualization >
- Image Processing and Computer Vision > Computer Vision Toolbox > Feature Detection and Extraction > Local Feature Extraction > SIFT - Scale Invariant Feature Transform >
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Version | Veröffentlicht | Versionshinweise | |
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1.4.0.0 | Updated to work with post-R2014b graphics |
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1.1.0.0 | code updates; Read_Me.txt setup file; pathnew_matlab_central example |
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1.0.0.0 |