This MATLAB exercise builds an LPC vocoder, i.e., performs LPC analysis and synthesis on a speech file, resulting in a synthetic speech approximation to the original speech. The LPC analysis uses a standard autocorrelation analysis to determine the sets of LPC coefficients, on a frame-by-frame basis, along with the frame-based gain. An independent analysis method (a cepstral pitch period detector) classifies each frame of speech as being either voiced speech (with period determined by the location of the cepstral peak in a designated range of pitch periods) or unvoiced speech (simulated by a random noise frame) with a frame pitch period of 0 samples. The independent analysis provides a two-state excitation function for the LPC synthesis part of the processing, consisting of a series of pitch pulses (during voiced frames) and/or noise sequences (during unvoiced frames). The file '5.13 LPC Vocoder.pdf' provides a User's Guide for this exercise.
引用
Lawrence Rabiner (2024). LPC_Vocoder (https://www.mathworks.com/matlabcentral/fileexchange/52114-lpc_vocoder), MATLAB Central File Exchange. 取得済み .
MATLAB リリースの互換性
プラットフォームの互換性
Windows macOS Linuxカテゴリ
- Signal Processing > Signal Processing Toolbox > Transforms, Correlation, and Modeling > Signal Modeling >
- Signal Processing > Signal Processing Toolbox > Transforms, Correlation, and Modeling > Transforms > Cepstral Analysis >
タグ
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!バージョン | 公開済み | リリース ノート | |
---|---|---|---|
1.0.0.0 |
rev1
|