Spectral_Smoothing

버전 1.0.0.0 (1.22 MB) 작성자: Lawrence Rabiner
This exercise smooths the log magnitude spectrum of a frame of voiced speech using liftering
다운로드 수: 350
업데이트 날짜: 2015/9/11

라이선스 보기

This MATLAB exercise processes a designated frame of voiced speech from a user specified speech file, using a designated window and calculates the log magnitude spectrum of the STFT of the windowed frame of speech. Next the exercise does LPC analysis of the speech frame using a pth-order predictor and computes the log magnitude spectrum of the LPC polynomial. Finally cepstral analysis is performed with the cepstrum liftered using a low frequency lifter (with lowest retained quefrency specified by the user). The exercise plots the three log magnitude spectrums on a common plot for comparison of the three log magnitude spectrums. The file '3.22 Spectral Smoothing.pdf' provides a User's Guide for this exercise.

인용 양식

Lawrence Rabiner (2024). Spectral_Smoothing (https://www.mathworks.com/matlabcentral/fileexchange/52133-spectral_smoothing), MATLAB Central File Exchange. 검색됨 .

MATLAB 릴리스 호환 정보
개발 환경: R2015a
모든 릴리스와 호환
플랫폼 호환성
Windows macOS Linux
카테고리
Help CenterMATLAB Answers에서 Smoothing and Denoising에 대해 자세히 알아보기

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
버전 게시됨 릴리스 정보
1.0.0.0

Added autolpc from functions_lrr
works on both R2015a and windows 10
added name of User's Guide for this exercise