Matlab-Based Speech Signal Design and Processing

The specific content of this design revolves around speech signal processing utilizing MATLAB, with the Discrete Fourier Transform (DFT) as its cornerstone algorithm. DFT facilitates the discretization of signals in both the digital and frequency domains, enabling the manipulation of discrete signals by general-purpose computers. Subsequently, noise signals are introduced, and appropriate filters are employed to suppress these noises, translating digital signal processing theories into practical applications. This project bridges the gap between theoretical knowledge and real-world usage, demonstrating the efficacy of DFT in enhancing signal quality.

Authors

Publication Details

Published
2024-09-27
DOI
https://doi.org/10.1109/iciscae62304.2024.10761893
Primary Topic
Speech and Audio Processing
Type
article
Field-Weighted Citation Impact
0.00
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article

Matlab-Based Speech Signal Design and Processing

Guotao Chen
Speech and Audio Processing
article

Matlab-Based Speech Signal Design and Processing

Guotao Chen
article en

Abstract

The specific content of this design revolves around speech signal processing utilizing MATLAB, with the Discrete Fourier Transform (DFT) as its cornerstone algorithm. DFT facilitates the discretization of signals in both the digital and frequency domains, enabling the manipulation of discrete signals by general-purpose computers. Subsequently, noise signals are introduced, and appropriate filters are employed to suppress these noises, translating digital signal processing theories into practical applications. This project bridges the gap between theoretical knowledge and real-world usage, demonstrating the efficacy of DFT in enhancing signal quality.

Openalex Percentile: Top 76%
Speech and Audio Processing
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Matlab-Based Speech Signal Design and Processing — Guotao Chen · (2024) | TGRS Research Map | TGRS