Paper
6 September 2022 A comparative study of different filters for speech signals
Jinwen Li
Author Affiliations +
Proceedings Volume 12332, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2022); 123321I (2022) https://doi.org/10.1117/12.2652575
Event: International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2022), 2022, Chengdu, China
Abstract
Speech signal processing is one of the most quickly increasing domains of information science study, as well as a very active and popular research subject with significant academic and practical value. Voice signal processing research is vital to the disciplines of machine language, speech recognition, and speech synthesis, among others. With its strong computer capability, MATLAB software can easily finish the processing of voice signals. MATLAB may be used to analyze digitalized speech signals in the time and frequency domain, display time and frequency domain curves of speech signals, and analyze speech based on its properties. This study evaluates the impact of various filters on speech signal processing to help us better create speech coding, voice recognition, speech synthesis, and other approaches. It is based on a series of characterization and processing of speech signals using MATLAB software.
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Jinwen Li "A comparative study of different filters for speech signals", Proc. SPIE 12332, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2022), 123321I (6 September 2022); https://doi.org/10.1117/12.2652575
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KEYWORDS
Linear filtering

Filtering (signal processing)

Finite impulse response filters

Digital filtering

Infinite impulse response filters

Signal processing

Digital signal processing

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