2020Unpublished venueRequires access

Research Progress in Speech Enhancement Technology

Yihan Wang

Open publisher page 2 citations

Abstract

The way to abstract original, pure speech signals from noisy speech signals has always been the research priority of the speech enhancement technology. Traditional approaches to handle speech signals face many restrictions and disadvantages, which lead to non-ideal speech enhancement effects. With the development of AI, DNN speech signal processing not only enhances speech signals better but also the hotspot of researching the speech enhancement technology. This paper introduces the research progress made in the speech enhancement technology through traditional methods and AI algorithms.

About this research paper

What this paper is about

The way to abstract original, pure speech signals from noisy speech signals has always been the research priority of the speech enhancement technology. Traditional approaches to handle speech signals face many restrictions and disadvantages, which lead to non-ideal speech enhancement effects. With the development of AI, DNN speech signal processing not only enhances speech signals better but also the hotspot of researching the speech enhancement technology. This paper introduces the research progress made in the speech enhancement technology through traditional methods and AI algorithms.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The way to abstract original, pure speech signals from noisy speech signals has always been the research priority of the speech enhancement technology. Traditional approaches to handle speech signals face many restrictions and disadvantages, which lead to non-ideal speech enhancement effects. With the development of AI, DNN speech signal processing not only enhances speech signals better but also the hotspot of researching the speech enhancement technology. This paper introduces the research progress made in the speech enhancement technology through traditional methods and AI algorithms.

Key concepts: Speech enhancement, Computer science, Speech processing, Speech recognition, Voice activity detection, Speech technology, Speech coding, Linear predictive coding

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