2010•Unpublished venueRequires access

A Summarize of Pitch Detection Algorithmic in Speech Signals Processing

Chen Yong-li

Open publisher page 3 citations

Abstract

Pitch detection is a basic topic in speech signals processing. Through many years’ research, there is yet a satisfied technology in terms of accuracy and robust. When the speech is clean, most of the pitch detection algorithms are fine, but many technologies are not satisfied when the speech mixed with noise or the speech is a mixture of multi-speech. This paper introduces some mainstream pitch detection algorithms, and discusses the improvement of these algorithms.

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What this paper is about

Pitch detection is a basic topic in speech signals processing. Through many years’ research, there is yet a satisfied technology in terms of accuracy and robust. When the speech is clean, most of the pitch detection algorithms are fine, but many technologies are not satisfied when the speech mixed with noise or the speech is a mixture of multi-speech. This paper introduces some mainstream pitch detection algorithms, and discusses the improvement of these algorithms.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Pitch detection is a basic topic in speech signals processing. Through many years’ research, there is yet a satisfied technology in terms of accuracy and robust. When the speech is clean, most of the pitch detection algorithms are fine, but many technologies are not satisfied when the speech mixed with noise or the speech is a mixture of multi-speech. This paper introduces some mainstream pitch detection algorithms, and discusses the improvement of these algorithms.

Key concepts: Pitch detection algorithm, Computer science, Speech recognition, Speech processing, Voice activity detection, Speech enhancement, Noise (video), Signal processing

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