2012Computational intelligenceRequires access

Voice activity detection Algorithm for Speech Recognition Applications

Nitin N Lokhande, Dr.Navnath S Nehe, P. S. Vikhe

Open publisher page 29 citations

Abstract

Determining the beginning and the termination of speech in the presence of background noise is a complicated problem. This paper is concerned with labeling sections of speech samples based on whether they are silence, voiced or unvoiced speech. The labeling is done using calculations over the speech samples; zero crossing and short-term energy functions. The short-term energy and zero crossing rate of speech have been extensively used to detect the endpoints of an utterance. General Terms Speech Recognition, Voice, Unvoice.

About this research paper

What this paper is about

Determining the beginning and the termination of speech in the presence of background noise is a complicated problem. This paper is concerned with labeling sections of speech samples based on whether they are silence, voiced or unvoiced speech. The labeling is done using calculations over the speech samples; zero crossing and short-term energy functions. The short-term energy and zero crossing rate of speech have been extensively used to detect the endpoints of an utterance. General Terms Speech Recognition, Voice, Unvoice.

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OpenAlex reports 29 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Determining the beginning and the termination of speech in the presence of background noise is a complicated problem. This paper is concerned with labeling sections of speech samples based on whether they are silence, voiced or unvoiced speech. The labeling is done using calculations over the speech samples; zero crossing and short-term energy functions. The short-term energy and zero crossing rate of speech have been extensively used to detect the endpoints of an utterance. General Terms Speech Recognition, Voice, Unvoice.

Key concepts: Speech recognition, Voice activity detection, Computer science, Utterance, Term (time), Speech processing, Energy (signal processing), Linear predictive coding

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