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An Algorithm for Determining the Endpoints of Isolated Utterances

Rabiner, L. R., Sambur, M. R.·1975·Bell System Technical Journal

Abstract

An important problem in speech processing is to detect the presence of speech in a background of noise. This problem is often referred to as the endpoint location problem. By accurately detecting the beginning and end of an utterance, the amount of processing of speech data can be kept to a minimum. The algorithm proposed for locating the endpoints of an utterance is based on two measures of the signal, zero crossing rate and energy. The algorithm is inherently capable of performing correctly in any reasonable acoustic environment in which the signal-to-noise ratio is on the order of 30 dB or better. The algorithm has been tested over a variety of recording conditions and for a large number of speakers and has been found to perform well across all tested conditions.

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Metadata

Authors
Rabiner, L. R., & Sambur, M. R.
Venue
Bell System Technical Journal
Published
1975-02
Volume
54
Issue
2
Pages
297-315
ISSN
0005-8580 (ISSN-L)
OpenAlex
W2032474878
Cited by
558
References
0
FWCI
5.86
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: An Algorithm for Determining the Endpoints of Isolated Utterances. https://app.cochat.ai/papers/10.1002/j.1538-7305.1975.tb02840.x
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Rabiner, L. R., & Sambur, M. R. (1975). An Algorithm for Determining the Endpoints of Isolated Utterances. Bell System Technical Journal. https://doi.org/10.1002/j.1538-7305.1975.tb02840.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.