1975/02/01 by L. R. Rabiner, M. R. Sambur · 1 citation
Computer Science · Engineering · #Speech Recognition and Synthesis #Speech and Audio Processing #Structural Health Monitoring Techniques
paper · doi:10.1002/j.1538-7305.1975.tb02840.x
crossref issued 1975/02/01 · crossref published 1975/02/01 · crossref published-print 1975/02/01 · openalex publication_date 1975/02/01 · crossref published-online 2013/07/29 · crossref created 2013/07/29 · crossref deposited 2020/10/14 · openalex created_date 2025/10/10 · crossref indexed 2026/07/30 · openalex updated_date 2026/07/31
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.