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R. G. Bachu, S. Kopparthi, B. Adapa and B. D. Barkana, “Separation of Voiced and Unvoiced Using Zero Crossing Rate and Energy of the Speech Signal,” American Society for Engineering Education (ASEE) Zone Conference Proceedings, 2008, pp. 1-7.

has been cited by the following article:

• TITLE: A New Method of Voiced/Unvoiced Classification Based on Clustering

  AUTHORS: Mojtaba Radmard, Mahdi Hadavi, Mohammad Mahdi Nayebi

  KEYWORDS: Speech, Voiced, Unvoiced, Clustering, Cepstrum, Autocorrelation, Zero crossing

  JOURNAL NAME: Journal of Signal and Information Processing, Vol.2 No.4, November 16, 2011

  ABSTRACT: In this paper, a new method for making v/uv decision is developed which uses a multi-feature v/uv classification algorithm based on the analysis of cepstral peak, zero crossing rate, and autocorrelation function (ACF) peak of short-time segments of the speech signal by using some clustering methods. This v/uv classifier achieved excellent results for identification of voiced and unvoiced segments of speech.