Abstract
The study of natural acoustic signaling in animals frequently raises questions about the distinctive, or functionally significant, features of the sounds being examined. Such questions have been approached using a variety of methods, but necessarily include acoustic analysis of the signals themselves. Historically, these analyses relied heavily on the analog sound spectrograph (also frequently called the sonagraph or sonography after the Kay Elemetrics Corporation’s trademark name, “Sonagraph”). Sound spectrography provides a visible record of the frequency components of an acoustic waveform and had been eagerly anticipated by speech researchers for some time before the requisite technology actually became available shortly after the end of the World War II (see, for example, Koenig et al. 1946; Cooper 1950; Fant 1960; Nearey 1978). This instrument subsequently served as a primary analysis tool for phoneticians and others over a number of years.
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Owren, M.J., Bernacki, R.H. (1998). Applying Linear Predictive Coding (LPC) to Frequency-spectrum Analysis of Animal Acoustic Signals. In: Hopp, S.L., Owren, M.J., Evans, C.S. (eds) Animal Acoustic Communication. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-76220-8_5
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DOI: https://doi.org/10.1007/978-3-642-76220-8_5
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