Low-frequency Fourier analysis of speech rhythm | Zendy

Sam Tilsen | Zendy; Keith Johnson | Zendy

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Low-frequency Fourier analysis of speech rhythm

Author(s) -

Sam Tilsen,

Keith Johnson

Publication year - 2008

Publication title -

the journal of the acoustical society of america

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.619

H-Index - 187

eISSN - 1520-8524

pISSN - 0001-4966

DOI - 10.1121/1.2947626

Subject(s) - rhythm , frequency domain , fourier analysis , fourier transform , amplitude , computer science , acoustics , spectral envelope , envelope (radar) , fourier series , speech recognition , time domain , interval (graph theory) , representation (politics) , mathematics , physics , telecommunications , optics , mathematical analysis , radar , combinatorics , computer vision , politics , law , political science

A method for studying speech rhythm is presented, using Fourier analysis of the amplitude envelope of bandpass-filtered speech. Rather than quantifying rhythm with time-domain measurements of interval durations, a frequency-domain representation is used--the rhythm spectrum. This paper describes the method in detail, and discusses approaches to characterizing rhythm with low-frequency spectral information.

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