Title :
A robust and accurate cross-correlation-based fundamental frequency (F0) determination method for the improved analysis of infant cries
Author :
Petroni, M. ; Malowany, A.S. ; Johnston, C.C. ; Stevens, B.J.
Author_Institution :
Dept. of Electr. Eng., McGill Univ., Montreal, Que., Canada
Abstract :
The extraction and analysis of the fundamental frequency (F0 ) of infant vocalizations has been the focus of a number of efforts over the past thirty years. It is thought that this parameter is an important information channel from which information regarding the state of an infant can be determined. To date, research groups working to extract the vocal fundamental frequency of infant cries have been limited in the resolution and granularity of the F0 extraction methods used for adult speech, which, typically are not well suited for infant cries. In general, the fundamental frequency range of adult speech is limited to values below 600 Hz, whereas for infant cries, F0 can have a range of several kilo hertz, and be subject to rapid changes in certain cases. This paper presents a new method for accurately determining the F0 of infant cries, which should be applicable to other vocalizations as well. The method presented uses the crosscorrelation of adjacent speech segments to generate a three-dimensional plot called a crosscorrelogram. From this plot, the fundamental frequency of an infant cry can easily be extracted, with increased precision
Keywords :
acoustic correlation; feature extraction; frequency measurement; medical signal processing; speech processing; 600 Hz; adjacent speech segments; adult speech; cross-correlation-based fundamental frequency determination method; granularity; infant cries analysis; resolution; three-dimensional plot; vocal fundamental frequency; Computer integrated manufacturing; Data mining; Frequency; Machine intelligence; Medical services; Performance analysis; Robustness; Spectrogram; Speech analysis; Visualization;
Conference_Titel :
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2475-7
DOI :
10.1109/IEMBS.1995.579388