Automatic Recognition System of Infant Cry based on F-Transform
نویسندگان
چکیده
منابع مشابه
Automatic Recognition System of Infant Cry based on F-Transform
A new approach has been proposed to design of an automatic infant cry recognition system based on the fuzzy transform (F-transform) that classifies two different kinds of cries, which come from physiological status and medical disease. Feature extraction and development of classification algorithms play an important role in the area of automatic analysis of infant cry signals. F-transform is th...
متن کاملAutomatic Recognition System of Infant Cry based on F-Transform
A new approach has been proposed to design of an automatic infant cry recognition system based on the fuzzy transform (F-transform) that classifies two different kinds of cries, which come from physiological status and medical disease. Feature extraction and development of classification algorithms play an important role in the area of automatic analysis of infant cry signals. F-transform is th...
متن کاملA Hybrid System for Automatic Infant Cry Recognition I
Crying in babies is a primary communication function, governed directly by the brain; any alteration on the normal functioning of the babies’ body is reflected in the cry (Wasz-Höckert, et al, 1968). Based on the information contained in the cry’s wave, the infant’s physical state can be determined; and even pathologies in very early stages of life detected (Wasz-Höckert, et al, 1970). To perfo...
متن کاملA Hybrid System for Automatic Infant Cry Recognition II
Automatic Infant Cry Recognition (AICR) process is basically a problem of pattern processing, very similar to the Automatic Speech Recognition (ASR) process (Huang, Acero, Hon, 2001). In AICR first we perform acoustical analysis, where the crying signal is analyzed to extract the more important acoustical features, like; LPC, MFCC, etc. (Cano, Escobedo and Coello, 1999). The obtained characteri...
متن کاملAutomatic infant cry detection
cry detection can be defined as a procedure where the voiced crying sounds are selected from the recording. the most difficult part of the cry detection is to recognize the inspiratory sounds and separate them from the voiced sounds. in addition, sound recordings may come from different places and recorded with several devices, in this way the method of the cry detection has to be universal. au...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2014
ISSN: 0975-8887
DOI: 10.5120/17869-8800