Computer Science – Sound
Scientific paper
2010-09-14
Computer Science
Sound
Scientific paper
This paper addresses the problem of infants' cry fundamental frequency estimation. The fundamental frequency is estimated using a modified simple inverse filtering tracking (SIFT) algorithm. The performance of the modified SIFT is studied using a real database of infants' cry. It is shown that the algorithm is capable of overcoming the problem of under-estimation and over-estimation of the cry fundamental frequency, with an estimation accuracy of 6.15% and 3.75%, for hyperphonated and phonated cry segments, respectively. Some typical examples of the fundamental frequency contour in typical cases of pathological and healthy cry signals are presented and discussed.
No associations
LandOfFree
Estimation of Infants' Cry Fundamental Frequency using a Modified SIFT algorithm does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Estimation of Infants' Cry Fundamental Frequency using a Modified SIFT algorithm, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Estimation of Infants' Cry Fundamental Frequency using a Modified SIFT algorithm will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-76533