[1]
|
LaGasse, L.L., Neal, A.R. and Lester, B.M. (2005) Assessment of infant cry: Acoustic cry analysis and parental perception. Mental Retardation and Developmental Disabilities, 83-93.
|
[2]
|
Michelson, K., Todd de Barra, H. and Michelson, O. (2007) Sound spectrographic cry analysis and mothers perception of their infant’s crying. Nova Science Publishers, New York, 31-64.
|
[3]
|
Singer, L.T. and Zeskind, P.S. (2001) Biobehavioral assessment of the infant. In: Zeskind, P.S. and Lester, B.M., Eds., Analysis of Infant Crying. The Guilford Press, New York, 149-166.
|
[4]
|
Manfredi, C., D’Aniello, M. and Bruscaglioni, P. (1998) Acoustic measure of noise energy in patients having undergone a vocal fold operation. Proceedings of 9th European Signal Processing Conference, EUSIPCO 98, 2, 1141-1144,.
|
[5]
|
Wasz-Hockert, O., Michelsson, K. and Lind, J. (1985) Twenty-five years of Scandinavian cry research in infant crying: Theoretical and research perspectives. Lester, B.M. and Boukydis, C.F.Z., Eds., Plenum Press, New York, 83-104.
|
[6]
|
Kheddache, Y. and Tadj, C. (2013) Frequential characterization of healthy and pathological newborn cries. Submitted.
|
[7]
|
Frazier, R.H., Siamaksamsam, L., Braida, D. and Oppenheim, A.V. (1978) Enhancement of speech by adaptive filtering. Signal Processing, 4, 354.
|
[8]
|
Gerkmann, T. and Hendrik, R.C. (2012) Unbiased MMSE-based noise power estimation with low complexity and low tracking delay. IEEE Transactions on Audio, Speech, and Language Processing, 20, 1383-1393.
doi:10.1109/TASL.2011.2180896
|
[9]
|
Gerkmann, T. and Hendriks, R.C. (2011) Noise power estimation based on the probability of speech presence. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, New Paltz, 16-19 October 2011, 145-148.
|
[10]
|
Kasuya, H., Ogawa, S. and Kikuchi, Y. (1986) An adaptive comb filtering method as applied to acoustic analyses of pathological voice. ICASSP, Tokyo, 669-672.
|
[11]
|
Frazier, R.H. (1975) An adaptive filtering approach to speech enhancement. Massachusetts Institute of Technology. http://hdl.handle.net/10945/20716
|
[12]
|
Hirschberg, J., Dejonckereb, P.H., Hiranoc, M., Moric, K., Schultz-Coulon, H.J. and Vrtickae, K. (1995) Voice disorders in children. International Journal of Pediatric Otorhinolaryngology, 32, 109-125.
doi:10.1016/0165-5876(94)01149-R
|
[13]
|
Hirschberg, J. (1999) Dysphonia in infants. Elsevier Science, Ireland, 293-296.
|
[14]
|
Cecchini, M., Lai, C. and Langher, V. (2010) Dysphonic newborn cries allow prediction of their perceived meaning. Infant Behavior & Development, 33, 314-320.
doi:10.1016/j.infbeh.2010.03.006
|
[15]
|
Lester, B.M. and LaGasse, L.L. (2008) Crying. Elsevier, Amsterdam, 80-90.
|
[16]
|
Markel, J.D. (1972) The SIFT algorithm for fundamental frequency estimation. IEEE Transactions on Audio Electroacoustic, Au-20, 367-377.
|
[17]
|
Lederman, D. (2010) Estimation of infants’ cry fundamental frequency using a modified SIFT algorithm.
arXiv:1009.2796.
|
[18]
|
Kasuya, H., Ogawa, S., Mashima, K. and Ebihara, S. (1986) Normalised noise measure to evaluate the pathological voice. Journal of the Acoustical Society of America, 1329-1334. doi:10.1121/1.394384
|
[19]
|
Manfredi, C., Tocchioni, V. and Bocchi, L. (2006) A robust tool for newborn infant cry analysis. Proceedings of the 28th IEEE, 509-512.
|
[20]
|
Lim, J., Oppenhem, A.V. and Barida, L.D. (1978) Evaluation of an adaptive comb filtering method for enhancing speech degraded by white noise addition. IEEE ASSP, 26, 354-358.
|
[21]
|
Hendriks, R.C., Heusdens, R. and Jensen, J. (2010) MMSE-based noise PSD tracking with low complexity. ICASSP, 4266-4269.
|