2014
DOI: 10.1016/j.specom.2013.11.006
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Infant cry reliability: Acoustic homogeneity of spontaneous cries and pain-induced cries

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Cited by 13 publications
(7 citation statements)
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“…Because of the high within-subject variability [17], the number of different cry samples collected in a study can be used to assess the extent to which obtained results are influenced by a single individual's cry recordings. This shortcoming holds especially for studies with limited numbers of participants and few cry samples for each.…”
Section: 2 Number Of Cry Samples (Sam)mentioning
confidence: 99%
See 1 more Smart Citation
“…Because of the high within-subject variability [17], the number of different cry samples collected in a study can be used to assess the extent to which obtained results are influenced by a single individual's cry recordings. This shortcoming holds especially for studies with limited numbers of participants and few cry samples for each.…”
Section: 2 Number Of Cry Samples (Sam)mentioning
confidence: 99%
“…Likewise, the possibility of achieving a high level of accuracy in identifying deaf children by their cry vocalization was shown in Garcia and Garcia [15] but no differences between the properties of cry of deaf and normal-hearing infants were reported in Várallyay [16]. Different results can be attributed to common interindividual differences in cry vocalizations and, as Etz and colleagues pointed out [17], to a general lack of standardization in the field that precludes researchers from accurately replicating a given study. Specifically, no standardized guidelines exist that researchers can consult to report information about their participants, methods, data collection, and analytic procedures and no standardized datasets exist that can be marshaled to compare the performances of different statistical models to verify which is more effective in identifying cries of infants from a clinical population.…”
Section: Introductionmentioning
confidence: 99%
“…The following parameters have proven to be useful for infant cry classification in previous studies of the authors (Etz et al, 2014): the median as well as lower and upper bounds -represented through the 10th and 90th percentile -of the fundamental frequency and intensity, the first six formants, jitter and shimmer values as well as the relation of phonated and non-phonated parts, number and degree of voice breaks and the cry duration were measured. These acoustic parameters were automatically extracted for each infant cry and were used as input for the training and application of the computational models.…”
Section: Acoustic Analysismentioning
confidence: 99%
“…Likewise, the possibility of achieving a high level of accuracy in identifying deaf children by their cry vocalization was shown in Garcia and Garcia [12], while no differences between cry properties of deaf and normal-hearing infants were found in Várallyay [13]. Differences in obtained results are not only due to the high inter-individual differences of cry vocalization but, as Etz and colleagues pointed out ( [14], there is a general lack of standardization within the field that does not allow researchers to correctly replicate a study. More specifically, there are no standardized guidelines researchers can use to report information about investigated participants, employed methods, collected data, and analysis procedures, nor standardized datasets that can be used to compare the performances of different statistical models.…”
Section: Introductionmentioning
confidence: 98%