Open AccessProceedings Article
A Database of Infant Cry Sounds to Study the Likely Cause of Cry
Shivam Sharma,Shubham Asthana,Vinay Kumar Mittal +2 more
- pp 112-117
TLDR
An ‘Infant Cry Sounds Database’ (ICSD), collected especially for the study of likely cause of an infant’s cry, consists of infant cry sounds due to six causes: pain, discomfort, emotional need, ailment, environmental factors and hunger/thirst.Abstract:
Infant cry is a mode of communication, for interacting and drawing attention. The infants cry due to physiological, emotional or some ailment reasons. Cry involves high pitch changes in the signal. In this paper we describe an ‘Infant Cry Sounds Database’ (ICSD), collected especially for the study of likely cause of an infant’s cry. The database consists of infant cry sounds due to six causes: pain, discomfort, emotional need, ailment, environmental factors and hunger/thirst. The ground truth cause of cry is established with the help of two medical experts and parents of the infants. Preliminary analysis is carried out using the sound production features, the instantaneous fundamental frequency and frame energy derived from the cry acoustic signal, using auto correlation and linear prediction (LP) analysis. Spectrograms give the base reference. The infant cry sounds due to pain and discomfort are distinguished. The database should be helpful towards automated diagnosis of the causes of infant cry.read more
Citations
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Discriminating features of infant cry acoustic signal for automated detection of cause of crying
TL;DR: Larger fluctuations in the features F0, SoE and E are observed for infant cry due to pain, than due to discomfort, and features that may help towards developing automated diagnostic systems are explored.
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Are Cry Studies Replicable? An Analysis of Participants, Procedures, and Methods Adopted and Reported in Studies of Infant Cries
TL;DR: In this paper, the authors present a set of criteria to report experimental studies to ensure the validity of their methods and results, including participant information, data collection, methods, and data analysis.
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Discriminating the Infant Cry Sounds Due to Pain vs. Discomfort Towards Assisted Clinical Diagnosis
TL;DR: The excitation source features F0 and strength of excitation (SoE) are derived using a recently proposed modified zerofrequency filtering method and can help in developing further the clinical assistive technologies for discriminating different infant cry types and initiating the remedial measures automatically.
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Classifying musical instruments using speech signal processing methods
TL;DR: Among the features used, after MFCC, ZCR proved to be the optimal feature for the classification of drum instrument, and the most significant feature for classifying Guitar, Violin and Drum is MFCC as it gives the better accurate results.
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The effect of music on the human mind: A study using brainwaves and binaural beats
TL;DR: In this article, the effect of music on the states of human mind is examined by observing the changes in the alpha and beta brainwaves patterns, which are compared for attention and meditation states.
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