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Systems and methods for automatic determination of infant cry and discrimination of cry from fussiness

  • US 10,529,357 B2
  • Filed: 12/07/2018
  • Issued: 01/07/2020
  • Est. Priority Date: 12/07/2017
  • Status: Active Grant
First Claim
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1. A system comprising:

  • one or more processors; and

    one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform;

    receiving one or more datasets of audio data of a key child captured in a natural sound environment of the key child;

    segmenting each of the one or more datasets of audio data to create audio segments, the audio segments comprising cry-related segments and non-cry segments;

    determining periods of the cry-related segments that satisfy one or more threshold non-sparsity criteria; and

    performing a classification on the periods to classify each of the periods as either a cry period or a fussiness period,wherein;

    performing the classification on the periods comprises;

    applying a binary logistic regression model on features of the periods; and

    the features of the periods used in the binary logistic regression model comprise;

    a slope of the period;

    a median decibel sound pressure level of the period;

    a total number of the periods of the cry-related segments, including (a) the periods of the cry-related segments that satisfy the one or more threshold non-sparsity criteria and (b) the periods of the cry-related segments that do not satisfy the one or more threshold non-sparsity criteria;

    an age of the key child; and

    a gender of the key child.

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