1. In an environment supporting improved identification of irregular patterns of sound in sound data, a method implemented by a computing device, the method comprising: converting, by the computing device, a matrix representation of the sound data into a plurality of sound data vectors as part of a vectorized landmark space, each sound data vector of the plurality of sound data vectors having data points that include a frequency coordinate, a time coordinate, and an energy value; generating, by the computing device, a temporal structure for the sound data by grouping subsets of the plurality of sound data vectors; obtaining, by the computing device and based on the temporal structure, a representation of a pattern of sound as at least one pattern vector that is described using data points that include a frequency coordinate, a time coordinate, and an energy value; convolving, by the computing device, the frequency coordinate or the time coordinate of a sound data vector of the plurality of sound data vectors or the frequency coordinate or the time coordinate of the at least one pattern vector; identifying, by the computing device, whether the sound data includes irregularly positioned data points that correspond to the pattern of sound using the convolved sound data vector or the at least one convolved pattern vector; and displaying, by the computing device, a result of the identifying in a user interface, the displayable result illustrating the irregularly positioned data points that correspond to the pattern of sound.