Accoustic Context Recognition using Local Binary Pattern Method and Apparatus

摘要

Various exemplary aspects are directed to acoustic context recognition apparatuses and methods involving isolating and identifying context(s) of an acoustic environment. In one exemplary embodiment, source audio is converted into audio spectrograms, each spectrogram indicative of a period of time. The series of spectrograms are analyzed to identify audio patterns, over a period of time, which are indicative of an environmental context of the source audio. In many embodiments of the present disclosure, acoustic context recognition also includes comparing the identified audio patterns to known environmental contexts.

主权项

1. A method comprising:
receiving an audio signal spectrogram, having adjacent pixels, indicative of an audio input; constructing a plurality of local binary patterns (LBP) based on a comparison of the adjacent pixels of the spectrogram; creating, for each of a plurality of blocks of the spectrogram, a respective LBP histogram that is based on a number of times different LBPs occur in a corresponding block of the plurality of blocks; identifying clusters of LBP histograms from the respective LBP histograms; generating, for each of the clusters, a code word representing a corresponding cluster; creating a codebook histogram based upon correspondence between the LBP histograms and the code words representing the clusters; and classifying, using a machine learning model, the codebook histogram to identify context for the received audio signal spectrogram.