Enhanced classification using training data refinement and classifier updating
OwnerIsao Otsuka, Regunathan Radhakrishnan +1inventors
InventorsIsao Otsuka, Regunathan Radhakrishnan, Ajay Divakaran
Life of this patent
Estimating the term…
Abstract
A method refines labeled training data audio classification of multimedia content. A first set of audio classifiers is trained using labeled audio frames of a training data set having labels corresponding to a set of audio features. Each audio frame of the labeled training data set is classified using the first set of audio classifiers to produce a refined training data set. A second set of audio classifiers is obtained using audio frames of the refined training data set, and highlights are extracted from unlabeled audio frames using the second set of audio classifiers.
Claims13
A method for refining a training data set for audio classifiers used to classify multimedia content, comprising:
- training a first set of audio classifiers using labeled audio frames of a training data set, in which labels of the training data set correspond to a set of audio features;
- and
- classifying each audio frame of the labeled training data set using the first set of audio classifiers to produce a refined training data set.
A method for classifying data, comprising:
- training a set of first classifiers using a training data set;
- classifying the training data set using the first set of classifiers to produce a refined training data set;
- training a second set of classifiers using the refined training data set;
- and
- classifying the unlabeled data using the second set of classifiers.
Dependencies are inferred from the claim text.