WIPO: Inventor in California Develops Neural Network Classifier
Copyright © Targeted News Service 2008
2008-11-29
GENEVA, Nov. 29 - Dmitri V. Shmunk of Novosibirsk, Russia, has developed a neural network classifier.
According to an abstract posted by the World Intellectual Property Organization, in the present invention a "neural network classifier provides the ability to separate and categorize multiple arbitrary and previously unknown audio sources down-mixed to a single monophonic audio signal. This is accomplished by breaking the monophonic audio signal into baseline frames (possibly ov . . .
According to an abstract posted by the World Intellectual Property Organization, in the present invention a "neural network classifier provides the ability to separate and categorize multiple arbitrary and previously unknown audio sources down-mixed to a single monophonic audio signal. This is accomplished by breaking the monophonic audio signal into baseline frames (possibly ov . . .