AUDIO CLASSIFICATION BY COMPARISON OF FEATURE SECTIONS AND INTEGRATED FEATURES TO KNOWN REFERENCES

Patent №

US 8,892,497

Granted

2014-11-18

Filed 2012

Owner

PANASONIC CORPORATION

Lab

AI components

3

nlp · vision · speech

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13382362

To classify moving images using audio signals. An audio signal is acquired, a section feature relating to an audio frequency distribution is extracted with respect to each of a plurality of sections each having a predetermined length contained in the acquired audio signal, each extracted section feature is compared with each of reference section features to calculate a section similarity indicating a degree of correlation between each section feature and each reference section feature. An integrated feature relating to the plurality of sections and being calculated based on the section similarity calculated with respect to each of the plurality of sections is extracted from the acquired audio signal. The extracted integrated feature is compared with each of one or more reference integrated features, and the audio signal is classified based on comparison result. Then, classification result is used for moving image classification.

Natural languageVisionSpeechG10L 25/48G06N 5/04G06Q 10/10G06N 20/00

AI classification

Speech1.00
Vision0.99
Natural language0.95
Knowledge representation0.30
Machine learning0.27
AI hardware0.22
Planning0.00
Evolutionary computation0.00

Ownership

PANASONIC CORPORATION

assignment · 279220760

Assignors

KONUMA, TOMOHIRO, ISHIDA, AKIRA

On an employer assignment, the assignors are typically the inventors.

From the same owner

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