APPARATUS FOR FORGERY DETECTION OF AUDIO FILE
An embodiment of the present invention relates to an apparatus which extracts feature data from an audio file and automatically detects a potentially forged segment using a recording path estimation result based on the feature data. The detection method of the apparatus includes the steps of: receiv...
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Format | Patent |
Language | English Korean |
Published |
10.04.2014
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Abstract | An embodiment of the present invention relates to an apparatus which extracts feature data from an audio file and automatically detects a potentially forged segment using a recording path estimation result based on the feature data. The detection method of the apparatus includes the steps of: receiving an audio signal; dividing the audio signal in frame units of a predetermined length and generating multiple frame unit signals; extracting one of a mel-frequency cepstral Coefficient (MFCC) value, a linear prediction coding (LPC) value, and a perceptual linear prediction (PLP) value of each of the frame unit signals as the feature data; setting a model most similar to the feature data among multiple audio signal recording path models as the estimated recording path of each frame unit signal; and setting the most frequently estimated recording path among the estimated recording paths as the default recording path and detects an unusual segment which is suspected to be forged. [Reference numerals] (AA) Start; (BB) End; (S210) Step of receiving an audio signal; (S220) Step of dividing an audio signal in frame units of a predetermined length and generating frame unit signals; (S230) Step of extracting feature data from each frame unit signal; (S240) Step of estimating each recording path of the frame unit signal and generating an estimated recording path; (S250) Step of detecting an unusual segment based on the estimated recording path |
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AbstractList | An embodiment of the present invention relates to an apparatus which extracts feature data from an audio file and automatically detects a potentially forged segment using a recording path estimation result based on the feature data. The detection method of the apparatus includes the steps of: receiving an audio signal; dividing the audio signal in frame units of a predetermined length and generating multiple frame unit signals; extracting one of a mel-frequency cepstral Coefficient (MFCC) value, a linear prediction coding (LPC) value, and a perceptual linear prediction (PLP) value of each of the frame unit signals as the feature data; setting a model most similar to the feature data among multiple audio signal recording path models as the estimated recording path of each frame unit signal; and setting the most frequently estimated recording path among the estimated recording paths as the default recording path and detects an unusual segment which is suspected to be forged. [Reference numerals] (AA) Start; (BB) End; (S210) Step of receiving an audio signal; (S220) Step of dividing an audio signal in frame units of a predetermined length and generating frame unit signals; (S230) Step of extracting feature data from each frame unit signal; (S240) Step of estimating each recording path of the frame unit signal and generating an estimated recording path; (S250) Step of detecting an unusual segment based on the estimated recording path |
Author | YU, HA JIN KIM, KYUNG WHA BAEK, ROCK SEON |
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Snippet | An embodiment of the present invention relates to an apparatus which extracts feature data from an audio file and automatically detects a potentially forged... |
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SubjectTerms | ACOUSTICS INFORMATION STORAGE INFORMATION STORAGE BASED ON RELATIVE MOVEMENT BETWEEN RECORDCARRIER AND TRANSDUCER MUSICAL INSTRUMENTS PHYSICS SPEECH ANALYSIS OR SYNTHESIS SPEECH OR AUDIO CODING OR DECODING SPEECH OR VOICE PROCESSING SPEECH RECOGNITION |
Title | APPARATUS FOR FORGERY DETECTION OF AUDIO FILE |
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