Mining knowledge in noisy audio data

Conference · Tue Dec 31 00:00:00 EST 1996

OSTI ID:421282

Czyzewski, A ^[1]

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1. Technical Univ. of Gdansk (Poland)

This paper demonstrates a KDD method applied to audio data analysis, particularly, it presents possibilities which result from replacing traditional methods of analysis and acoustic signal processing by KDD algorithms when restoring audio recordings affected by strong noise.

• OSTI ID: 421282
• Report Number(s): CONF-960830-; TRN: 96:005928-0037
• Resource Relation: Conference: 2. international conference on knowledge discovery and data mining, Portland, OR (United States), 2-4 Aug 1996; Other Information: PBD: 1996; Related Information: Is Part Of Proceedings of the second international conference on knowledge discovery & data mining; Simoudis, E.; Han, J.; Fayyad, U. [eds.]; PB: 405 p.
• Country of Publication: United States
• Language: English

Related Subjects

99 MATHEMATICS
COMPUTERS
INFORMATION SCIENCE
MANAGEMENT
LAW
MISCELLANEOUS
42 ENGINEERING NOT INCLUDED IN OTHER CATEGORIES
RECORDING SYSTEMS
SIGNAL CONDITIONING
DATA BASE MANAGEMENT
KNOWLEDGE BASE
INFORMATION RETRIEVAL
DATA ANALYSIS
NOISE
ALGORITHMS
ARTIFICIAL INTELLIGENCE