Semantics with applications: a formal introduction
Semantics with applications: a formal introduction
Computational auditory scene analysis
Computational auditory scene analysis
Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing
Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing
Acoustic Source Location in a Three-Dimensional Space Using Crosspower Spectrum Phase
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97) -Volume 1 - Volume 1
Extracting Context from Environmental Audio
ISWC '98 Proceedings of the 2nd IEEE International Symposium on Wearable Computers
Prediction-driven computational auditory scene analysis
Prediction-driven computational auditory scene analysis
Frame level noise classification in mobile environments
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 01
Hierarchical classification of audio data for archiving and retrieving
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
EURASIP Journal on Applied Signal Processing
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
De-noising by soft-thresholding
IEEE Transactions on Information Theory
Digital audio forensics: a first practical evaluation on microphone and environment classification
Proceedings of the 9th workshop on Multimedia & security
CMS'05 Proceedings of the 9th IFIP TC-6 TC-11 international conference on Communications and Multimedia Security
Semantic fusion for biometric user authentication as multimodal signal processing
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
Automatic telephone handset identification by sparse representation of random spectral features
Proceedings of the on Multimedia and security
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In this paper a new concept for audio classification and analysis is presented to determine the authenticity of the speaker's environment. The overall concept's characteristic is determined through an introduced Verifier-Tuple, which enables a detailed analysis of every kind of media. The purpose, the practise as well as the need of this Verifier-Tuple is anchored in forensics. As we are clarifying in this paper, the Verifier-Tuple can have an essential impact on investigations in accumulating evidence to proof a crime. Within the Verifier-Tuple four different stages are classified, which include distinct syntax and semantic features of information. We demonstrate its application to the medium audio and list concrete features for each stage. Our background is the determination of a speaker's certain equipped, overall environment. This can be for example a train station or an airport with low quality audio devices, or a class room or laboratory with high quality equipment. The Verifier-Tuple provides an indirect channel for a speaker verification. The proposed concept is scalable for other media such as text, image, video or 3d-complexes. As a result we will show the Verifier-Tuple's impact on a new classification of information, especially audio feature extraction and in particular, the verification of the authenticity of information.