Random projection in dimensionality reduction: applications to image and text data
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
HTIMIT and LLHDB: Speech Corpora for the Study of Handset Transducer Effects
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 2 - Volume 2
Verifier-tuple for audio-forensic to determine speaker environment
MM&Sec '05 Proceedings of the 7th workshop on Multimedia and security
Digital audio forensics: a first practical evaluation on microphone and environment classification
Proceedings of the 9th workshop on Multimedia & security
Detecting digital audio forgeries by checking frame offsets
Proceedings of the 10th ACM workshop on Multimedia and security
Robust Face Recognition via Sparse Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
Decoding by linear programming
IEEE Transactions on Information Theory
Optimizing acoustic features for source cell-phone recognition using speech signals
Proceedings of the first ACM workshop on Information hiding and multimedia security
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Speech signals convey information not only for speakers' identity and the spoken language, but also for the acquisition devices used during their recording. Therefore, it is reasonable to perform acquisition device identification by analyzing the recorded speech signal. To this end, the random spectral features (RSFs) are proposed as an intrinsic fingerprint suitable for device identification. The RSFs are extracted from each speech signal by first averaging its spectrogram along the time axis and then by projecting the resulting mean spectrogram onto a Gaussian random matrix of compatible dimensions. By applying a sparse-representation based classifier to the device RSFs, state-of-the-art identification accuracy of 95.55% has been obtained on a set of 8 telephone handsets, from Lincoln-Labs Handset Database (LLHDB).