Name
Abstract | ||
|---|---|---|
In this paper, a robust perceptual audio hashing system is presented. A model of the human auditory system is used to extract robust features from the outputs of a non-linear filter bank that mimics the human basilar membrane. Experiments on various audio excerpts show that this new ear-based front-end processing provides very effective hash values. The proposed audio hashing system performs very satisfactorily in identification and it turned out very resilient to a large variety of severe audio attacks. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ICASSP.2009.4959858 | ICASSP |
Keywords | DocType | ISSN |
human auditory system,proposed audio,robust audio,robust feature,new ear-based front-end processing,robust perceptual audio,severe audio attack,auditory-based front-end processing,human basilar membrane,various audio excerpt,large variety,effective hash value,hamming distance,hash value,feature extraction,filter bank,niobium,bit error rate,robustness,audio recording,front end,data mining,hamming codes,system performance,audio signal processing | Conference | 1520-6149 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Abderraouf Ben Salem | 1 | 0 | 0.34 |
| Sid-Ahmed Selouani | 2 | 124 | 33.39 |
| habib hamam | 3 | 124 | 23.13 |
| Jean Caelen | 4 | 69 | 16.80 |