Robust identification/fingerprinting of audio signals using spectral flatness features
Juergen Herre, Eric Allamanche, Oliver Hellmuth, Thorsten Kastner · The Journal of the Acoustical Society of America · 2002
Recently, the problem of content-based identification material has received increased attention as an important technique for managing the ever-increasing amount of multimedia assets available to users today. This talk discusses the problem of robust identification of audio signals by comparing them to a known reference (‘‘fingerprint’’) in the feature domain. Desirable properties of the underlying features include robustness with respect to common signal distortions and compactness of representation. A family of suitable features with favorable properties is described and evaluated for their recognition performance. Some applications of signal identification are discussed, including MPEG-7 Audio.