Time-Scale Invariant Audio Data Embedding

The Cyclic Beat Spectrum: Tempo-Related Audio Features for Time-Scale Invariant Audio Identification

In this paper, we present a novel set of tempo-related audio features for applications in audio retrieval. As opposed to existing feature sets commonly used in the retrieval domain which mainly focus on local spectral characteristics of the audio signal, our features capture its local temporal behaviour w.r.t. tempo, rhythm, and meter. As a key component to obtaining a high level of feature rob...

Audio Time-Scale Modification

Time-Scale Invariant Audio Watermarking Based on the Statistical Features in Time Domain

In audio watermarking, the robustness to desynchronization attacks such as TSM (Time-Scale Modification) operations, is still an open issue. In this paper, both mathematical proof and experimental testing show that the histogram shape (represented as the relative relation in the number of samples among three different histogram bins) and the audio mean are two robust features to the TSM attacks...

Efficient large scale commute time embedding

Commute time embedding involves computing eigenfunctions of the graph Laplacian matrix. Spectral decomposition requires computational burden proportional to 3 ( ) O n , which may not be suitable for large scale dataset. This paper proposes computationally efficient commute time embedding by applying Nyström method to the normalized graph Laplacian. The performance of the proposed algorithms is ...

A Modified Multicarrier Modulation Binary Data Embedding in Audio File

Information hiding of data in an audio file is an important thing that the media can be recognized by its ownership. The hidden information would be the important information which describes the copyright of the audio file. In this research, the binary data is inserted or hidden into the audio file by multicarrier modulation technique data hiding. The encoded binary data is modulated by multica...