Time-Frequency-Based Speech Regions Characterization and Eigenvalue Decomposition Applied to Speech Watermarking. (15th August 2010)

• Record Type: Journal Article
• Authors: Orović Orović, Irena Irena; Stanković Stanković, Srdjan Srdjan
• Other Names: Mobasseri Mobasseri Bijan Bijan Academic Editor.
• Is Part Of: EURASIP journal on advances in signal processing. Volume 2010(2010)
• Publication Date: 2010-08-15
• Subjects: Signal processing -- Periodicals; Traitement du signal; Signal processing; Periodicals; 621.3822
• DOI: 10.1155/2010/572748
• Languages: English
• ISSNs: 1687-6172

Abstract

Abstract : The eigenvalues decomposition based on the S-method is employed to extract the specific time-frequency characteristics of speech signals. This approach is used to create a flexible speech watermark, shaped according to the time-frequency characteristics of the host signal. Also, the Hermite projection method is applied for characterization of speech regions. Namely, time-frequency regions that contain voiced components are selected for watermarking. The watermark detection is performed in the time-frequency domain as well. The theory is tested on several examples.