Abstract
New signal processing algorithms were introduced to the online service for audio restoration available at the web address: www.youarchive.net. Missing or distorted audio samples are estimated using a specific implementation of the Jannsen interpolation method. The algorithm is based on the autoregressive model (AR) combined with the iterative complementation of signal samples. Since the interpolation algorithm is computationally complex, an implementation which uses parallel computing has been proposed. Many archival and homemade recordings are at the same time clipped and contain wideband noise. To restore those recordings, the algorithm based on the concatenation of signal clipping reduction and spectral expansion was proposed. The clipping reduction algorithm uses interpolation to replace distorted samples with the estimated ones. Next, spectral expansion is performed in order to reduce the overall level of noise. The online service has been extended also with some copyright protection mechanisms. Certain issues related to the audio copyright problem are discussed with regards to low-level music feature vectors embedded as watermarks. Then, algorithmic issues pertaining watermarking techniques are briefly recalled. The architecture of the designed system along with the employed workflow for embedding and extracting the watermark are described. The implementation phase is presented and the experimental results are reported. The chapter is concluded with a presentation of experimental results of application of described algorithmic extensions to the online sound restoration service.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Czyzewski, A., Kostek, B., Kupryjanow, A.: Online sound restoration for digital library applications. In: Intelligent Tools for Building a Scientific Information Platform Studies in Computational Intelligence, pp. 227–242 (2011)
Sony Extended Copy Protection homepage, http://cp.sonybmg.com/xcp/. Accessed 2 May 2013
Venkataramu, R.: Analysis and enhancement of apple’s fairplay digital rights management. A Project Report Presented to the Faculty of the Department of Computer Science San Jose State University. In: Partial Fulfillment of the Requirements for the Degree Master of Science, Computer Science (2007)
Microsoft Windows Media Digital Rights Management homepage, http://www.microsoft.com/windows/windowsmedia/licensing/default.mspx. Accessed 27 May 2013
Janus Patent U.S. Patent No. 7,010,808
Verance homepage, http://www.verance.com/. Accessed 27 May 2013
Cinavia homepage, http://www.cinavia.com/. Accessed 27 May 2013
AWT (2013) Audio Watermarking Toolkit homepage, http://www.coral-interop.org/. Accessed 27 May 2013
Coral Consortium homepage, http://www.coral-interop.org/ Accessed 27 May 2013
Godsill, S., Rayner, P.: Digital Audio Restoration-A Statistical Model-based Approach. Springer, London (1998)
Esquef, P., Biscainho, L.: A double-threshold-based approach to impulsive noise detection in audio signals. In: Proceedings of X European Signal Processing Conference (EUSIPCO) (2000)
Janssen, A., Veldhuis, R., Vries, L.: Adaptive interpolation of discrete-time signals that can be modeled as autoregressive processes. IEEE Trans. Acoust. Speech Signal Process. 34, 317–330 (1986)
Dutoit, T., Marqués, F.: Applied Signal Processing: A Matlab-Based Proof of Concept. Springer, Berlin (2009)
Cichowski, J., Czyżyk, P., Kostek, B., Czyzewski, A.: Low-level music feature vectors embedded as watermarks. In: Intelligent Tools for Building a Scientific Information Platform Studies in Computational Intelligence. pp. 453–473 (2013)
Czyżyk, P., Janusz, C., Czyzewski, A., Bozena, K.: Analysis of impact of lossy audio compression on the robustness of watermark embedded in the DWT domain for non-blind copyright protection. In: Communications in Computer and Information Science, pp. 36–46. Springer, Berlin (2012)
Cichowski J., Czyzewski, A., Bozena, K.: Analysis of impact of audio modifications on the robustness of watermark for non-blind architecture. In: Multimedia Tools and Applications, pp. 1–21. Springer, USA (2013)
Helen, M., Lahti, T.: Query by example methods for audio signals. In: 7th Nordic Signal Processing Symposium. pp. 302–305 (2006)
Lu, L., Saide, F.: Mobile ringtone search through query by humming. In: IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 2157–2160 (2008)
Plewa, M., Kostek, B.: Creating mood dictionary associated with music. In: 132nd Audio Engineering Society Convention, p. 8607. Budapest, Hungary (2012)
RECOMMENDATION ITU-R BS. 1387-1, Method for objective measurements of perceived audio quality. (2001)
OPERATM Voice and Audio Quality Analyzer, http://www.opticom.de/products/opera.html. Accessed 08 April 2013
Lang, A., Dittmann, J., Spring, R., Vielhauer, C.: Audio watermark attacks: from single to profile attacks. In: Proceedings of the 7th Workshop on Multimedia and Security, pp. 39–50 (2005)
Acknowledgments
The research is supported within the project No. SP/I/1/77065/10 entitled: “Creation of universal, open, repository platform for hosting and communication of networked resources of knowledge for science, education and open society of knowledge”, being a part of Strategic Research Programme “Interdisciplinary system of interactive scientific and technical information” funded by the National Centre for Research and Development (NCBiR, Poland).
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Cichowski, J., Kupryjanow, A., Czyżewski, A. (2014). Further Developments of the Online Sound Restoration System for Digital Library Applications. In: Bembenik, R., Skonieczny, Ł., Rybiński, H., Kryszkiewicz, M., Niezgódka, M. (eds) Intelligent Tools for Building a Scientific Information Platform: From Research to Implementation. Studies in Computational Intelligence, vol 541. Springer, Cham. https://doi.org/10.1007/978-3-319-04714-0_14
Download citation
DOI: https://doi.org/10.1007/978-3-319-04714-0_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-04713-3
Online ISBN: 978-3-319-04714-0
eBook Packages: EngineeringEngineering (R0)