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Deepfake Media Forensics: Status and Future Challenges. [PDF]

J Imaging
Amerini I, Barni M, Battiato S, Bestagini P, Boato G, Bruni V, Caldelli R, De Natale F, De Nicola R, Guarnera L, Mandelli S, Majid T, Marcialis GL, Micheletto M, Montibeller A, Orrù G, Ortis A, Perazzo P, Puglisi G, Purnekar N, Salvi D, Tubaro S, Villari M, Vitulano D.   +23 more
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Comparing audio compression using wavelets with other audio compression schemes

Engineering Solutions for the Next Millennium. 1999 IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No.99TH8411), 2003
Speech compression is the technology of converting human speech into an efficient encoded representation that can be decoded to produce a close approximation of the original signal. In this paper, we propose a new algorithm which compresses speech signals using a wavelet compression technique.
E.-B. Fgee, W.J. Phillips, W. Robertson
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Lossy Audio Compression via Compressed Sensing

2010 Data Compression Conference, 2010
We propose a Compressed Sensing application to audio signals and analyze its audio perceptual quality with PEAQ.
Rubem J. V. de Medeiros, Edmar C. Gurjão, Joâo M. de Carvalho   +2 more
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Audio compression using wavelets

IEE Colloquium on Audio and Music Technology: the Challenge of Creative DSP, 1998
This paper outlines the work on audio compression using wavelets which has been carried out at King's College London. It describes the MPEG-audio coding standard, upon which the wavelet codec is based, the wavelets and their use in audio compression, and some improvements which have been made to the codec.
B. Leslie, M. Sandler
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MPEG Audio Compression

2014
In this chapter, we consider the set of tools for audio compression applicable to general audio, such as music, as opposed to specifically speech compression developed under the aegis of the Motion Picture Experts Group, MPEG. Surprisingly, this subject has much to do with psychology, specifically within the field of aural sense perception ...
Ze-Nian Li, Mark S. Drew, Jiangchuan Liu
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Basic Audio Compression Techniques

2014
In this chapter, compression of audio information is reviewed, with special consideration paid to speech compression. To begin with, we recall some of the issues covered in Chap. 6 on digital audio in multimedia. Here, this is combined with techniques that exploit the temporal redundancy present in audio signals.
Ze-Nian Li, Mark S. Drew, Jiangchuan Liu
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Lossy Audio Compression Identification

2018 26th European Signal Processing Conference (EUSIPCO), 2018
We propose a system which can estimate from an audio recording that has previously undergone lossy compression the parameters used for the encoding, and therefore identify the corresponding lossy coding format. The system analyzes the audio signal and searches for the compression parameters and framing conditions which match those used for the encoding.
Bongjun Kim, Zafar Rafii
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Genre classification of compressed audio data

2008 IEEE 10th Workshop on Multimedia Signal Processing, 2008
This paper deals with the musical genre classification problem, starting from a set of features extracted directly from MPEG-1 layer III compressed audio data. The automatic classification of compressed audio signals into a short hierarchy of musical genres is explored. More specifically, three feature sets for representing timbre, rhythmic content and
RIZZI, Antonello, BUCCINO, NICOLA MAURIZIO, PANELLA, Massimo, UNCINI, Aurelio   +3 more
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Digital audio compression system

The Journal of the Acoustical Society of America, 1995
The digitally sampled data is split into a plurality of subbands each covering a different frequency range. The subbands are each individually expanded to normalize the energy in each band and the subbands are converted by FFT to the frequency domain and the magnitude and phase portions are processed by different techniques based on psychoacoustic ...
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