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Wideband speech and audio coding
IEEE Communications Magazine, 1993Typical parameters of wideband speech and audio signals, including digitized versions of each, potential applications, and available transmission media, are described. Facts about human auditory perception that are exploited in audio coding and quality measures that play an important role in coder evaluations and designs are reviewed.
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On Integer MDCT for Perceptual Audio Coding
IEEE Transactions on Audio, Speech and Language Processing, 2007In MPEG-4 scalable lossless coding (SLS) which was recently published as an ISO standard in June 2006, the integer modified discrete cosine transform (IntMDCT) was adopted to enable efficient lossless reconstruction. In addition, there is an MDCT filterbank which is inherent to the advanced audio coding (AAC) core that is present in the SLS codec.
Te Li +3 more
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Audio coding with signal adaptive filterbanks
1995 International Conference on Acoustics, Speech, and Signal Processing, 2002In this paper we present a high quality audio coding system based on a novel nonuniform modulated filterbank coupled with time-varying cosine modulated filterbanks in a cascade architecture. The system makes use of psychoacoustic thresholds in a natural way to adapt the resolution of the filterbank to achieve high coding gain on a wide range of signal ...
John P. Princen, James D. Johnston
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2014
Abstract Audio Coding has proliferated as a mainstream enabling digital technology for all types of applications that provide audio and multimedia to consumers using transmission or storage channels with limited capacity. Since its infancies in the eighties and early nineties, the technology behind low bitrate audio coding has developed rapidly until
Jürgen Herre, Sascha Disch
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Abstract Audio Coding has proliferated as a mainstream enabling digital technology for all types of applications that provide audio and multimedia to consumers using transmission or storage channels with limited capacity. Since its infancies in the eighties and early nineties, the technology behind low bitrate audio coding has developed rapidly until
Jürgen Herre, Sascha Disch
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A progressive approach for perceptual audio coding
2000 IEEE International Conference on Multimedia and Expo. ICME2000. Proceedings. Latest Advances in the Fast Changing World of Multimedia (Cat. No.00TH8532), 2002A progressive approach to perceptual audio coding is presented in this paper. In contrast with existing perceptual audio coding schemes where the digital audio signal is encoded at a fixed bit rate, the progressive approach achieves fully embedded audio coding whose bit rate can be controlled dynamically, making it useful in audio networking ...
Ye Shen, Hongmei Ai, C.-C. Jay Kuo
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Lossless audio coding by predictor blending
2013 36th International Conference on Telecommunications and Signal Processing (TSP), 2013In the paper potential bit rate savings obtained when implementing lossless audio coding using predictor blending technique are investigated. Three algorithms are analyzed: the simplest Blend-11, Blend-12, and Blend-13 containing 11, 12, and 13 subpredictors, respectively, and tested on 16 widely used benchmark recordings.
Grzegorz Ulacha, Ryszard Stasinski
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Vectorial Spectral Quantization for Audio Coding
2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, 2006The paper introduces a new coding methodology of the spectral modified discrete cosine transform (MDCT) coefficients of an audio signal. A lattice quantizer is used for each spectral sub-band, having the dimension equal to the size of the respective sub-band.
Adriana Vasilache, Henri Toukomaa
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Audio coding and electronic distribution of music
Second International Conference on Web Delivering of Music, 2002. WEDELMUSIC 2002. Proceedings., 2002Audio coding originally has been developed as a means for making digital radio possible and for distributing audio via phone lines. The most apparent application today is electronic distribution of music via the Internet. While legal services and copy protection methods have been around for seven years, the public attention and the bulk of actual use ...
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Comparison of windowing in speech and audio coding
2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2013Speech and audio coding have during the last decade converged to an increasingly unified technology. This contribution discusses one of the remaining fundamental differences between speech and audio paradigms, namely, windowing of the input signal.
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2015
Typical appearance models of speech and audio signals can be determined from physical models of the human vocal tract and of musical instruments, respectively. These are often expressed as filters excited by a source (source-filter model). The importance of periodic components is related to the harmonic properties of many audio sources; harmonic ...
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Typical appearance models of speech and audio signals can be determined from physical models of the human vocal tract and of musical instruments, respectively. These are often expressed as filters excited by a source (source-filter model). The importance of periodic components is related to the harmonic properties of many audio sources; harmonic ...
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