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Joint speech/audio coding based scalable perceptual audio coding

2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS), 2014
With the technical evolution of global mobile communications, various heterogeneous communication environments, frequently fluctuant bandwidth and multiform signals put new challenges to coding technology of multimedia signals. Scalable Audio Coding (SAC) can provide smooth transition between different coding qualities, which is an optimal choice for ...
Li Gao, Ruimin Hu, Yuhong Yang 0001
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AVS Generic Audio Coding

Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05), 2005
AVS Audio Coding Standard is the first standard for Hi-Fi audio in China. The framework of AVS Audio was introduced. Many key technologies are described in details, including long/short window switch decision based on energy and unpredictability, integer MDCT for lossless time-frequency transform, square polar stereo coding, and context-dependent ...
Ruimin Hu   +3 more
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Parametric binaural audio coding

2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010
A spatial audio scene consists of discrete audio sources and ambience. The 3D audio image is observed due to the directional sounds, but even more important is the reverberation and so called room effect caused by the properties of the space, the sources and listener location.
Pasi Ojala, Mikko Tammi, Miikka Vilermo
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ISO/MPEG AUDIO CODING

International Journal of High Speed Electronics and Systems, 1997
The Moving Pictures Expert Group within the International Organization of Standardization (ISO/MPEG) has developed, and is presently developing, a series of audiovisual standards. Its audio coding standard MPEG Phase 1 is the first international standard in the field of high quality digital audio compression and has been applied in many areas, both ...
Peter Noll, Davis Pan
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Flexcode - flexible audio coding

2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010
Modern networks are highly variable and, as a result, source coders are commonly used under conditions that they were not designed for. We address this problem with a source-coding philosophy that aims at the instantaneous re-optimization of a source coder to match a wide range of constraints on rate or quality and a wide range of packet-loss rates. We
Janusz Klejsa   +2 more
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Audio coding for conversion to MIDI

Proceedings of First Signal Processing Society Workshop on Multimedia Signal Processing, 2002
We concentrate on the problem of converting audio samples into MIDI data, and describe a technique for processing music signals that attempts to extract note onsets and pitches, for a small class of music signals. Segmentation of the signals is based upon common onsets of tones and their proximity to edges in the signal. Pitch detection is performed by
Nicholas J. Sieger, Ahmed H. Tewfik
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Quantization and psychoacoustic model in audio coding in advanced audio coding

SPIE Proceedings, 2011
This paper presents complete optimized architecture of Advanced Audio Coder quantization with Huffman coding. After that psychoacoustic model theory is presented and few algorithms described: standard Two Loop Search, its modifications, Genetic, Just Noticeable Level Difference, Trellis-Based and its modification: Cascaded Trellis-Based Algorithm.
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Parametric audio coding

WCC 2000 - ICCT 2000. 2000 International Conference on Communication Technology Proceedings (Cat. No.00EX420), 2002
For very low bit rate audio coding applications in mobile communications or on the Internet, parametric audio coding has evolved as a technique complementing the more traditional approaches. These are transform codecs originally designed for achieving CD-like quality on one hand, and specialized speech codecs on the other hand. Both of these techniques
B. Edler, H. Purnhagen
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A modified distortion metric for audio coding

2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009
Current audio coding standards employ the modified discrete cosine transform (MDCT) where overlapped frames of audio are windowed and transformed to the frequency domain. Encoding parameters are chosen so as to minimize a distortion measure subject to a rate constraint.
Vinay Melkote, Kenneth Rose
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