MPEG Unified Speech and Audio Coding

Quackenbush S. MPEG Unified Speech and Audio Coding. In: AES Conference: 43rd International Conference: Audio for Wirelessly Networked Personal Devices. Audio Engineering Society; 2011. Paper 1-0. Available from: https://aes.org/publications/elibrary-page/?id=16115

@inproceedings{Quackenbush2011_16115,
  author = {Quackenbush, Schuyler},
  title = {{MPEG Unified Speech and Audio Coding}},
  booktitle = {AES Conference: 43rd International Conference: Audio for Wirelessly Networked Personal Devices},
  note = {Paper 1-0},
  year = {2011},
  month = sep,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=16115}
}

TY  - CPAPER
TI  - MPEG Unified Speech and Audio Coding
AU  - Quackenbush, Schuyler
T2  - AES Conference: 43rd International Conference: Audio for Wirelessly Networked Personal Devices
M1  - Paper 1-0
PY  - 2011
DA  - 2011/09/06
UR  - https://aes.org/publications/elibrary-page/?id=16115
PB  - Audio Engineering Society
LA  - en
AB  - Unified Speech and Audio Coding is the newest MPEG audio standard, published in late 2011. It achieves consistently state-of-the-art compression performance for any mix of speech and music content. MPEG-1 and MPEG-2 Layer III and MPEG-4 Advanced Audio Coding (AAC) use perceptually shaped quantization noise as the primary tool for achieving compression; MPEG-4 High-Efficiency AAC adds parametric coding of the upper spectrum region (using the Spectral Band Replication tool); and MPEG-D MPEG Surround adds parametric coding of the sound stage (using level, time and coherence parameters in the time/frequency domain). The common thread in all of these MPEG standards is that they model and exploit how humans perceive sound. MPEG-D Unified Speech and Audio Coding incorporates all of these models of sound perception and additionally incorporates a model of sound production, specifically that of human speech. The paper gives an overview of the architecture of the Unified Speech and Audio Coding algorithm and how the various compression tools operate in response to the instantaneous statistics of arbitrary mixed-content signals. There is a brief description of the tools giving the greatest compression performance and results of subjective listening tests showing the performance of the standard relative to state-of-the-art benchmark coders.
ER  -