Digital Audio Applications of Massively Parallel Architectures

Mercuri RT, Keith M, Kline R. Digital Audio Applications of Massively Parallel Architectures. In: AES Convention 87. Audio Engineering Society; 1989.pp. 2838:1-28. Available from: https://aes.org/publications/elibrary-page/?id=5856

@inproceedings{Mercuri1989_5856,
  author = {Mercuri, Rebecca T. and Keith, Michael and Kline, Robert},
  title = {{Digital Audio Applications of Massively Parallel Architectures}},
  booktitle = {AES Convention 87},
  pages = {2838:1-28},
  url = {https://aes.org/publications/elibrary-page/?id=5856},
  year = {1989},
  month = oct,
  publisher = {Audio Engineering Society}
}

TY  - CPAPER
TI  - Digital Audio Applications of Massively Parallel Architectures
AU  - Mercuri, Rebecca T.
AU  - Keith, Michael
AU  - Kline, Robert
T2  - AES Convention 87
SP  - 1
EP  - 28
M1  - Paper 2838
PY  - 1989
DA  - 1989/10/06
UR  - https://aes.org/publications/elibrary-page/?id=5856
PB  - Audio Engineering Society
LA  - en
AB  - In this paper, we will discuss novel uses of parallel processing in the analysis and synthesis of digital sounds. The paper begins with a brief discussion of parallel processing terminology and concepts, and then focuses on two specific areas of application. The first application is digital audio data compression. Two methods will be discussed, one involving a simple pattern-matching algorithm, and one based on frequency-domain analysis using the FFT. The other application is real-time sound production using complex mathematical functions. This technique is used to create a sophisticated extension of the traditional FM synthesis algorithm. The second half of the paper details the implementation of these algorithms on parallel architectures. Software simulations of the algorithms of the algorithms were developed to produce a variety of recorded examples. These experiments demonstrate the feasibility of real-time implementations in cost-effective hardware, such as might be used in next-generation synthesizers and digital audio equipment. The paper concludes with some suggestions of additional application areas for parallel processing in the audio field.
ER  -