Tiny DSP: DSP Core, Algorithm Development, and "Device Mastering"

Bentall N, Eastty P, Stott D. Tiny DSP: DSP Core, Algorithm Development, and "Device Mastering". In: AES Conference: UK 23rd Conference: Music Everywhere. Audio Engineering Society; 2008. Paper 19. Available from: https://aes.org/publications/elibrary-page/?id=17307

@inproceedings{Bentall2008_17307,
  author = {Bentall, Nathan and Eastty, Peter and Stott, D.},
  title = {{Tiny DSP: DSP Core, Algorithm Development, and "Device Mastering"}},
  booktitle = {AES Conference: UK 23rd Conference: Music Everywhere},
  note = {Paper 19},
  year = {2008},
  month = apr,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=17307}
}

TY  - CPAPER
TI  - Tiny DSP: DSP Core, Algorithm Development, and "Device Mastering"
AU  - Bentall, Nathan
AU  - Eastty, Peter
AU  - Stott, D.
T2  - AES Conference: UK 23rd Conference: Music Everywhere
M1  - Paper 19
PY  - 2008
DA  - 2008/04/06
UR  - https://aes.org/publications/elibrary-page/?id=17307
PB  - Audio Engineering Society
LA  - en
AB  - Market expectations of small size, low cost and, in many cases, a requirement for very low power create difficult challenges in the electric and acoustic design of consumer devices that include loud speakers such as mobile phones, laptop computers and flat panel displays. Developments in the field of 'sound improvement' algorithms can go a long way to improving the listening experience, often making an attempt at acoustic correction, but even on high ticket-price items, fierce competition results in very high sensitivity to component cost, which can rule out many DSP devices; rapid development is mandatory due to development cost and large variety of new models. A combination of processor design and tool set are described, which simultaneously addresses these issues; an implementation of a commercially available device is described; an example usage is outlined for improvement of a consumer-device; a real time parameter adjustment tool is presented, which enables real-time 'tuning' of developed algorithms to facilitate the ultimate aim: a combination of low cost DSP and algorithm which can be rapidly individually tailored to any given device - a process described here as 'Device Mastering'.
ER  -