Implementation of Faster than Real Time Audio Analysis for Use with Web Audio API: An FFT Case Study

Joglar-Ongay L, Dewey C, Wakefield J. Implementation of Faster than Real Time Audio Analysis for Use with Web Audio API: An FFT Case Study. In: AES Convention 140. Audio Engineering Society; 2016. Paper 242. Available from: https://aes.org/publications/elibrary-page/?id=18146

@inproceedings{JoglarOngay2016_18146,
  author = {Joglar-Ongay, Luis and Dewey, Christopher and Wakefield, Jonathan},
  title = {{Implementation of Faster than Real Time Audio Analysis for Use with Web Audio API: An FFT Case Study}},
  booktitle = {AES Convention 140},
  note = {Paper 242},
  year = {2016},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=18146}
}

TY  - CPAPER
TI  - Implementation of Faster than Real Time Audio Analysis for Use with Web Audio API: An FFT Case Study
AU  - Joglar-Ongay, Luis
AU  - Dewey, Christopher
AU  - Wakefield, Jonathan
T2  - AES Convention 140
M1  - Paper 242
PY  - 2016
DA  - 2016/05/06
UR  - https://aes.org/publications/elibrary-page/?id=18146
PB  - Audio Engineering Society
LA  - en
AB  - There is significant interest in the audio community in developing web-based applications using HTML5 and Web Audio API. Whilst this newly emerging API goes some way to provide offline audio analysis in the web browser it is limited to a relatively basic FFT with fixed Blackman windowing and no overlap facility. Most previously documented solutions to this issue operate in real time. This paper demonstrates how to perform more sophisticated, faster than real time FFT analysis for use within Web Audio applications. It makes use of the Web Audio API and the dsp.js library. Academics and researchers can use this paper as a tutorial to develop similar solutions within their own web based audio applications.
ER  -