Realistic Procedural Sound Synthesis of Bird Song Using Particle Swarm Optimization

Zúñiga J, Reiss JD. Realistic Procedural Sound Synthesis of Bird Song Using Particle Swarm Optimization. In: AES Convention 147. Audio Engineering Society; 2019. Paper 555. Available from: https://aes.org/publications/elibrary-page/?id=20578

@inproceedings{Zuniga2019_20578,
  author = {Zúñiga, Jorge and Reiss, Joshua D.},
  title = {{Realistic Procedural Sound Synthesis of Bird Song Using Particle Swarm Optimization}},
  booktitle = {AES Convention 147},
  note = {Paper 555},
  year = {2019},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=20578}
}

TY  - CPAPER
TI  - Realistic Procedural Sound Synthesis of Bird Song Using Particle Swarm Optimization
AU  - Zúñiga, Jorge
AU  - Reiss, Joshua D.
T2  - AES Convention 147
M1  - Paper 555
PY  - 2019
DA  - 2019/10/06
UR  - https://aes.org/publications/elibrary-page/?id=20578
PB  - Audio Engineering Society
LA  - en
AB  - We present a synthesis algorithm for approximating bird song using particle swarm optimization to match real bird recordings. Frequency and amplitude envelope curves are first extracted from a bird recording. Further analysis identifies the presence of even and odd harmonics. A particle swarm algorithm is then used to find cubic Bezier curves which emulate the envelopes. These curves are applied to modulate a sine oscillator and its harmonics. The synthesized syllable can then be repeated to generate the sound. Thirty-six bird sounds have been emulated this way, and a real-time web-based demonstrator is available, with user control of all parameters. Objective evaluation showed that the synthesized bird sounds captured most audio features of the recordings.
ER  -