Audio Processing—Learning From Experience

Rumsey F. Audio Processing—Learning From Experience. J Audio Eng Soc. 2021;69(5):361-365. Available from: https://aes.org/publications/elibrary-page/?id=21041

@article{Rumsey2021_21041,
  author = {Rumsey, Francis},
  title = {{Audio Processing—Learning From Experience}},
  journal = {Journal of the Audio Engineering Society},
  volume = {69},
  number = {5},
  pages = {361--365},
  year = {2021},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=21041}
}

TY  - JOUR
TI  - Audio Processing—Learning From Experience
AU  - Rumsey, Francis
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 69
IS  - 5
SP  - 361
EP  - 365
PY  - 2021
DA  - 2021/05/06
UR  - https://aes.org/publications/elibrary-page/?id=21041
PB  - Audio Engineering Society
LA  - en
AB  - Digital audio processing is increasingly dependent on algorithms that learn various features and characteristics of audio signals. Neural networks are often used, and they have to be trained with large bodies of audio material so that they can start to behave in a predictable and useful way. Once trained they can be put to work in roles such as distinguishing between live and studio recordings, searching for specific drum sounds in mixes, creating morphed sounds, or emulating existing analog effects.
ER  -