A Fuzzy Cerebellar Model Approach for Synthesizing Multichannel Recordings

Kyriakakis C, Lin CS. A Fuzzy Cerebellar Model Approach for Synthesizing Multichannel Recordings. In: AES Convention 113. Audio Engineering Society; 2002. Paper 5675. Available from: https://aes.org/publications/elibrary-page/?id=11258

@inproceedings{Kyriakakis2002_11258,
  author = {Kyriakakis, Chris and Lin, Ching-Shun},
  title = {{A Fuzzy Cerebellar Model Approach for Synthesizing Multichannel Recordings}},
  booktitle = {AES Convention 113},
  note = {Paper 5675},
  year = {2002},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=11258}
}

TY  - CPAPER
TI  - A Fuzzy Cerebellar Model Approach for Synthesizing Multichannel Recordings
AU  - Kyriakakis, Chris
AU  - Lin, Ching-Shun
T2  - AES Convention 113
M1  - Paper 5675
PY  - 2002
DA  - 2002/10/06
UR  - https://aes.org/publications/elibrary-page/?id=11258
PB  - Audio Engineering Society
LA  - en
AB  - New high capacity optical discs and high bandwidth networks provide the capability for delivering multichannel audio. Although there are many one-and two-channel recordings in existence, only a handful of multichannel recordings exist. In this paper we propose a neural network approach that can synthesize microphone signals with the correct acoustical characteristics of specific venues that have been characterized in advance. These signals can be used to generate a multichannel recording with the acoustical characteristics of the original venue. The complex semi-cepstrum technique is employed to extract features from musical signals recorded in a venue and these signals are sent into the fuzzy cerebellar model articulation controller (FCMAC) for training.
ER  -