Gaussian Mixture Model Based Methods for Virtual Microphone Signal Synthesis

Kyriakakis C, Mouchtaris A, Narayanan SS. Gaussian Mixture Model Based Methods for Virtual Microphone Signal Synthesis. In: AES Convention 113. Audio Engineering Society; 2002. Paper 5647. Available from: https://aes.org/publications/elibrary-page/?id=11259

@inproceedings{Kyriakakis2002_11259,
  author = {Kyriakakis, Chris and Mouchtaris, Athanasios and Narayanan, Shrikanth S.},
  title = {{Gaussian Mixture Model Based Methods for Virtual Microphone Signal Synthesis}},
  booktitle = {AES Convention 113},
  note = {Paper 5647},
  year = {2002},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=11259}
}

TY  - CPAPER
TI  - Gaussian Mixture Model Based Methods for Virtual Microphone Signal Synthesis
AU  - Kyriakakis, Chris
AU  - Mouchtaris, Athanasios
AU  - Narayanan, Shrikanth S.
T2  - AES Convention 113
M1  - Paper 5647
PY  - 2002
DA  - 2002/10/06
UR  - https://aes.org/publications/elibrary-page/?id=11259
PB  - Audio Engineering Society
LA  - en
AB  - Multichannel audio can immerse a group of listeners in a seamless aural environment. However, several issues must be addressed, such as the excessive transmission requirements of multichannel audio, as well as the fact that to-date only a handful of music recordings have been made with multiple channels. Previously, we proposed a system capable of synthesizing the multiple channels of a virtual multichannel recording from a smaller set of reference recordings. In this paper these methods are extended to provide a more general coverage of the problem. The emphasis here is on time-varying filtering techniques that can be used to enhance particular instruments in the recording, which is desired in order to simulate virtual microphones in several locations close and around the sound source.
ER  -