Parametric Multidirectional Decomposition of Microphone Recordings for Broadband High-Order Ambisonic Encoding

Politis A, Tervo S, Lokki T, Pulkki V. Parametric Multidirectional Decomposition of Microphone Recordings for Broadband High-Order Ambisonic Encoding. In: AES Convention 144. Audio Engineering Society; 2018. Paper 9940. Available from: https://aes.org/publications/elibrary-page/?id=19457

@inproceedings{Politis2018_19457,
  author = {Politis, Archontis and Tervo, Sakari and Lokki, Tapio and Pulkki, Ville},
  title = {{Parametric Multidirectional Decomposition of Microphone Recordings for Broadband High-Order Ambisonic Encoding}},
  booktitle = {AES Convention 144},
  note = {Paper 9940},
  year = {2018},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=19457}
}

TY  - CPAPER
TI  - Parametric Multidirectional Decomposition of Microphone Recordings for Broadband High-Order Ambisonic Encoding
AU  - Politis, Archontis
AU  - Tervo, Sakari
AU  - Lokki, Tapio
AU  - Pulkki, Ville
T2  - AES Convention 144
M1  - Paper 9940
PY  - 2018
DA  - 2018/05/06
UR  - https://aes.org/publications/elibrary-page/?id=19457
PB  - Audio Engineering Society
LA  - en
AB  - Higher-order Ambisonics (HOA) is a flexible recording and reproduction method, which makes it attractive for several applications in virtual and augmented reality. However, the recording of HOA signals with practical compact microphone arrays is limited to a certain frequency range, which depends on the applied microphone array. In this paper we present a parametric signal-dependent approach that improves the HOA signals at all frequencies. The presented method assumes that the sound field consists of multiple directional components and a diffuse part. The performance of the method is evaluated in simulations with a rigid microphone array in different direct-to-diffuse and signal-to-noise ratio conditions. The results show that the proposed method has a better performance than the traditional signal-dependent encoding in all the simulated conditions.
ER  -