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Performance for randomly described arrays

  • Jingjing Yu
  • , Kevin D. Donohue

Producción científica: Conference contributionrevisión exhaustiva

9 Citas (Scopus)

Resumen

The complex relationship between irregular microphone distributions and its spatial gain hinders the efficient use of beamforming in various applications. This paper examines beamformer performance based on statistical descriptions of microphone geometries. In particular, array centroid, dispersion, and entropy based statistics are used to characterize irregular geometries relative to beamformer focal points. Simulations are performed to determine relationships between geometry descriptors and beamformer performance for speech applications. Descriptors are used in a genetic algorithm (GA) for optimizing microphone placements for various acoustic target and noise source distributions. Results show significant SNR enhancements for optimized irregular arrays over comparable regular arrays. GA objective functions using proposed geometry descriptors, result in rapid convergence to superior performing arrays, indicating a strong correlations with array performance.

Idioma originalEnglish
Título de la publicación alojada2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2011
Páginas269-272
Número de páginas4
DOI
EstadoPublished - 2011
Evento2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2011 - New Paltz, NY, United States
Duración: oct 16 2011oct 19 2011

Serie de la publicación

NombreIEEE Workshop on Applications of Signal Processing to Audio and Acoustics

Conference

Conference2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2011
País/TerritorioUnited States
CiudadNew Paltz, NY
Período10/16/1110/19/11

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications

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