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Steerable differential beamformers with planar microphone arrays
- Source :
- EURASIP Journal on Audio, Speech, and Music Processing, Vol 2020, Iss 1, Pp 1-18 (2020)
- Publication Year :
- 2020
- Publisher :
- SpringerOpen, 2020.
-
Abstract
- Humanoid robots require to use microphone arrays to acquire speech signals from the human communication partner while suppressing noise, reverberation, and interferences. Unlike many other applications, microphone arrays in humanoid robots have to face the restrictions in size and geometry. To address these challenges, this paper presents an approach to differential beamforming with arbitrary planar array geometries. The major contributions of this work are as follows: (1) a method is presented to design differential beamformers, which works for regular geometries such as linear, circular, and concentric circular ones, as well as irregular geometries, as long as the sensors’ positions are given or can be measured; (2) fundamental requirements for the design of different orders of linear differential microphone arrays (DMAs), partially steerable DMAs, fully steerable DMAs, and robust DMAs are discussed; (3) the validity and limitations of the Jacobi-Anger expansion approximation is analyzed, where we discuss how to achieve an optimal approximation by properly choosing the reference point; and (4) we show how to design an Nth-order DMA with 2N microphones using the Jacobi-Anger expansion.
- Subjects :
- Beamforming
Reverberation
Acoustics and Ultrasonics
Microphone
Computer science
Acoustics
Planar array
Differential beamforming
lcsh:QC221-246
01 natural sciences
lcsh:QA75.5-76.95
030507 speech-language pathology & audiology
03 medical and health sciences
Planar
0103 physical sciences
Electrical and Electronic Engineering
010301 acoustics
Microphone arrays
Noise
Robot audition
lcsh:Acoustics. Sound
Frequency-invariant beampattern
lcsh:Electronic computers. Computer science
0305 other medical science
Differential (mathematics)
Humanoid robot
Subjects
Details
- Language :
- English
- ISSN :
- 16874722
- Volume :
- 2020
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- EURASIP Journal on Audio, Speech, and Music Processing
- Accession number :
- edsair.doi.dedup.....994de158d81667b67f62ebee71971b30
- Full Text :
- https://doi.org/10.1186/s13636-020-00185-1