Extracting the frequencies of the pinna spectral notches in measured head related impulse responses.
The head related impulse response (HRIR) characterizes the auditory cues created by scattering of sound off a person's anatomy. The experimentally measured HRIR depends on several factors such as reflections from body parts (torso, shoulder, and knees), head diffraction, and reflection/ diffraction effects due to the pinna. Structural models (Algazi et al., 2002; Brown and Duda, 1998) seek to establish direct relationships between the features in the HRIR and the anatomy. While there is evidence that particular features in the HRIR can be explained by anthropometry, the creation of such models from experimental data is hampered by the fact that the extraction of the features in the HRIR is not automatic. One of the prominent features observed in the HRIR, and one that has been shown to be important for elevation perception, are the deep spectral notches attributed to the pinna. In this paper we propose a method to robustly extract the frequencies of the pinna spectral notches from the measured HRIR, distinguishing them from other confounding features. The method also extracts the resonances described by Shaw (1997). The techniques are applied to the publicly available CIPIC HRIR database (Algazi et al., 2001c). The extracted notch frequencies are related to the physical dimensions and shape of the pinna.
Raykar
Vikas C
VC
Perceptual Interfaces and Reality Laboratory, Institute for Advanced Computer Studies, Department of Computer Science, University of Maryland, College Park 20742, USA. vikas@umiacs.umd.edu
Duraiswami
Ramani
R
Yegnanarayana
B
B
D000162:Acoustics; D000465:Algorithms; D003463:Cues; D004431:Ear, External / Q000033:anatomy & histology* / Q000502:physiology*; D006257:Head; D006309:Hearing / Q000502:physiology*; D006801:Humans; D008962:Models, Theoretical; D013016:Sound