An efficient finite volume approach has been used to develop a three dimensional Helmholtz acoustic solver for complex geometries. This acoustic solver was utilized to obtain characteristic mode shapes and frequencies of a baffled combustion chamber. An experimental setup, including stationary and moving sensors, has also been used to measure these quantities for the same model combustion chamb...

Acoustic properties of vocalizations arise through the interplay of neural control with the morphology and biomechanics of the sound generating organ, but in songbirds it is assumed that the main driver of acoustic diversity is variation in telencephalic motor control. Here we show, however, that variation in the composition of the vibrating tissues, the labia, underlies diversity in one acoust...

Accurate discrimination of NASH from simple steatsois (fatty liver) is a critical issue in current clinical practice because it may progress to cirrhosis or even liver cancer[1]. Although the precise mechanisms of NASH remain unclear, some reports have shown differences in the content of free fatty acid (FFA) between controls and NASH[2][3]. Thus, an ultrasound-based diagnostic technique of NAS...

Recently deep neural networks (DNNs) have become increasingly popular for acoustic modelling in automatic speech recognition (ASR) systems. As the bottleneck features they produce are inherently discriminative and contain rich hidden factors that influence the surface acoustic realization, the standard approach is to augment the conventional acoustic features with the bottleneck features in a t...

Precision measurements of collective mode frequencies in superfluid (3)He-B are sensitive to quasiparticle and f-wave pairing interactions. Measurements were performed at various pressures using interference of transverse sound in an acoustic cavity. We fit the measured collective mode frequencies, which depend on the strength of f-wave pairing and the Fermi liquid parameter F(2)(s), to theoret...