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A Comparative Study to judge the Usefulness associated with Curcumin Lozenges (TurmNova®) along with Intralesional Adrenal cortical steroids together with Hyaluronidase throughout Management of Mouth Submucous Fibrosis.
The back-end of the system is a sound event classifier that is based on convolutional neural networks (CNNs), and convolutional long short-term memory networks Mel-spectrograms are used as the input features to the CNNs. Simulations and experiments conducted in a live room have demonstrated the strength and weakness of the direct and two-stage methods. Signal quality enhancement using the array-based front-end proves beneficial for improved classification accuracy over a single microphone.The current study examined sentence recognition across speaking styles (conversational, neutral, and clear) in quiet and multi-talker babble (MTB) for cochlear implant (CI) users and normal-hearing listeners under CI simulations. Listeners demonstrated poorer recognition accuracy in MTB than in quiet, but were relatively more accurate with clear speech overall. Within CI users, higher-performing participants were also more accurate in MTB when listening to clear speech. Lower performing users' accuracy was not impacted by speaking style. Clear speech may facilitate recognition in MTB for high-performing users, who may be better able to take advantage of clear speech cues.The Southern United States have long been known for language diversity, yet linguistic research in this region has often focused on broad descriptions of characteristics of Southern American English as compared to other regional dialects of American English. Linguistic subregions in the South, however, are distinctly different from each other, and additional social variation also occurs within those subregions. Thus, the different English varieties spoken in the South cannot be collapsed under a single umbrella. Analyzing varieties of English in the Southern United States calls for a narrower approach, which will more accurately represent diverse Southern communities, their languages of practice, and the sound changes in process. Sociophonetic research on variation within English varieties in the Southern United States highlights theoretical and practical areas in speech acoustics that would otherwise remain under-documented and under-investigated, such as socially meaningful variation in vowel trajectories, nasalance of vowels, and temporal characteristics. The goal of this special issue is to bring together research that investigates the production and perception of Southern varieties of American English by documenting the segmental and prosodic patterns unique to these subregional varieties and by determining how these features are perceived by both Southerners and non-Southerners.Compressive spherical beamforming (CSB) with spherical microphone arrays enjoys high spatial resolution and strong sidelobes suppression at medium to high frequencies. In this paper, the adaptive reweighting homotopy (ARH) algorithm is adapted to CSB, and the proposed method is abbreviated as ARH-CSB, which bypasses a priori signal-to-noise ratio (SNR) estimation. ARH-CSB iteratively solves the CSB model by determining the support set and adaptively searching for weights while estimating the source strength. Simulations and experiments demonstrate that ARH-CSB can effectively identify acoustic sources. Furthermore, compared to CSB solved by ℓ1-norm minimization algorithm and iterative reweighted ℓ1-norm minimization algorithm, ARH-CSB does not depend on a priori SNR and has better adaptability to low SNR, stronger robustness, higher weak sources quantification accuracy, and faster computation speed.In this paper, the problem of source localization using one-step direct position determination (DPD) approaches with large-aperture horizontal line arrays is considered. In practice, it may be difficult to keep the array configuration and overlarge inter-element spacing may cause the split beam problem when decentralized DPD approaches are applied. A cluster-based coherent MUSIC DPD approach is proposed to handle the unfavourable array configuration. The large-aperture array is divided into several small-aperture arrays, which form a coherent cluster to keep the largest covariance lag unchanged. Experimental results with the SWellEx96 data demonstrate the performance gain achieved by cluster-based coherent processing.In the original paper [Yasui and Izu, J. Acoust. Soc. Am. DMXAA 141(6), 4398-4407 (2017)], the temperature gradient in Rott equations was assumed as zero by mistake as an author error, although temperature gradient was adequately taken into account in the numerical simulations of thermal conduction between a fluid parcel and the wall of a stack. In the present erratum, the results of the corrected numerical simulations are shown. The results show that the pV work done by a fluid parcel is larger in a wet stack compared to that in a dry stack not only in a traveling-wave thermoacoustic engine but also in a standing-wave thermoacoustic engine. The pV work is determined not only by the volume oscillation amplitude of a fluid parcel but also by the change in the mean volume of a fluid parcel.Perceptual anchors are representations of stimulus features stored in long-term memory rather than short-term memory. The present study investigated whether listeners use perceptual anchors to improve pure-tone frequency discrimination. Ten amateur musicians performed a two-interval, two-alternative forced-choice frequency-discrimination experiment. In one half of the experiment, the frequency of the first tone was fixed across trials, and in the other half, the frequency of the first tone was roved widely across trials. The durations of the interstimulus intervals (ISIs) and the frequency differences between the tones on each trial were also manipulated. The data were analyzed with a Bayesian model that assumed that performance was limited by sensory noise (related to the initial encoding of the stimuli), memory noise (which increased proportionally to the ISI), fluctuations in attention, and response bias. It was hypothesized that memory-noise variance increased more rapidly during roved-frequency discrimination than fixed-frequency discrimination because listeners used perceptual anchors in the latter condition. The results supported this hypothesis. The results also suggested that listeners experienced more lapses in attention during roved-frequency discrimination.
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