منابع مشابه
Using JASA format
Modeling the human larynx can provide insights into the nature of flow within the glottis. This study reports intraglottal pressure profiles and flow visualization for a symmetric and an oblique glottis with a glottal angle of 10 deg divergence. For the oblique case, the glottis slanted at an angle of 15 deg. A Plexiglas model of the larynx was used. Each vocal fold had at least 11 pressure tap...
متن کاملUsing JASA format
Spatial unmasking of nearby pure-tone sources masked by broadband noise was studied in a simulated anechoic environment. The predicted amount of binaural unmasking was calculated using interaural differences from a spherical-head model @B. G. Shinn-Cunningham, S. G. Santarelli, and N. Kopčo, J. Acoust. Soc. Am. ~in press!# and the Colburn model of binaural processing @H. S. Colburn, J. Acoust. ...
متن کاملNieto - Castanon , JASA 1
This paper investigates the functional relationship between articulatory variability and stability of acoustic cues during American English /r/ production. The analysis of articulatory movement data on seven subjects shows that the extent of intra-subject articulatory variability along any given articulatory direction is strongly and inversely related to a measure of acoustic stability (the ext...
متن کاملJASA, in press Restoration of Monotonicity Respecting in Dynamic Regression
Dynamic regression models, including the quantile regression model and Aalen’s additive hazards model, are widely adopted to investigate evolving covariate effects. Yet lack of monotonicity respecting with standard estimation procedures remains an outstanding issue. Advances have recently been made, but none provides a complete resolution. In this article, we propose a novel adaptive interpolat...
متن کاملJASA Methods for Automatically Extracting Bioacoustic Structure
This paper presents mathematical methods for automatically extracting and analysing bioacoustic signals. Automatic techniques are described for isolation of target signals from background noise, extraction of features from target signals and unsupervised classification (clustering) of the target signals based on these features. The only user-provided inputs, other than raw sound, are 6 control ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Journal of the Acoustical Society of America
سال: 2019
ISSN: 0001-4966
DOI: 10.1121/1.5109363