… The aim of this study is to see if some special modeling algorithm can be used to predict
midbrain auditory responses of one type of environmental sounds, based on the responses to …

… extend to a set of environmental sounds the notion of sound descriptors usually used for
musical sounds. Four separate primary studies dealing with interior car sounds, air-conditioning …

… Also, there is a lack of multivariate models that can help to predict the preferences or
annoyance responses as a result of adding a wanted sound to an unwanted sound. Accordingly, …

… With the aim of studying the incorporation of human performance into the design of
computational audio models we sought to develop a sound model that had high potential for …

… This dissertation describes human listeners’ abilities to identify a representative set of
environmental sounds under a range of listening conditions. Various models have been applied in …

… Eventually, adjusted sound source difference models were … other source level experienced
in a sound combination. The results … All models have the overall response to the total sound …

… of environmental sound (eg, when distraction by train passages is assessed, it may be
necessary to consider several hours of sound), the use of detailed auditory processing models is …

… of environmental sounds. This study provides a preliminary basis for optimizing environmental
sound … the role of several acoustic factors important for environmental sound identification. …

… As ANOVAs are not well-suited to modeling categorical data, we used a logit mixed
model approach for the percent correct data (Jaeger, 2008). Using the lme4 package in R (Bates, …

… A similar pattern of results is seen in the dog v water sounds models. There was 22.4 times
the odds of naming a category using a word that described a subjective-state rather than the …