Sound has a multitude of applications in areas ranging from engineering, architecture, entertainment, to environmental noise control. Sound also plays a crucial role in immersive virtual environments with studies showing it can improve the sense of presence and fidelity in training, simulation, education, and entertainment. This makes it important to simulate sound in a perceptuallyaccurate way...

current standards for indoor comfort are based on studies of adults, but they also apply tochildren, even though children differ in terms of metabolic rates, clothing types, activity levels, and preferences in space arrangement. children are also more sensitive to a range of environmental factors, they are usually unable to interact with their environment, and they accept indoor conditions pass...

In this paper we present a method to search for environmental sounds in large unstructured databases of user-submitted audio, using a general sound events taxonomy from ecological acoustics. We discuss the use of Support Vector Machines to classify sound recordings according to the taxonomy and describe two use cases for the obtained classificationmodels: a content-based web search interface fo...

It is very important for a hands-free speech interface to capture distant talking speech with high quality. A microphone array is an ideal candidate for this purpose. However, this approach requires localizing the target talker. Conventional talker localization methods in multiple sound source environments not only have difficulty localizing the multiple sound sources accurately, but also have ...

Sound event detection in everyday environments * Alison Johnston (British Trust for Ornithology) What proportion of birds do we detect? Variation in bird detectability by species, habitat and observer * Jordi Bonada (Universitat Pompeu Fabra, Barcelona) Probabilistic-based synthesis of animal vocalizations Matrix factorization methods for environmental sound analysis * Sarah Angliss (composer, ...

conclusions according to the results of this study, with increasing load of traffic, there is an increasing need for proper consideration plans to control noise pollution and prevent its effects. results according to the research findings, the equivalent sound pressure levels in all stations were 76.28 ± 3.12 db (mean ± sd). according to sound measurements and the survey questionnaire, noise po...

During the recording time of lung sound (LS) signals from the chest wall of a subject, there is always heart sound (HS) signal interfering with it. This obscures the features of lung sound signals and creates confusion on pathological states, if any, of the lungs. A novel method based on empirical mode decomposition (EMD) technique is proposed in this paper for reducing the undesired heart soun...

Environmental sound detection is a challenging application of machine learning because of the noisy nature of the signal, and the small amount of (labeled) data that is typically available. This work thus presents a comparison of several state-of-the-art Deep Learning models on the IEEE challenge on Detection and Classification of Acoustic Scenes and Events (DCASE) 2016 challenge task and data,...

In previous work, a class of digital sound synthesis methods was introduced using iterated nonlinear functions [1][2][3][4]. Within the phase space of any method in the class, we encounter regions of special interest where signals have peculiar self-similar structures (waveforms of multiple fractal contours) [5][6]. Due to the system dynamics, emergent properties in the output sound signal resu...