Active sound quality control (ASQC) of vehicle interior noise is to reshape the sound spectrum by considering human perception. But current ASQC method mainly controls the interior noise amplitude, ignoring the time–frequency characteristics, and active control of sharpness is a problem. According to psychoacoustic indices, the original noise needs to be decomposed into subbands to obtain targeted

Sound masking has been applied to improve subjective perception of noise in recent years. This noise control technology could gain better perceptual effects on certain noises with lower cost compared with the traditional noise control technologies. However, the neural mechanisms underlying sound masking are rarely studied. In this study, 19 healthy subjects were recruited to take fMRI scanning and

Mode spaces are the subspaces that describe where the sound of interest impinging on the vertical line array (VLA) lives. It is spanned by the VLA sampled modes (modal depth functions), and is required in the implementation of some underwater source detection and localization algorithms. However, due to environmental uncertainty, especially in shallow water, the mode space is difficult to obtain. How

Voice recognition technology can almost accurately recognize a user’s voice in the absence of background noise or when the noise levels are extremely low. However, voice recognition in the presence of background noise with various voice signals is complicated. The problem in the current voice separation scheme is that though voice separation is possible from mixed voice signals, a permutation problem

The effect of small regular waves on the vibroacoustic behavior of a partially immersed cylindrical shell under point-force excitation is studied using theoretical and experimental approaches. An approximate theoretical model of the circumferential vibroacoustic behavior of this system is established by assuming that the waves only change the draught of the shell. Vibroacoustic coupling equations are

Nowadays, many people have suffered from sleep disorders. These diseases affect daily life and can disrupt sanity. Sleep disorders/diseases can be diagnosed by using nocturnal sleep sounds. This work presents an automated nocturnal sound classification method. The proposed nocturnal sound classification method can be used in the automated sleep disease diagnosis process. To propose a highly accurate

This paper proposes a new approach for modelling and predicting the reverberation time in rectangular rooms with non-uniform absorption distribution. The model considers three separate decays for the three room dimensions and a fourth decay for the diffuse field. The sum of the four decays’ RMS-sound pressure values lead to a total decay curve, from which the reverberation time is obtained. Moreover

Silencers are widely used to attenuate unwanted noise emitted by engines, exhaust, and ventilation systems or from intermittent gas flow in pipes. In recent years, the study of noise control using optimization techniques applied to silencers has been growing. The main objective of the present work is to parametrically optimize the shape of a compact reactive silencer with a single expansion chamber

The wall suction & slip effect of the bionic metasurface with periodic spherical grooves on the vehicle body surface is proposed for aerodynamic noise control, and physical mechanism is investigated by theoretical analysis and simulation. When fluid flows through the grooved vehicle body surface, wall suction effect occurs due to clockwise pressure difference around the interior groove. The trailing

In this work, the effect of friction block configuration on the brake squeal of a high-speed train is investigated. Three friction block configurations of simplified brake pads are used in the brake tests. The test results indicate that friction block configuration has a significant effect on the noise performance of the brake system. Finite element analysis reveals that the break squeal occurs due

The active detection of underwater targets is an important area of research and has numerous applications. In this paper, a bistatic detection and positioning system using an Acoustic Vector Sensor (AVS) is proposed which employs an improved Matched Filter (MF). The target position is determined using time delay and azimuth estimation. Frequency domain autocorrelation is employed to remove noise and

The speech signal is like the black box of human beings where much information is hidden. The treatment of this signal provides us with the speaker’s identity. In a way, it is similar to an identity card. Moreover, some neurologic diseases such as Alzheimer, depression, and Parkinson are detected based on the features extraction from the speech signals. In our study, we have recourse to the evolutionary

The awareness of sound impact to human organism is constantly growing, affecting in the increase of documents number aiming at limiting of general noise, reverberation noise and provision of good speech legibility. Such acoustical qualities are especially important in the offices and open plan call centres. Therefore this article was devoted to presentation of findings on theory and architectural room

Transient interferences such as keystrokes, mouse clicks and hammering pose a significant challenge in the single channel speech enhancement due to their abrupt and non-continuous nature. Traditional noise suppression algorithms and even many non-stationary noise reduction algorithms do not adequately suppress transient interference. Therefore, in this work, we propose a semi-supervised single channel

Predictions of outdoor sound propagation in uncertain conditions are a challenging task. Evidence suggests that using more than one receiver can reduce the effect of uncertainties. This paper studies via numerical simulations the effects of uncertainty in the source/receiver geometry and impedance ground condition on the sound pressure ratio recorded using the two-microphone method. A Monte Carlo method

The aim of this study was to examine the characteristics of the elderly individuals’ acoustic demands and the effects of six influencing factors, categorized into the following three types: activity type, objective environment (number of people in a room, sound pressure level), and demographic factors (age, sex, and occupation type). In addition, we sought to identify relationships between sound preference

Cardiovascular diseases (CVD) have become the most important health problem of our time. High blood pressure, which is cardiovascular disease, is a risk factor for death, stroke, and heart attack. Blood pressure measurement is commonly used to limit blood flow in the arm or wrist, with the cuff. Since blood pressure cannot be measured continuously in this method, the dynamics underlying blood pressure

The sectional geometry of sealing strips in an automotive door is generally in shape with a round bulb. It can be simplified to an idealized dual-membrane model to study the vibro-acoustic coupling characteristics. In the present study, a simple sealing model is adopted to investigate the sound insulation of the door seal. Among that, two flexible rectangular thin structures represent rubber layers

The operational noise of electronic expansion valve (EEV) is the main component of noise source for the indoor unit of the air conditioner. The sound quality of EEV noise directly influences the consumer’s perceptions. Based on deep belief network (DBN) technique, an objective model has been conducted to evaluate the sound quality of EEV. Gaussian Restricted Boltzmann Machines (GRBM) provides the capability

Direction-of-arrival (DOA) estimation using a linear co-prime microphone array has attracted tremendous attention in many acoustic applications. Spatial smoothing MUSIC (SS-MUSIC)-based methods and compressive sensing-based methods are two popular approaches for DOA estimation using co-prime linear arrays. However, these methods exhibit high computational complexity and suffer from performance degradation

Small but inevitable non-uniformities always exist in real fans. They are responsible for the non-uniform signatures observed in the up-propagating rotor-alone pressure field. In the transonic regime, shock trains emerge in this pressure field to form the source of “buzz-saw” noise. Blade non-uniformities destroy the periodicity of blade passages. Thus, full-annulus three-dimensional simulations are

Focusing systems that consist of acoustic lenses exhibit higher controllability and focusing intensity when manipulating sound waves. Different parameters have different effects on the performance of the acoustic lens, so analyzing a variety of parameter combinations for the acoustic lens is difficult because of the complexity of the test. Therefore, we report an analytical method for studying the

The performance of adaptive beamformers may suffer from significant degradation in the presence of steering vector errors, statistics estimation errors, and reverberation. To address this issue, robust beamforming methods, which were originally studied in the narrow-band cases, are studied and compared in this paper for processing acoustic and speech signals, which are broadband in nature. We study

The dynamic properties of filled elastomers have been a subject of both fundamental and applied research interest. We report on the tunable and synergistic effect of carbon black and anisotropic additives on the viscoelastic and vibration damping properties of a segmented polyurethane (PU). To this end, PU composites were prepared using aramid short fiber and graphite as micro-scale additives and organically

Ultrasonic superresolution images can be generated using a polymer ball lens. Here, we provide an image formation model for this superresolution imaging method. The imaging system is comprised of a circular flat transducer operating in pulse-echo mode with a central frequency of 1MHZ, and a ball lens centered in the beam axis of symmetry. The wavelength in water is λ0=1.5mm. The system experimentally

Tramway noise can be significant even though the speeds are relatively low. The influence of track design on the rolling noise is studied through a systematic comparison of different tracks on a single network. These include a slab track with embedded sleeper blocks, a ballasted track and a track with embedded rails. Measurements have been taken of rail vibration and noise during tram passages at approximately

In the past decade, research for improving man–machine communication has focused on emotion recognition using audio cues. Several effective monolingual, multilingual, and cross-corpus speech emotion recognition (SER) systems have been developed; however, they are limited to recognizing emotions from databases of monolingual discourse, primarily in either categorical or dimensional emotion space. For

An acoustic model comprising periodic cylindrical cavities embedded in a soft elastic medium with gradient changes of radii and distances is presented. The main advantage of this model is that high sound absorption across a broadband frequency range can be realized. The basic mechanism for sound absorption is based on Fabry–Pérot resonance. A numerical model using the finite element method is developed

Worldwide increases in noise levels due to growth in urban population, traffic and machinery have serious implications for health, productivity and quality of life. Prevention of sound transmission through walls and ceilings, particularly towards the lower frequency range of human hearing is important both because of its recent increase in levels and the challenges faced when providing sound insulation

Considering the factor of traffic noise during design period could mitigate the noise emission of urban road networks. In this paper, noise prediction and control of typical points among design networks are presented, with the establishment of a univariate noise prediction model and the improvement of UE (user equilibrium) traffic assignment model. First, a univariate traffic noise prediction model

This paper proposes a novel fully convolutional neural network (FCN) called FLGCNN to address the end-to-end speech enhancement in time domain. The proposed FLGCNN is mainly built on encoder and decoder, while the extra convolutional-based short-time Fourier transform (CSTFT) layer and inverse STFT (CISTFT) layer are added to emulate the forward and inverse STFT operations. These layers aim to integrate

Nowadays, historical opera houses are also employed for symphonic music, especially in a country like Italy where they are far more widespread than concert halls. The aim of the work presented here is to modify the acoustic conditions of an opera house by introducing an overhead reflector array and removing drapes from the stage, so to meet the requirements for an orchestral performance. The design

Recently, there has been an incremental interest on Environmental Sound Classification (ESC), which is an important topic of the non-speech audio classification task. A novel approach, which is based on deep Convolutional Neural Networks (CNN), is proposed in this study. The proposed approach covers a bunch of stages such as pre-processing, deep learning based feature extraction, feature concatenation

Noise is one the most common health hazards in the workplace. Noise-induced annoyance, as a measurable mental response, is one of the most significant adverse effects of noise. The level of annoyance from environmental noise is affected by several non-acoustic factors such as personality traits, hearing sensitivity, or attitude. The purpose of this study was to investigate the effect of hearing conservation

Ancient Roman theatres represent a unique cultural heritage which is still used nowadays to host a variety of cultural activities and performances. Acoustic measurements show that the acoustics of these theatres does not always support the listening of music, which is common in modern performances. Although the acoustics of these theatres for modern use performances may be challenging, this cultural

Geometry of cabins, corridors, and materials used in railway passenger carriages can play important roles in acoustic performance inside the rail cars. In order to evaluate the noise level inside a rail car, a hybrid method based on the ray-tracing and image-source techniques is employed. A parametric model is constructed based on the field experiment performed in a typical coach cabin namely Fadak

Ancient architectural shapes as domes and other curved surfaces are widely admired by architects even if they may present serious acoustical hazards. In large interiors formed by curved surfaces, acoustical singularities such as the “sliding” of sound along a concave wall or a concentration of sound in a distant location of the room may happen. These phenomena can be mostly found in historical spaces

A novel porous copper fiber sintered sheets (PCFSSs) with different porosities were fabricated using the cutting copper fibers with rough surface. The effect of fiber surface morphology, porosity, thickness and gradient pore structure of PCFSS on sound absorption performance was tested by using the transfer function method. Our results show that the copper fiber sintered sheets with rough surface exhibited

An inverse modification method for the assignment of antiresonant frequencies at which no vibration will be experienced at the chosen multiple coordinates of a structure subjected to a single force is presented. And the method can also be used to assign the zero displacements at a specific frequency when the structure is subjected to multiple forces. The method determines the passive stiffness or mass

The logarithmic spiral has become a common design archetype for the placement of microphones in microphone array systems. Such designs tend to perform well; however, when the diameter of the array is increased to improve the array’s angular resolution, the portability and convenience of the array are significantly compromised. Large spiral-based arrays of more than a few meters in diameter are unwieldy

Historical structure properties and indoor requirements should be taken into consideration in plaster layer mixture type selection during the historical building restoration. In the research, it has been aimed to increase the sound absorption coefficient in plaster layers with the direction of accurate restoration application decisions. In the plaster content, natural hydraulic lime binder which is

A systematic review for soundscape modelling methods is presented. The methods for developing soundscape models are hereby questioned by investigating the following aspects: data acquisition methods, indicators used as predictors of descriptors in the models, descriptors targeted as output of the models, linear rather than non-linear model fitting, and overall performances. The inclusion criteria for

One of the crucial problems of the signal processing, digital forensics and machine learning is the environmental sound classification (ESC). Several ESC methods have been presented to obtain highly accurate model. In this work, a novel multileveled ESC method is presented. The presented ESC method uses two novel algorithms namely Spiral Pattern and two dimensional maximum, minimum, median and mean

The degradation of the sound environment contributes significantly to the external costs of mobility and is an obstacle to the development of cities. Action plans aiming at fighting traffic noise often take a long time to reach mature implementation. Therefore, it is advantageous to envisage how societal and urban changes and associated changes in mobility practices will modify the urban sound environment

Ventilation window is one of the critical elements in sustainable building development, although frequently, outdoor factors such as environmental noise can limit their use. It is necessary to develop windows with both natural ventilation and noise mitigation functions. Acoustic Metamaterials (AMMs) set a new trend in solving physical challenges related to sound wave control, which can find their applications

Accurate determination of microphone sensitivity is important to build reliable acoustical instruments. The sensitivity is usually determined by calibration. However, because available microphone calibration methods determine the sensitivity from a mathematical model derived from the geometry of a conventional condenser microphone, they cannot be applied to the calibration of microelectromechanical

The newly refurbished vertical tunnel (V-tunnel) at Delft University of Technology has been redesigned as a state-of-the-art facility for research in aeroacoustics (A-tunnel), as well as fundamental studies in laminar-turbulent transition and flow control. This manuscript focuses on the design and refurbishment aspects of the facility, including a description of the main modifications in the supporting

Well-designed thin lightweight fabrics can effectively replace bulky porous materials traditionally used in sound absorption. In this paper, a method based on Johnson-Champoux-Allard (JCA) model and multiple regression is proposed to predict the sound absorption effect of woven fabrics. Detailed 3D geometric models are built for a set of woven samples. Multiple regression method is conducted to obtain

With the aim of studying the noise reduction performance of the vertical noise barrier on railway bridges, this paper introduces the statistical energy analysis (SEA) to predict their insertion losses. Two sub-models were built to estimate the transmission losses (TLs) between the two subsystems, thus the isolation properties and the sound absorption were simulated. A field measurement targeting the

In this study, a shaking table test was performed to systematically explore the damping mechanism of buffered impact dampers. Parameters such as mass ratio, gap clearance, excitation characteristics and material properties were analyzed. Seven buffered materials were chosen in this study, and experiments on both buffered container and buffered particle were carried out. New concept “collision hardness”

The function of libraries has changed considerably in recent decades. This article presents the case study of the acoustic properties of the National Library of Technology (NTK), built in 2009, visited by more than 2000 users daily. From the acoustic point of view, these are coupled spaces, with horizontally structured spaces, which allow for dividing the space into zones according to the function

We demonstrate a broadband high-efficiency acoustic absorber with subwavelength thickness. The acoustic absorber is based on meta-molecules can achieve near-perfect absorption. By adjusting structural parameters of meta-molecules, the acoustic absorber can offer absorption tenability within a wide frequencies range under a fixed thickness. Therefore, we can realize broadband and multiband absorption

Growing demands from applications like surveillance, archiving, and context-aware devices have fuelled research towards efficient extraction of useful information from environmental sounds. Assigning a textual label to an audio segment based on the general characteristics of locations or situations is dealt with in acoustic scene classification (ASC). Because of the different nature of audio scenes

In order to better understand the acoustic performance of composite structure open-cell aluminum foam at medium-frequency bands. In this paper, we propose a method that used the Radial Basis Function Neural Network to predict the sound absorption coefficient of the given structure at medium-frequency bands. The condition of the method is that the acoustic performance of composite structure open-cell

In the current study, geometric modifications in the form of trailing edge castellations are explored for the reduction of pipe-jet noise. The number of castellations determines the interaction between the streamwise vortices, which alters the sound produced. The noise levels in pipe-jets with and without castellations are compared by measuring the polar and azimuthal directivities. The parameters

The ability to acoustically cloak an object, effectively making the object acoustically invisible to an outside observer, is of interest in many applications where the presence of an object has an undesirable impact on the sound-field. If a suitable disturbance signal can be measured, an active control system can be used to directly minimise the scattered acoustic pressure, which fully characterises

This paper proposes a new robust learning strategy, which is based on a Weibull M-transform function. The suitability of the Weibull M-transform function as a robust norm has been investigated for different shape and scale parameters, and a Weibull M-transform least mean square (WMLMS) algorithm has been developed. Further, the bound of learning rate has been derived for the proposed algorithm. The

Uncertainty of the final results of room acoustic modelling is a result of uncertainties of many model input parameters, which have to be discovered and limited if possible. It can be done by model calibration. In this paper, a detailed procedure of room acoustic model calibration is proposed. It is based on detection and limitation of possible sources of discrepancies between measured and simulated

The field of data compression has been evolved over the last decades. In this way, several techniques to reduce the amount of acquired data from the sensor required to be transmitted have been developed. Those techniques are usually classified by lossless or lossy, where, for the lossless techniques, all acquired data is recovered, while the lossy techniques introduce errors to these data. Each of