We report a detection method of an acoustic source by the convolutional neural network (CNN) that utilizes analytic predictions of sound radiation. The analytic predictions with various source conditions are implemented to effectively collect a large-annotated training dataset, allowing straightforward utilizations of the CNN in the acoustic domain. The data conversion from the synthetic audio signals

In this paper, a new pipelined nonlinear spline adaptive filter (PNSF) is presented for the speech prediction application. The proposed architecture is essentially an improved pipelined cascade model, where each module consists of a FIR filter followed by a spline activation function. Based on minimum mean square error cost and stochastic gradient method, the on-line learning adaptive algorithms for

There is a general lack of publications on the acoustical and related non-acoustical properties of nanofibrous media. This work attempts to contribute to this gap and to highlight problems associated with acoustic and related non-acoustic characterisation of these materials. The work, presumably for the first time, applies Biot- and Darcy-type mathematical models to explain the observed acoustical

Quantitative ultrasound is a scientifically and clinically accepted diagnostic technique for assessing and predicting osteoporotic fracture risk. However, it does not provide a direct measurement of areal bone mineral density, and hence cannot implement the World Health Organization T score criteria for osteoporosis and osteopenia. In this study, we developed a novel method based on the concept of

The importance of classroom acoustic environment to students’ listening and learning has been widely realized, especially for second-language learning classrooms. An experiment has been carried out in this paper to study the effects of classroom reverberation time (RT) and traffic noise level (TNL) on English listening comprehension (ELC) for Chinese university students. A total of 12 combination conditions

Electric motors use about 68% of total generated electricity. Fault diagnosis of electrical motors is an important task, because it allows saving a large amount of money and time. An analysis of acoustic signals is a promising tool to improve the accuracy of fault diagnosis. It is essential to analyze acoustic signals to assess the state of the motor. In this paper, three electric impact drills (EID)

Depression is a mental disorder that continues to make life difficult or impossible for a depressed person and, if left untreated, can lead to dangerous activities such as self-harm and suicide. Nowadays, Electroencephalogram (EEG) has become an important diagnostic tool for many brain disorders. In this article, a new method for the detection of depression based on the reconstructed phase space (RPS)

The room impulse response (RIR) is important in most acoustic applications, such as the design of concert halls and sound field control, because it characterizes the sound propagation. The measurement of RIRs at multiple points is challenging, as it requires a huge microphone array or repeating the experiment by microphone replacement. Several RIR interpolation and extrapolation methods of RIRs have

Deep learning models do not perform well if they are not trained for the acoustic conditions under which they have to operate. Due to this reason, the neural network based speech separation models specifically designed for anechoic conditions do not perform well in reverberant conditions. As training a deep neural network is a lengthy and computationally expensive process, training it every time for

Previous studies indicate that acoustic improvements at classroom-level, such as using ceiling panels, do not work well to solve noise problems in classrooms. Therefore, this study introduced a new way – individual control – to improve classroom acoustics. The acoustic effect of five different classroom settings is simulated: two individual-level acoustic improvement settings (“Single-sided canopies”

The sound quality of a range hood is one of the most common complaints from consumers. As a supplement to sound power target, sound quality evaluation and prediction describes subjective feeling more suitably. It is proved that conventional sound quality model is able to predict sound quality accurately. However, the conventional model does not offer practical strategies for the design of a range hood

A semi-analytical method is developed for vibration and acoustic analysis of a submerged ring-stiffened cylindrical shell coupled with arbitrary inner structures. The whole structure is firstly disassembled into the stiffened cylindrical shell and inner structures, which are respectively analyzed through analytical substructure method and numerical approach. For the analytical substructure method,

A novel method to identify the viscoelastic parameters of underwater anechoic coating has been proposed in this present study. Based on two sets of measured reflection coefficients, the viscoelastic parameters can be identified by using the combination of finite element method and Newton's iterative method. The identification method is used to obtain the viscoelastic parameters of polyurethane, and

In a recent work by the authors, an optimal sound absorber with a compact scale consisting of multiple inhomogeneous Helmholtz resonators with extended necks (HRENs) was designed and demonstrated for effective sound absorption in a prescribed frequency range. The development of HREN-based absorber provides a promising potential for sound absorption in a compact dimension. The present study aims to

The vehicle door seal strip has complex dynamic characteristics and is a critical component in the vibration and sound transmission of the vehicle system. However, in noise, vibration, and harshness (NVH) analysis, the seal strip is commonly simulated as a linear spring model, which results in inaccurate vibration and sound prediction. Thus, it is necessary to propose an alternative model, which allows

Reduction in sound transmission through walls and ceilings, particularly at lower frequencies, is important both because of ongoing growth in noise pollution and the challenges faced in providing good sound insulation with existing construction methods. Mechanical metamaterials can help address these challenges by enabling the creation of an artificial medium that produces significantly greater attenuation

The communication in teleconferencing systems is influenced by acoustic echo and noise signals. Several techniques have been proposed, such as the blind source separation (BSS) that has recently been integrated with adaptive filtering algorithms to reduce the acoustic noise. This combined technique can be used to extract the speech signal from only the mixed noisy signals alone. In this present study

Rupture of intracranial aneurysm without any warning is very likely in asymptotic patients and high rate in rupture risk brings the necessity of development and utilization of high-resolution imaging modalities. Here, the assessment of scanning acoustic microscopy (SAM) in identifying cerebral aneurysm, is done. The aneurysm’s dome samples, obtained from 6 male and 6 female patients with and without

Reliable detection technology of gas and vapor filled bubbles in fluid media is of paramount importance for many medical and industrial processes. In this work we present an acoustic bubble detection technique. A single element transducer device simultaneously performing as projector and receiver capable of generating well-controlled low frequency standing pressure waves in a resonant acoustic glass

In recent years, the rapid development of information and communication technology (ICT) and the influence of the novel coronavirus (COVID-19) have affected our lives and work in various fields such as medical and welfare, construction and manufacturing and education, etc. With this global background, teleconference systems have received attention and become a new trend. However, the acoustics of rooms

While scholars have copiously explored different aspects of Transit-Oriented Developments (TODs) over the last decades, the literature falls short on examining their noise implications. This study examines the planning, transportation, and environmental implications of noise in the Dallas-Fort Worth metropolitan area by performing geostatistical analysis for various mapping. These maps include a broad

Noise-induced hearing loss (NIHL) is a serious problem in occupational environments; however, there is little information about hearing loss due to combined exposure to noise and vibration. This study aimed to investigate the combined effects of exposure to noise and whole-body vibration (WBV) on hearing responses under simulated heavy equipment driving conditions. A repeated measures study was designed

Noise annoyance is widely recognized as an expression of psychological strain in acoustic environments. It is closely related to the cognitive capability, risk perception, and decision-making ability of workers and can lead to unsafe behavior and unsatisfactory work performance. Considering the unique working properties and environment, a shield tunneling machine driver should maintain a healthy mental

The use of pile driving techniques in urban environments demands accurate methods to predict and mitigate the potential discomfort of residents of neighboring buildings. In this context, a numerical model to predict ground-borne noise and vibrations in buildings induced by pile driving is proposed in the present paper. The model is based on a sub-structuring approach, in which the entire propagation

Steam explosion is a useful method to soften and dimensionally stabilizing wood. The effects of steam explosion at low pressure (6 bar) on wood cell walls are characterized by Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), field emission scanning electron microscope (FESEM), capillary flow porometry and two-microphone transfer function. The average sound absorption coefficient

Porous materials are widely used for noise control treatments. Sound-absorb cotton is commonly used in the transportation industry such as automobiles and airplanes because of its excellent sound absorption performance. In this paper, two typical acoustical models were used to evaluate the sound absorption coefficient of sound-absorb cotton. By comparing the measurement results with those of acoustical

One of the reason for which the split type air-conditioner (AC) is preferred over window mounted air-conditioner is low noise. However, the outdoor unit of split type AC produces significant noise predominantly in low frequency regime and typically below 200 Hz. The sonic crystal, which is found suitable for outdoor noise control, is endeavored for attenuating the noise of outdoor unit of split type

The sound insulation of bulkhead walls and the dynamic stiffness of resilient core materials were investigated. Bulkhead panels are expected to be lightweight, stiff, and good sound insulation, i.e., exhibiting features that are usually incompatible. The research aimed to investigate how different panel components influence the acoustic performance, examine the various effect of a core, and face modifications

Melanoma could be extremely lethal due to its high invasiveness and rapid proliferation, which causes thousands of deaths worldwide every year. Because of the resistance of melanoma to chemo/radio/immunotherapy, effective treatment of melanoma remains a clinically unsolved puzzle. Some efforts have been made to utilize ultrasound (US) to control the migration of melanoma cells, but the underlying mechanism

Squeal noise of rail-bound vehicles frequently occurs in curves with a small radius and is a major nuisance for transport users and local residents. For the quantification of squeal intensity, a complete vibro-acoustic analysis is developed in this paper. This complete analysis requires time-domain analysis able to introduce non linearities leading to obtain dynamic saturation at the contact zone and

Background Heart valve diseases are commonly seen ailments, and many people suffer from these diseases. Therefore, early diagnosis and accurate treatment are crucial for these disorders. This research aims to diagnose heart valve diseases automatically by employing a new stable feature generation method. Materials and method This research presents a stable feature generator-based automated heart diseases

In this paper, we formulate a blind source separation (BSS) framework, which allows integrating U-Net based deep learning source separation network with probabilistic spatial machine learning expectation maximization (EM) algorithm for separating speech in reverberant conditions. Our proposed model uses a pre-trained deep learning convolutional neural network, U-Net, for clustering the interaural level

The cutting of wood is proceeded at high feed speed of material and high cutting speed of the circular saw blades. The cicular saw blades teeth rotate in outer ambient and thus are source of noise with unadvisable effects on working environment. The paper presents the results of the measurement of the noise level of three structuraly different circular saw blades. The types of the circular saw blades

Automatic speech emotion recognition using machine learning is a demanding research topic in the field of affective computing. Identifying the speech features for speech emotion recognition is a challenging issue as the feature needs to emphasize the information about emotion from the speech. Spectral features play a vital role in emotion recognition from speech signals. In this paper, two modifications

The paper demonstrates improved structural low-frequency vibroacoustic performance of cross-laminated timber (CLT) floor panels by informed selection of the wood material. The use of wood species and strength classes that are not traditionally assigned to CLT panels was investigated in order to study their influence on dynamic characteristics and vibroacoustic response metrics. The potential of each

Impulsive audio events such as gunshots, explosions or glass shattering, are commonly associated with security threats, thus they are of particular interest for automated acoustic surveillance. Even though impulsive audio events are greatly influenced by their propagation path, little work has been done in multichannel detection, and most precedents available in the literature deal with single-channel

In this paper, a thin meta-structure with several detuned multi-order micro-perforated panels with backing cavity (MPPB) for sound absorption is proposed, aiming to obtain broadband underwater sound absorption at low frequency. The MPPBs are designed with the method that inserting several micro-perforated panels into the origin backing cavity. In doing so, more sound absorption peaks can be obtained

The ongoing pandemic caused by the COVID-19 virus is challenging many aspects of daily life. Several personal protective devices have become essential in our lives. Face protections are mostly used in order to stop the air aerosol coming out of our mouths. Nevertheless, this fact may also have a negative effect on speech transmission both in outdoor and indoor spaces. After a severe lockdown, classes

Building an automatic speech recognition (ASR) system for children is a very challenging problem especially when the domain-specific data for training is absent or insufficient. In this paper, we present our efforts towards developing a children’s ASR system in Punjabi which a low-resourced language. To begin with, since speech data from children in the case of the Punjabi language is unavailable,

This research presents an application of the additive manufacturing (AM) technology for active acoustic absorption device. Fabrication of functional devices in acoustic system is one of the challenging goals of additive manufacturing technology. In order to achieve this objective, an important step is to test the acoustic performance and characteristics of AM device and make it active from an acoustics

Sound diffusion is a very important parameter in an overall assessment of the quality of an auditorium. This is why, the use of sound diffusers, especially sound phase diffusers, has been gaining more and more popularity. The most common structures are PR and QR diffusers. However, it was noted that the diffusers should be designed not only based on their diffusion and scattering coefficients, but

Wind-induced microphone noise complicates infrasound measurements considerably. A wind-shielding dome for signal-to-noise ratio improvement of acoustic pressure infrasound frequencies was designed and tested. The semi-spherical shape aimed at maximizing the pressure averaging of large atmospheric turbulent eddies while keeping the structure reasonably compact. The insertion loss of the dome was measured

The sound strength parameter G is one of the most important objective parameters related to the acoustical quality of concert halls, opera houses, and chamber music halls. G at mid frequencies is highly correlated with the acoustic quality reported by music conductors and subjects with musical training. Measuring this parameter requires a calibrated sound source or the direct sound isolated using a

We designed a composite loaded sound absorber (CLSA) composed of a sub-wavelength Helmholtz resonator and porous material, which was loaded on the side branches of a rectangular tube. Based on the transfer matrix method, an equivalent acoustic model was established to calculate the acoustic performance of the absorber. According to the equivalent acoustic model and critical coupling theory, a loaded

Wave phenomena that occur inside the intake manifold can either increase or decrease the volumetric efficiency of internal combustion engines. In this paper, numerical and experimental studies were performed to investigate the influence of intake manifold system components such as a Helmholtz resonator, plenum, and primary and secondary pipes on the air mass flow rate through the intake manifold. In

The quality of the sonic environment in major cities is becoming increasingly important owing to growing concerns regarding noise pollution and the need to preserve the soundscape as intangible cultural heritage. The objective of the present study is to demonstrate the use of a smartphone as a platform to collect sound data and generate a sound map based on soundwalks in major European cities. The

This study investigates the wave dissipation properties of continuous metamaterial beam structures with embedded inerter-based devices and possible negative-stiffness elements. The vibration attenuation performance of using inerters is evaluated by examining the system frequency response functions and the propagating wave damping ratios. The results show that the response amplitude can be significantly

In this paper, Resonance Ultrasound Spectroscopy (RUS) is used to invert the elastic properties of components with complex shapes from a limited selection of mode matched frequencies. RUS is based on the unique relationship between the vibrational resonance response (resonance frequencies and mode shapes) of a component and its set of material properties, geometry, and boundary conditions. The study

Passive recognition of underwater acoustic targets is a hot research issue in acoustic signal processing. The long-term interference of irregular noise in the marine environment caused the relevance of the passive recognition method of underwater targets based on the traditional technical framework to gradually decrease. Due to the interference of irregular noise in the ocean, the passive recognition

The construction of new buildings very close to existing tracks, with heavy commuting traffic, requires careful design. Such projects must be accompanied with noise and vibration reduction measures. The practical case here considered has been analysed by first assessing the existing situation prior to construction (type of soil and traffic). In a second stage, we have proposed and quantified solutions

Two-dimensional wave propagation in an aluminium strip is examined experimentally, analytically, and numerically in this paper. The high-frequency pulse is generated by a piezoelectric transducer, and the velocity component normal to the strip edge is measured by the non-contact vibrometer system. In-plane waves are then investigated under plane stress conditions using the analytical method based on

This paper presents a stochastic description and evaluation of the ocean acoustics signal for the interpretation of the signal in the frequency domain in order to estimate the modal frequency and dispersion curves of the ocean acoustics signal. Thus, this investigation considered the analysis and simulation of an ocean acoustics time-series in the frequency-domain where the signal in the time-domain

One of the common ways to increase the energy performance of existing buildings is to add a thermal insulation layer to their façade elements, which in turn is covered by a thin protecting cement plaster. Such an arrangement is commonly known as External Thermal Insulation Composite System (ETICS). This article studies the effect of an ETICS implementation induced mechanical resonance mechanism, which

Iwan masjids (mosques) represent a milestone in the history of masjid architecture. This style was very common in the Mamluk state, which ruled Egypt between 1250 and 1517 CE. Due to its historical value, the present work investigates the effects of the architectural features of these masjids (closed and semi-closed) on their acoustic characteristics. Twenty masjids (9 semi-closed and 11 closed) were

The multiple coherence is a spectral analysis tool allowing the estimation of the contribution of several, possibly partially, coherent inputs to one or several outputs. This type of analysis can be conducted using a waterfall substraction approach (Conditioned Spectral Analysis framework) or using an eigenvalue analysis of the input correlation matrix (Virtual Source Analysis approaches). Those techniques

The acoustic signals throughout the cabin of a regional turbo-propeller driven airplane were measured during a cruise flight. To that end, the noise power at the front and rear of the cabin are obtained in the scale of one-third octave-band. Furthermore, the sound pressure signals are acquired at 5 positions within the cabin. In order to determine the noise characteristics and key contributing factors

The application of the turbulent boundary layer trailing edge (TBL-TE) noise component of the semi-empirical Brooks-Pope-Marcolini (BPM) model in an axial flow fan case study is presented herein. The spanwise distribution of the strength of the emitted TBL-TE noise was estimated using the model for various rotational speeds, taking inlet axial velocity profile measurements and two-dimensional (2D)

This paper presents an enhanced artificial neural network (ANN) model for predicting the liking of food using the Harris Hawks optimiser (HHO) in the presence of different masking background noise types and levels, relative to the ambient background noise (i.e. no noise conditions). The results showed that the proposed model can predict the relative liking food ratings with higher performance (R2 = 0