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In this Paper, the design of wide frequency range noise shield is presented. The noise suppression effect in the considered noise shield is achieved by increasing flexural rigidity of the planar glass plate, which is carried out by two means: first, by increasing the curvature of the plate, and, second, by attaching the macro fiber composite actuators on the plate surface and connecting them to the...
The traffic noise of developing countries in Southeast Asia were characterized by relatively high noise exposure levels. On the other hand, casement windows are widely used in those countries. However, these windows prove to be impermissible to noise level because the window ventilating slits serve as a direct pathway to allow traffic noise to enter the home. Presented here is a concept for manufacturing...
Although keyword spotting (KWS) technologies have been successfully applied to some applications, most KWS systems have a common problem of noise-robustness when applied to real-world environments. Audio-visual keyword spotting (AVKWS) using both acoustic and visual information is a solution to complementarily solve the problem. Most existing audio-visual speech recognition (AVSR) systems extract...
Speech recognition technology was applied to information collection of agricultural prices, with the acoustic models trained for agricultural prices information collection environment so as to minimize the environmental influence. Firstly, we constructed the speech corpus by collecting speech under the operating scene, and then selected tri-phone modeling as the decode unit to train hidden Markov...
Smartphones deploy multiple microphones to reduce background noise, reverberation and interferences. This paper presents the regulated Frost beamformer (REF) for acoustic gain enhancement and speech recognition improvement in smartphones. Conventional and adaptive beamformers were investigated with recourse to the acoustic transducer specifications of the Samsung Galaxy S2 device. The REF algorithm...
Condition Monitoring is the process of recognizing machine health status, by analyzing the various parameters of machine. For Acoustic Emission based condition monitoring, generally acoustic data needs to be taken from several positions and analyzed, which can be cumbersome and many times economically not viable. Thus there arises a need to define sensitive positions. Sensitive positions are positions...
TOFD (Time of Flight Diffraction), one of the most advanced technologies in the field of NDT (Nondestructive Testing), is widely used in science and industry to evaluate the properties of material, component or system without causing damage. Experiments on TOFD show that signal is greatly disturbed by the noise received by the receiving probe. Based on the performance analysis of four different kinds...
The present contribution is concerned with the design of a 3D real-time navigation system for minimally-invasive surgical interventions. We employ an absolute positioning system based on short range acoustic positioning technology together with an inertial navigation system. Both of the signals are fused using hybrid extended Kalman filtering in order to obtain a precise pose estimation of the surgical...
Spherical eigenbeamforming microphone arrays have become a subject of interest in recent years [1-6]. General beampattern design and implementation are simplified due to the decomposition of the soundfield into orthonormal spherical harmonic (SH) “building block” eigenbeams. Eigenbeams are then combined to realize the beamformer. In this paper we present a remarkably straightforward and computationally...
In this paper, we propose a formal methodology for tuning the parameters of a single-microphone speech enhancement system for hands-free devices. The tuning problem is formulated as a large-scale nonlinear programming problem that is solved by a genetic algorithm to determine the global solution. A conversational speech database is automatically generated by modeling the interactivity in telephone...
Domestic environments are particularly challenging for distant speech recognition and audio processing in general. Reverberation, background noise and interfering sources, as well as the propagation of acoustic events across adjacent rooms, critically degrade the performance of standard speech processing algorithms. The DIRHA EU project addresses the development of distant-speech interaction with...
This paper presents a localization solution for the study of tagged marine animals (sources) based on direction and Doppler measurements. The source localization, in 3-D, is supported by a Portable Underwater Robotic Tool (PURT), comprising a Ultra-Short Baseline (USBL) aided INS navigation system, carried by a diver (agent). Furthermore, a Surface Robotic Tool (SRT) provides the agent with its absolute...
Ultrasonic ranging device send out ultrasonic pulse for the measurement, the reflected acoustic wave is received by the device and changed into electrical signal by piezoelectric sensor; the distance is calculated according to the time different of sending and receiving. But there is noise in the echo acoustic wave that will affect the quality of the received signal, which will make the reading wrong...
In this paper, an empirical evaluation of acoustical signals for leakage detection and quantification in underground plastic pipes for main water distribution networks is presented. Several experiments have been carried out to collect acoustic signals generated from various leakage volumes. Upon signals analysis, it is noticed that the acquired signals are so weak and they are buried in the background...
The noise of motorcycle has characteristics of broad bandwidth, wide distribution, and large radiation area and so on, the traditional method of noise detection is difficult to identify the noise source accurately. In this paper, the holographic sound intensity has been proposed based on optimize and improve the traditional motorcycle noise sound intensity detection method. The experimental results...
This paper addresses the problem of automatic learning of statistical models of clicks for odontocete species classifications, particularly focusing on improving accuracy of the classifier by iteratively identifying click-like sounds that are likely to be noise and removing these from the model training set. The algorithm is weakly supervised in that no hand-labeled click regions are available, but...
When water flows through the measuring hydrophone and its cable quickly, pressure interference is produced. In this paper, sponge covering the hydrophone is used to isolate the impact of water flowing through the hydrophone and eliminate the burr noise in the signals. Results of the flow tests show that the sponge can effectively filter out the pressure interference caused by water flow, and of little...
In coastal areas, the properties of the soft sediment are crucial for sound propagation prediction and relevant sonar applications. The noise of intense ship traffic is a convenient acoustic source in these areas for geoacoustic characterization. This paper introduces a sequential particle filter (PF) technique that can take advantage of the continuous ship sound field to predict the soft sediment...
Numerical simulations of hydrodynamic noise are made based on the Large Eddy Simulation for both flow-induced noise and noise from the flow-induced vibration of shell and propeller of an underwater vehicle. All hydrodynamic noises are predicted by using Lighthill's acoustic analogy method, and their variation characteristics along the axial and transverse directions, the radiation directivity and...
We propose a method for robustly detecting and extracting repeated signal components within a source signal. The method is based on the recently introduced shift autocorrelation (shift-ACF) which outperforms classical ACF in signal detection if a signal component is repeated more than once. In this paper, we extend shift-ACF to analyze the spectral structure of repeating signal components by using...
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