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عنوان فارسی مقاله:
چارچوب پایتون برای پردازش داده آرایه میکروفون
عنوان انگلیسی مقاله:
A Python framework for microphone array data processing
سال انتشار : 2017
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مقدمه انگلیسی مقاله:
1. Introduction
The design of low-noise machinery and vehicles requires analyzing the sources of sound. Information on the characteristics of any sound sources is necessary to find measures to reduce the generation of sound or its propagation. This includes the location and strength of the sources as well as their frequency content. Often, this information is only available through experimental analysis, either on the machine or vehicle itself or on specially designed laboratory setups of noise generating machinery parts. The necessary acoustical measurements can generally be performed using standard equipment such as a microphone, sound level meter or analyzer. However, this approach makes it difficult to reliably characterize sound sources in the case of multiple sound sources, which is a very common scenario. In such a case, the results are dominated by the strongest source and expensive experimental procedures are needed to get separate results for each source. One solution for this problem is the application of a microphone array, where a number – some ten to some hundred – of microphones is used simultaneously to characterize multiple sound sources at the same time. This is done by computing acoustic source maps (often referred to as acoustic photographs) from the output signals of the microphones. Then, location, strength, and spectrum of the sources can be estimated from these maps. A number of different methods are available for the computation of acoustic source maps. These methods either rely on the direct simultaneous processing of a large number of timedependent microphone signals, or they perform the computation in the frequency domain after having transformed the signals accordingly into cross power spectra. Both kinds of methods are computationally demanding and require considerable computer resources. Some of the methods need to solve huge systems of equations, while others need to deal with large-scale optimization problems. The methods have different properties and deliver results of different kind and quality. Depending on the specific acoustic source characterization task, different methods may be appropriate. Consequently, the practical application of microphone arrays benefits from the uncomplicated availability of different methods. While a larger number of publications on the methods themselves is available, the implementation of the methods is less often discussed. To the knowledge of the authors, no software is publicly available to date that implements more than a few of these methods. The available commercial software products are generally bound to a specific vendor’s measuring and data acquisition hardware. Moreover, available software codes are not focused on the extensibility with new or modified methods. The present contribution introduces Acoular, an open source Python library [1] that was published under the terms of the new BSD license and is available for all major operating systems. The library is aimed at applications in acoustic testing where sources of sound need to be characterized. Its design is objectoriented and it is intended to be easily extensible with the incorporation of new methods. Further design goals are computational efficiency and easy application. This concept makes it possible to apply the library for education and for research on methods for sound source characterization. Further, Acoular can be used to effi- ciently handle applications of industrial size, where larger numbers of measurements need to be analyzed.
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کلمات کلیدی:
Robust adaptive processing of microphone array data for hearing aids ... ieeexplore.ieee.org/document/379992/ by MW Hoffman - 1993 - Cited by 2 - Related articles The problem of adaptively combining the outputs of an array of microphones as a single input for a hearing aid is investigated. A robust processor based on. [PDF]Microphone Arrays : A Tutorial www.aplu.ch/home/download/microphone_array.pdf by I McCowan - 2001 - Cited by 42 - Related articles to microphone array speech processing. A microphone array ..... To examine the physical significance of key values of αx we consider the horizontal directivity ... Microphone array - Wikipedia https://en.wikipedia.org/wiki/Microphone_array A microphone array is any number of microphones operating in tandem. There are many ... signal processor) processing of the signals from each of the individual microphone array elements can create one or more "virtual" microphones. Advanced Processing of Microphone Array Data for ... - HEAD acoustics https://www.head-acoustics.de/downloads/messen/Array_abstract.pdf by S Guidati Advanced Processing of Microphone Array Data for Engineering Applications. S.Guidati. HEAD acoustics GmbH. Ebertstrasse 30a, 52134 Herzogenrath, ... LOUD: Large acOUstic Data Array Project groups.csail.mit.edu/cag/mic-array/ The LOUD (Large Acoustic Data Array) is a novel 1020-node microphone array utilizing the Raw tiled-processor architecture (TPA) for computation. The LOUD ... Microphone Array Presentations | NIST https://www.nist.gov/information-technology.../iad/.../microphone-array-presentations by T Allen - 2016 Feb 29, 2016 - Obsolete version (v1) of the Mk-III Microphone Array. ... four channels as a UDP packet stream via Ethernet a Data Flow Client for processing. =Microphone Array= | mbed https://developer.mbed.org/users/nleoni/notebook/microphone-array/ Mar 26, 2014 - Build a processing platform for microphone array data processing. ... pair of microphones in the array to detect the delay between the waveform ...
