Introduction
Nowadays, the quality of sound is now the great concern of the problem of cars in acoustics. A lot of studies about this topic have been examined, but the requirement of developing the quality of sound of the passengers of cars is ascending. In improving the quality of sound in the passenger cars, a lot of sources of noise should be taken into consideration and the feeling of the humans to the noise is also one factor to consider. Lessening the noise and the vibration of the sounds has been long an aim for the development engineers. The quality of sound from the machines may vary and it is now in a clearer view to study the sounds using the raven interactive sound analyzer. The issues in the thickness of the sound of the engines or the machine and other kinds of aspects should be taken into account in the performance of the car (Gonzales et al., 2003).
The sound quality of the cars is becoming more essential especially when you are driving. A lot of acoustic problems have been solved for the cars but many fields are required to take before analyzing each point and coming up with a good conclusion for this kind of study. For the audio of automotive, the quality of sound for the interior noise should be appointed as the great factor for classifying the production quality. The treatments for the statistics have been attached to the analysis of sound quality and some known researchers for this field have been tried engineering the analysis in an actual manner using different sound analyzers. In the previous studies, the interior of the car and the level of the roughness have been lessened hypothetically. In the case of the sound analysis program that will be used in this paper, more accurate perceptions and keen analysis are required and more careful things should be considered (Yildrim et al., 1999).
The researchers have been tried to lessen the sound of the interior of the car by using the method of evaluation. More experiments were evaluated to know the ability of the active noise in the control systems to have good sound by the means of the interactive sound quality analyzer. Other studies about sound quality have been focused primarily on the estimation of the changes in the quality of noise through the verdicts in the comforting sense. There were two methods used in some experiments; the perceptive method according to the psychoacoustic parameters or the loudness, roughness, tonality, and the sharpness of the sound, and the subjective method using the tests of the jury. The results in the two methods have been connected to the characteristics of the spectral of the sounds before and after the organization. Thus positive effects were shown in the two analyses. It can be said that the subject developments firmly depend on the level of attenuation that was achieved by the noise control which is active and the spectral characteristics as well. Moreover, the interior noises of the cars then are calculated under the condition of road running, of course depending on the traveling speed of the car (Murata et al., 1993).
Most experiments concerning the quality of sound are comparatively safe except the danger which is not in a straight line connected with the sound as discussed in another place. On the other hand, it is probable for very deep sounds to enduringly smash up the ear, especially after a very long experience. As a result, in the manifestation described in this paper, the intensity of sound should always be held at a level well below the entrance of pain.
Discussion
The raven interactive sound analyzer is used in the experiment. The software to be used gives a powerful tool and also it is user-friendly for the researchers. It could also be a good teaching tool for scientists who work with acoustic signals. Raven software provides a high- end configurable views which have unparalleled flexibility in the illustrations of data.
In the experiment procedures, the software is set up using your personal computers. It is then ready for measuring and analyzing the sounds recorded in your file. The loudness and sharpness of the sound can be measured by the software and will be able to detect the spectral characteristics of the active noise of the car. The software can be used in the recording section, editing, and playback section (Gonzales et al., 2003).
With the use of the personal computer, to see the illustration of any window that is active, hold the Alt key and then press the Print Screen. The picture of the active window will then be copied on the clipboard. It is now ready to be pasted on the document that you have.
In the sound analysis program which is raven, go to the edit button and then copy the recorded file of the active noise of the car and it will then put the image on the clipboard. After that, paste the image onto your document. There is another helpful technique for putting graphs into emails, just follow the instruction: open your raven window, select file, move down and then export the recorded sound of the car or for example in the spectrogram window, select the desktop on the next pop up window and then name the file and choose.png files in the type box below. You will then send your email, attach the document or the file you have to the email. Anyway, a lot of applications can be open to using the file format used (Peterson et al., 1963).
In the experiment, the quality of the sound parameters was affected by the difference in the traveling speed of the car will be analyzed by the sound analyzer program which is the raven. The analysis of the frequency of the sound pressure is then presented in the sound analyzer and the desired variation represents the measured sound pressure level and the sharpness from the setup of the experiment. Different instances were tagged in measuring the loudness and sharpness of the car. The pressure of the sounds was used as the inputs for the network and the sharpness was then tagged as the output.
The analysis of the frequency was then transported out on the cars by their velocity. It could be perceived that the component of the frequency was prevailing in the car.
Conclusion
In this study, the quality of sounds which is evaluated by the raven interactive sound analyzer showed the measurement of the loudness and sharpness of the noise of the cars and its effect on the driving force of such vehicles. As can be observed, the preferred result of the experiment was known as the analysis of the waveforms produced by the illustrations seen on the raven window. The results can be acquired through the analysis of the sound of a car or the sound of the passenger vehicle and acquainting the sound to the sound analyzer which could give further information and views about the forms of sounds in the given object. The test and analysis will then propose the quality of the loudness and sharpness of the noise created by the cars. The recorded sound of the passenger vehicles that have been studied in the sound analyzing software shows the parameters for the sound quality. The connection between the sound pressure level and the parameter of the quality of sound is more accurate. The software used in the analysis of the sound, which is raven, can sense the target signals within a sound file that is used in the experiment. The raven software has the capability also to do some detection within the recording of actual scenarios, within sets of huge data, and also in the testing of interactive level for the parameter (Peterson et al., 1963).
References
Gonzalez A., Ferrer M, Diego M, Pinero G and Garcia-Bonito J.J. Sound quality of low-frequency and car engine noises after active noise control, Journal of Sound and Vibration 265 (2003), pp. 663–679.
Murata H, Tanaka H, Takada H and Ohsasa Y. Sound quality evaluation of passenger vehicle interior noise, Journal of SAE 931 (1993), p. 347.
Peterson, A.P.G and Gross, E.E Jr. Handbook of Noise Measurement, General Radio: Concord, Massachusetts (1963).
Yıldırım S, Uzmay I,. Kinematic analysis of cranes using neural networks, in: Proceedings of 16th IAARC/IFAC/IEEE International Symposium on Automation and Robotics in Construction, 1999, pp. 429–432.