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Vehicle Sounds and Recognition

  • D. W. Thomas

Abstract

The acoustic waveform that is of interest in the processing described in this chapter is obtained by recording the noise from a vehicle under normal operating conditions; it is a complex signal in which the characteristics of the engine, the exhaust system, the bodywork, and the environment are all intermingled. This is shown diagrammatically in Fig. 13.1 from which it can be seen that the task of classifying vehicle noises requires the selection from the total waveform of that part of the information relevant to the particular classification required. Two tasks that are of interest are:
  1. 1.

    The “recognition” between different types of vehicles (e.g., rollers and wheeled, petrol and diesel, etc.).

     
  2. 2.

    The “identification” of a particular engine in a variety of environments, compared with other engines also in different bodyworks and environments.

     

Keywords

Power Spectrum Acoustic Signal Central Moment Exhaust System Firing Period 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Bright, K. O., and Thomas, D. W., 1975, Vehicle acoustics and homomorphic filters, Proceedings of the Digital Signal Processing Conference, Institute di Ricerca sulle Oude Electromagnetiche del C.N.R. Italy.Google Scholar
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Copyright information

© Plenum Press, New York 1978

Authors and Affiliations

  • D. W. Thomas
    • 1
  1. 1.Department of ElectronicsUniversity of SouthamptonSouthamptonEngland

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