A new approach to the evaluation of subjective perception of car engine noise is presented in this paper. It makes use of different Time Frequency (TF) methods that are applied to the calculation of some TF parameters of the noise signals, mainly related to energy variations. Once these parameters have been computed, they are linearly combined through a multiple regression model to describe the most important psychoacoustic features of the noises: loudness, sharpness and roughness. As a result, loudness and sharpness can be well defined by TF energies, whereas roughness needs a deeper study to elaborate new parameters that might fit it. A discussion about the ability of the different TF techniques to correlate with psychoacoustic metrics is also given.
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