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Cutting tool is an important part in machining processes which in its operation frequently runs into wear. The wear cutting tool produces imprecise product with low quality surface, may endanger machine tool by stimulating chatter. In this study, low cost and fast analysis of the wear of cutting tool in turning and drilling processes are proposed. For that purpose, the experimental set-up which consist of operating turning and drilling machine, simple microphone and personal computer (PC) with sound card are set out. The wear of cutting tools are made by applying artificial wear. The sound data from normal and wear cutting tools of operating turning and drilling machines are recorded by using simple microphone and PC with sound card. The obtained sound signals are then analyzed in form of time and frequency domain, spectrogram by Wavelet Transform (WT). It is found that sound signals in time and frequency domain have significant rise of amplitudes in wear condition. The spectrograms exhibit the special contours which sign the existence of wear. The results demonstrate that the proposed method can analyze the cutting tool wear very well.