The noise robustness of an audio fingerprinting system is one of the most important issues in music information retrieval by the content-based audio identification technique. In a real environment, sound recordings are commonly distorted by channel and background noise. Recently, Philips published a robust and efficient audio fingerprinting system for audio identification. To extract a robust and efficient audio fingerprint, Philips applied the first derivative (differential) to the frequency-time sequence of the perceptual filter-bank energies. In practice, however, the noise robustness of Philips' audio fingerprinting scheme is still insufficient. In this paper, we introduce an extension method of the audio fingerprinting scheme for the enhancement of noise robustness. As an alternative to frequency filtering, a type of band-pass filter, instead of a high-pass filter, is used to achieve robustness to background noise in a real situation. Our experimental results show that the proposed filter improves the noise robustness in audio identification.

In this paper, we propose a two-step TDC with phase-interpolator and time amplifier to satisfy high resolution at 2.4 GHz input frequency by implementing delay time less than that of an inverter delay. The accuracy of phase-interpolator is improved for process variation using the resistor automatic-tuning circuit. The gain of time amplifier is improved using the delay time difference between two delay cells. It is implemented in a 0.13 µm CMOS process with a die area of 0.68 mm2. And the power consumption is 14.4 mW at a 1.2 V supply voltage. The resolution and input frequency of the TDC are 0.357 ps and 2.4 GHz, respectively.