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Noise Adaptive Feature Matching (NAFM) method

Improve matching accuracy

One of the major problems with matching measured signals to model signals is that the matching effectiveness can be badly compromised in the presence of noise in the measured signal. The NAFM method operates on statistical features of the signals, rather than the actual waveform shapes of the signals. The NAFM method can deliver a significant improvement in matching accuracy, particularly when large or varying amounts of noise are present in the measured signal, as is typical with the use of voice biometrics for mobile consumer devices.

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