Narrow-band interference cancellation for enhanced speaker identification

While the cepstrum feature has been widely used for speaker identification (SID), studies have shown that it can be sensitive to changes in environmental conditions. Many experiments have examined the effects of additive white Gaussian noise on the cepstral feature, but few, if any, have been conducted using additive narrow-band interference. Since such interference appears in an unpredictable fashion due to adverse signal environments or equipment anomalies in communication systems, it is important to understand its impact along with the affect of interference removal algorithms on SID performance. This paper examines two interference removal algorithms for enhancing SID performance. One is a simple notch filter suitable for tone removal. The other is a newly introduced method suitable for mitigating more general forms of interference, including interfering signals that can be modeled as being angle-modulated.