Abstract: The method includes receiving a plurality of calls from users of the communication network, the plurality of calls having a non-homogenous arrival rate that is defined by first arrival rate information, transforming the first arrival rate information into second arrival rate information, the second arrival rate information having a homogenous arrival rate, and detecting at least one first anomaly of the received plurality of calls using the second arrival rate information. A network node may be configured to perform this method.

Abstract: The method includes receiving a plurality of calls from users of the communication network, the plurality of calls having a non-homogenous arrival rate that is defined by first arrival rate information, transforming the first arrival rate information into second arrival rate information, the second arrival rate information having a homogenous arrival rate, and detecting at least one first anomaly of the received plurality of calls using the second arrival rate information. A network node may be configured to perform this method.

Abstract: Digital Cellular telephony requires voice compression designed to minimize the bandwidth required for the digital cellular channel. The features used in speech recognition have similar components to those used in the vocoding process. The present invention provides a system that bypasses the de-compression or decoding phase of the vocoding and converts the digital cellular parameters directly into features that can be processed by a recognition engine. More specifically, the present invention provides a system and method for mapping a vocoded representation of parameters defining speech components, which in turn define a particular waveform, into a base feature type representation of parameters defining speech components (e.g. LPC parameters), which in turn define the same digital waveform.