Abstract: Methods and systems are provided for using voiceprint technology in CALEA surveillance. A media-analysis platform receives packets from a bearer element, the packets comprising media data representing a copy of at least part of a real-time media session. The bearer element is configured to initially send to the platform a copy of each of a plurality of media sessions that traverse the bearer element, and to stop sending a copy of a particular session in response to receiving an instruction from the platform. Responsive to receiving the packets, the platform compares the media data to at least one media-data profile, where each profile is associated with a target of surveillance. The platform determines whether the data matches any of the profiles. If the data does not match any of the profiles, the platform sends an instruction to the bearer element to stop sending the copy of the session.

Abstract: Methods and systems are provided for natural-language surveillance of packet-based communications. Speech data is received, representing at least part of a speech session. The speech data is compared with at least one speech-characteristics profile in an automated manner. The comparing step comprises using natural-language-processing (NLP) to compare the speech data with the profiles on at least one of a lexical level, a syntactic level, a semantic level, a discourse level, and a pragmatic level. It is determined in an automated manner whether the speech data matches any of the profiles. If the speech data matches at least one profile, an indication that the speech data matches the at least one matching profile is responsively stored.