Content recognition for telephone monitoring

Stanley J. Wenndt; David M. Harris; Edward J. Cupples

doi:10.1117/12.417542

21 February 2001 Content recognition for telephone monitoring

Stanley J. Wenndt, David M. Harris, Edward J. Cupples

Proceedings Volume 4232, Enabling Technologies for Law Enforcement and Security; (2001) https://doi.org/10.1117/12.417542
Event: Enabling Technologies for Law Enforcement, 2000, Boston, MA, United States

Abstract

This research began due to federal inmates abusing their telephone privileges by committing serious offenses such as murder, drug dealing, and fraud. On average, about 1000 calls are made per day at each federal prison with a peak of over 4000. Current monitoring capabilities are very man- intensive and only allow for about 2-3% monitoring of inmate telephone conversations. One of the main deficiencies identified by prison officials is the need to flag phone conversations pertaining to criminal activity. This research looks at two unique voice-processing methods to detect phone conversion pertaining to criminal activity. These two methods are digit string detection and whisper detection.

Citation Download Citation

Stanley J. Wenndt, David M. Harris, and Edward J. Cupples "Content recognition for telephone monitoring", Proc. SPIE 4232, Enabling Technologies for Law Enforcement and Security, (21 February 2001); https://doi.org/10.1117/12.417542

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