Abstract: A system and associated methods for implementing a methodology for performing a disambiguation of extracted data, such as entities in a textual version of a conversation. The method enables a general-purpose entity extractor to be adapted for use with contextual information such as a domain specific field and to be able to do so without additional retraining. This enables a user to extract data and associate it with a label, field name, or other indicator of context or meaning. The association of the extracted data to the indicator of context or meaning may assist in the processing of a conversation, navigation of conversation, interpretation of a field value, or another similar task.

Abstract: Systems, devices, and methods for determining whether a segment of speech was generated by a human or by a machine, such as a robotic voice that is synthesized and used as part of an IVR system. The disclosed approach can be used to assist in implementing a process to automate the detection of the start and end of a hold time during a call to a call center and in response execute a desired action.

Abstract: Systems, devices, and methods for more effectively and accurately determining when a participant in a call or similar form of communications session that has placed their channel into an on-hold state ends the on-hold state, and the call or communication session returns to an active mode. In some embodiments, an on-hold state may be indicated by the playing of music and/or a message on the channel placed into that state.