Avishai Elazar

Bio: Avishai Elazar is an academic researcher from NICE Systems. The author has contributed to research in topics: Telephone line & Call control. The author has an hindex of 1, co-authored 1 publications receiving 293 citations.

Telephone call monitoring system

Abstract: A method for monitoring agent telephonic interactions with customers, the method including a) receiving a CTI datum associated with a telephone call between an agent and a party, b) determining whether the telephone call is to be recorded by determining whether the CTI datum meets at least one predefined monitoring condition, and, if so, c) recording at least a portion of the telephone call.

Personal Virtual Assistant

Abstract: A computer-based virtual assistant includes a virtual assistant application running on a computer capable of receiving human voice communications from a user of a remote user interface and transmitting a vocalization to the remote user interface, the virtual assistant application enabling the user to access email and voicemail messages of the user, the virtual assistant application selecting a responsive action to a verbal query or instruction received from the remote user interface and transmitting a vocalization characterizing the selected responsive action to the remote user interface, and the virtual assistant waiting a predetermined period of time, and if no canceling indication is received from the remote user interface, proceeding to perform the selected responsive action, and if a canceling indication is received from the remote user interface halting the selected responsive action and transmitting a new vocalization to the remote user interface. Also a method of using the virtual assistant.

Sharing a streaming video

Abstract: A video segment can be shared over a computer network by first receiving the video segment at a receiving computer on the network. The receiving computer assures that the video segment is in a streaming video format, and creates at least one identification tag for the video segment. The receiving computer also stores the video segment, and communicates the identification tag to another computer on the network. Upon subsequent receipt of that identification tag, the receiving computer streams the video segment to a destination computer on the network.

Detecting emotions using voice signal analysis

Abstract: A system and method are provided for detecting emotional states using statistics. First, a speech signal is received. At least one acoustic parameter is extracted from the speech signal. Then statistics or features from samples of the voice are calculated from extracted speech parameters. The features serve as inputs to a classifier, which can be a computer program, a device or both. The classifier assigns at least one emotional state from a finite number of possible emotional states to the speech signal. The classifier also estimates the confidence of its decision. Features that are calculated may include a maximum value of a fundamental frequency, a standard deviation of the fundamental frequency, a range of the fundamental frequency, a mean of the fundamental frequency, and a variety of other statistics.

Telecommunication call management and monitoring system with voiceprint verification

Abstract: A secure telephone call management system is provided for authenticating users of a telephone system in an institutional facility. Authentication of the users of the telephone call management system is accomplished by using a personal identification number, biometric means, and/or radio frequency means. The secure telephone call management system includes accounting software capable of limiting access to the system based on funds in a user's account, and includes management software capable of implementing widespread or local changes to the system. The system monitors a conversation in the telephone call to detect a presence of a first characteristic in audio of the conversation, and terminates the telephone call if the first characteristic does not match a second characteristic of biometric information of a user or a called party.

Method of and apparatus for improving productivity of human reviewers of automatically transcribed documents generated by media conversion systems

Abstract: An apparatus for improving productivity of human reviewers of transcribed documents generated by media conversion systems includes a server/client network of computers, memories and file systems. The server receives and stores voice files created by users of the system. The server is configured for coupling to a speech-to-text media conversion system to receive converted text files of the audio voice files. The server analyzes the converted text files and routes the converted files to the appropriate reviewers according to an adaptive algorithm. The converted files are displayed on the assigned reviewer's screen at the reviewer's workstation. To aid the reviewer in pinpointing potential errors, the workstation displays different segments of the converted files in different colors to reflect different confidence levels of transcription accuracy. Portions of the original voice message that correspond to the potential errors are played back for the reviewer. The reviewers' workstations also perform productivity enhancing functions such as spelling and grammar checking. After the reviewer has made all the necessary corrections, the reviewed files are transmitted back to the server to be stored and accessed by the users. A user database in the server is also updated to store recurrent user-specific errors corrected by the reviewer. A language analysis system is also disposed to adaptively correct user-specific errors in future reviews according to the information in the user database.