Abstract: A method for improving the recognition confidence of alphanumeric spoken input, suitable for use in a speech recognition telephony application such as a voice response system. An alphanumeric candidate is determined from the spoken input, which may be the best available representation of the spoken input. Recognition confidence is compared with a preestablished threshold. If the recognition confidence exceeds the threshold, the alphanumeric candidate is selected to represent the spoken input. Otherwise, present call data associated with the spoken input is determined. Call data may include automatic number identification (ANI) information, caller-ID information, and/or dialed number information service (DNIS) information. Information associated with the alphanumeric candidate and information associated with the present call data are correlated in order to select alphanumeric information that best represents the spoken input.

Abstract: In a call center with automatic answering, the availability of an agent is verified in order to prevent open connections when the agent unexpectedly leaves his or her station and fails to give proper notice. Verification may be provided by sensing speech activity of the agent when greeting a calling party or in response to an incoming-call signal. In other embodiments, verification may be provided by checking an audio device allocated to the agent, for example checking whether the agent is wearing his or her headset, or whether the headset is operably connected to the call center.

Abstract: A method for improving the recognition confidence of alphanumeric spoken input, suitable for use in a speech recognition telephony application such as a voice response system. An alphanumeric candidate is determined from the spoken input, which may be the best available representation of the spoken input. Recognition confidence is compared with a preestablished threshold. If the recognition confidence exceeds the threshold, the alphanumeric candidate is selected to represent the spoken input. Otherwise, present call data associated with the spoken input is determined. Call data may include automatic number identification (ANI) information, caller-ID information, and/or dialed number information service (DNIS) information. Information associated with the alphanumeric candidate and information associated with the present call data are correlated in order to select alphanumeric information that best represents the spoken input.

Abstract: In a call center with automatic answering, the availability of an agent is verified in order to prevent open connections when the agent unexpectedly leaves his or her station and fails to give proper notice. Verification may be provided by sensing speech activity of the agent when greeting a calling party or in response to an incoming-call signal. In other embodiments, verification may be provided by checking an audio device allocated to the agent, for example checking whether the agent is wearing his or her headset, or whether the headset is operably connected to the call center.

Abstract: A method for improving the recognition confidence of alphanumeric spoken input, suitable for use in a speech recognition telephony application such as a voice response system. An alphanumeric candidate is determined from the spoken input, which may be the best available representation of the spoken input. Recognition confidence is compared with a preestablished threshold. If the recognition confidence exceeds the threshold, the alphanumeric candidate is selected to represent the spoken input. Otherwise, present call data associated with the spoken input is determined. Call data may include automatic number identification (ANI) information, caller-ID information, and/or dialed number information service (DNIS) information. Information associated with the alphanumeric candidate and information associated with the present call data are correlated in order to select alphanumeric information that best represents the spoken input.