Abstract: A system and method for remote speech recognition includes one or more customer premise equipment, a speech engine, and a communication engine. The customer premise equipment interfaces with a host from which the customer premise equipment is remotely located. The speech engine, remotely located from the host, recognizes a plurality of speech spoken by a user of the customer premise equipment and translates the speech into the language of the host. The speech engine further converts the recognized speech into one or more text data packets where the text data packets include the recognized speech as data instead of voice. The communication engine encrypts the text data packets and transmits the text data packets to the host. Transmitting data instead of voice to the host reduces the computational demands on the host. Additionally, the communication engine receives a plurality of information from the host.

Abstract: A method and system for error prevention and recovery of voice activated navigation through a menu having plural nodes provides situation dependent utterance verification by relating confirmation to utterance determination confidence levels. In one embodiment, a high confidence level results in implicit confirmation, a medium confidence level results in explicit confirmation and a low confidence level results in a concise interrogative prompt of a single word that requests the user to repeat the utterance. In situations where voice recognition is difficult, dual modality with DTMF navigation is provided as an option for menu selections.

Abstract: A system and method for remote speech recognition includes one or more customer premise equipment, a speech engine, and a communication engine. The customer premise equipment interfaces with a host from which the customer premise equipment is remotely located. The speech engine, remotely located from the host, recognizes a plurality of speech spoken by a user of the customer premise equipment and translates the speech into the language of the host. The speech engine further converts the recognized speech into one or more text data packets where the text data packets include the recognized speech as data instead of voice. The communication engine encrypts the text data packets and transmits the text data packets to the host. Transmitting data instead of voice to the host reduces the computational demands on the host. Additionally, the communication engine receives a plurality of information from the host.

Abstract: A system and method for remote speech recognition includes one or more customer premise equipment, a speech engine, and a communication engine. The customer premise equipment interfaces with a host from which the customer premise equipment is remotely located. The speech engine, remotely located from the host, recognizes a plurality of speech spoken by a user of the customer premise equipment and translates the speech into the language of the host. The speech engine further converts the recognized speech into one or more text data packets where the text data packets include the recognized speech as data instead of voice. The communication engine encrypts the text data packets and transmits the text data packets to the host. Transmitting data instead of voice to the host reduces the computational demands on the host. Additionally, the communication engine receives a plurality of information from the host.

Abstract: A method and system for error prevention and recovery of voice activated navigation through a menu having plural nodes provides situation dependent utterance verification by relating confirmation to utterance determination confidence levels. In one embodiment, a high confidence level results in implicit confirmation, a medium confidence level results in explicit confirmation and a low confidence level results in a concise interrogative prompt of a single word that requests the user to repeat the utterance. In situations where voice recognition is difficult, dual modality with DTMF navigation is provided as an option for menu selections.

Abstract: A system and method for remote speech recognition includes one or more customer premise equipment, a speech engine, and a communication engine. The customer premise equipment interfaces with a host from which the customer premise equipment is remotely located. The speech engine, remotely located from the host, recognizes a plurality of speech spoken by a user of the customer premise equipment and translates the speech into the language of the host. The speech engine further converts the recognized speech into one or more text data packets where the text data packets include the recognized speech as data instead of voice. The communication engine encrypts the text data packets and transmits the text data packets to the host. Transmitting data instead of voice to the host reduces the computational demands on the host. Additionally, the communication engine receives a plurality of information from the host.

Abstract: A method, system and apparatus are provided for conducting a dialog exchange between an interactive voice response (IVR) system and a user. In general, the dialog exchange between the user and the IVR system is effected by the persona of the IVR system. The persona is selected from a library of personas in accordance with the user's personality or demeanor. To determine the user's personality or demeanor, the IVR system monitors the user's responses, verbal or otherwise, to system prompts and adjusts the IVR system's persona in response to changes in the user's personality or demeanor.

Abstract: A method and system for error prevention and recovery of voice activated navigation through a menu having plural nodes provides situation dependent utterance verification by relating confirmation to utterance determination confidence levels. In one embodiment, a high confidence level results in implicit confirmation, a medium confidence level results in explicit confirmation and a low confidence level results in a concise interrogative prompt of a single word that requests the user to repeat the utterance. In situations where voice recognition is difficult, dual modality with DTMF navigation is provided as an option for menu selections.