Abstract: A combination and a method are provided. Automatic speech recognition is performed on a received utterance. A meaning of the utterance is determined based, at least in part, on the recognized speech. At least one query is formed based, at least in part, on the determined meaning of the utterance. The at least one query is sent to at least one searching mechanism to search for an address of at least one web page that satisfies the at least one query.

Abstract: A combination and a method are provided. Automatic speech recognition is performed on a received utterance. A meaning of the utterance is determined based, at least in part, on the recognized speech. At least one query is formed based, at least in part, on the determined meaning of the utterance. The at least one query is sent to at least one searching mechanism to search for an address of at least one web page that satisfies the at least one query.

Abstract: Disclosed herein are systems, methods, and computer readable-media for performing an audible human verification. The method includes determining that a human verification is needed, presenting an audible challenge to a user which exploits a known issue with automatic speech recognition processes, receiving a response to the audible challenge, and verifying that a human provided the response. The known issue with automatic speech recognition processes can be recognition of a non-word, in which case the user can be asked to spell the recognized non-word. The known issue with automatic speech recognition processes can be differentiation of simultaneous input for multiple audio streams. Multiple audio streams contained in the audible challenge can be provided monaurally. Verifying that a human provided the response can include confirming the contents of one of the multiple audio streams. Audible human verification can be performed in combination with visual human verification.

Abstract: Disclosed herein are systems, methods, and computer readable-media for improving name dialer performance. The method includes receiving a speech query for a name in a directory of names, retrieving matches to the query, if the matches are uniquely spelled homophones or near-homophones, identifying information that is unique to all retrieved matches, and presenting a spoken disambiguation statement to a user that incorporates the identified unique information. Identifying information can include multiple pieces of unique information if necessary to completely disambiguate the matches. A hierarchy can establish priority of multiple pieces of unique information for use in the spoken disambiguation statement.

Abstract: A combination and a method are provided. Automatic speech recognition is performed on a received utterance. A meaning of the utterance is determined based, at least in part, on the recognized speech. At least one query is formed based, at least in part, on the determined meaning of the utterance. The at least one query is sent to at least one searching mechanism to search for an address of at least one web page that satisfies the at least one query.

Abstract: Disclosed herein are systems, methods, and computer readable-media for performing an audible human verification. The method includes determining that a human verification is needed, presenting an audible challenge to a user which exploits a known issue with automatic speech recognition processes, receiving a response to the audible challenge, and verifying that a human provided the response. The known issue with automatic speech recognition processes can be recognition of a non-word, in which case the user can be asked to spell the recognized non-word. The known issue with automatic speech recognition processes can be differentiation of simultaneous input for multiple audio streams. Multiple audio streams contained in the audible challenge can be provided monaurally. Verifying that a human provided the response can include confirming the contents of one of the multiple audio streams. Audible human verification can be performed in combination with visual human verification.

Abstract: Disclosed herein are systems, methods, and computer readable-media for improving name dialer performance. The method includes receiving a speech query for a name in a directory of names, retrieving matches to the query, if the matches are uniquely spelled homophones or near-homophones, identifying information that is unique to all retrieved matches, and presenting a spoken disambiguation statement to a user that incorporates the identified unique information. Identifying information can include multiple pieces of unique information if necessary to completely disambiguate the matches. A hierarchy can establish priority of multiple pieces of unique information for use in the spoken disambiguation statement.

Abstract: A combination and a method are provided. Automatic speech recognition is performed on a received utterance. A meaning of the utterance is determined based, at least in part, on the recognized speech. At least one query is formed based, at least in part, on the determined meaning of the utterance. The at least one query is sent to at least one searching mechanism to search for an address of at least one web page that satisfies the at least one query.

Abstract: A method, system, and machine-readable medium are provided for utilizing a network repository having stored voice font data. A request for a response, including the voice font data stored in the network repository; is received via a network. The voice font data stored in the network repository is accessed. The response, including the voice font data, is sent via the network.

Abstract: A system and method is provided for rapidly generating a new spoken dialog application. In one embodiment, a user experience person labels the transcribed data (e.g., 3000 utterances) using a set of interactive tools. The labeled data is then stored in a processed data database. During the labeling process, the user experience person not only groups utterances in various call type categories, but also flags (e.g., 100-200) specific utterances as positive and negative examples for use in an annotation guide. The labeled data in the processed data database can also be used to generate an initial natural language understanding (NLU) model.

Abstract: Disclosed herein are systems, methods, and computer readable-media for performing an audible human verification. The method includes determining that a human verification is needed, presenting an audible challenge to a user which exploits a known issue with automatic speech recognition processes, receiving a response to the audible challenge, and verifying that a human provided the response. The known issue with automatic speech recognition processes can be recognition of a non-word, in which case the user can be asked to spell the recognized non-word. The known issue with automatic speech recognition processes can be differentiation of simultaneous input for multiple audio streams. Multiple audio streams contained in the audible challenge can be provided monaurally. Verifying that a human provided the response can include confirming the contents of one of the multiple audio streams. Audible human verification can be performed in combination with visual human verification.

Abstract: Disclosed herein are systems, methods, and computer readable-media for improving name dialer performance. The method includes receiving a speech query for a name in a directory of names, retrieving matches to the query, if the matches are uniquely spelled homophones or near-homophones, identifying information that is unique to all retrieved matches, and presenting a spoken disambiguation statement to a user that incorporates the identified unique information. Identifying information can include multiple pieces of unique information if necessary to completely disambiguate the matches. A hierarchy can establish priority of multiple pieces of unique information for use in the spoken disambiguation statement.