Abstract:
An electronic conferencing system is provided to enable nodes on a communication network to be aware of meetings, utilizing the conferencing system, that will or will not be held. Meetings utilizing conferencing systems are scheduled, and initially marked as tentative. If a meeting receives an endorsement, such as detecting a document being uploaded, an agenda being provided, an invitee having interest in a particular topic, etc., the meeting may be identified as confirmed. If a meeting fails to receive an endorsement, such as before the occurrence of a deadline, the meeting is automatically canceled. If the meeting has been confirmed, then the conferencing system may allocate resources to facilitate the occurrence of the meeting.
Abstract:
Recognizing a user's speech is a computationally demanding task. If a user calls a destination server, little may be known about the user or the user's speech profile. The user's source system (device and/or server) may have an extensive profile of the user. As provided herein, a source device may provide translated text and/or speech attributes to a destination server. As a benefit, the recognition algorithm may be well tuned to the user and provide the recognized content to the destination. Additionally, the destination may provide domain attributes to allow the source recognition engine to better recognize the spoken content.
Abstract:
An application compositor enables the creation a sequence of SIP and HTTP servlets that comprises a converged multi-protocol application. Applications are constructed based on rules that declaratively specify a multi-protocol sequence of servlets and the transitions between the servlets, minimizing programmer effort. The application compositor works with a servlet container within an application server to determine the sequence of servlets to be executed by the servlet container when running the application, and is called by the servlet container to perform transitions between servlets.
Abstract:
Recognizing a user's speech is a computationally demanding task. If a user calls a destination server, little may be known about the user or the user's speech profile. The user's source system (device and/or server) may have an extensive profile of the user. As provided herein, a source device may provide translated text and/or speech attributes to a destination server. As a benefit, the recognition algorithm may be well tuned to the user and provide the recognized content to the destination. Additionally, the destination may provide domain attributes to allow the source recognition engine to better recognize the spoken content.
Abstract:
A method, system and voice browser execute voice applications to perform a voice-based function. A document is retrieved and parsed to create a parse tree. Script code is created from the parse tree, thereby consuming part of the parse tree to create a reduced parse tree. The reduced parse tree is stored in a cache for subsequent execution to perform the voice-based function.
Abstract:
A speech recognizer performs speech recognition on a spoken name supplied by a user, producing a list of possible matches and corresponding confidence scores, by comparing a packetized voice stream of a spoken name to a plurality of stored phonemes that represent users' text names. If the top scoring match for a spoken name does not correctly identify the spoken name or if the spoken name's confidence score is below a first threshold, the user name is flagged to the system administrator as having a potential speech recognition problem. The results of the speech recognition are used to suggest names whose spelling may need to be adjusted to resolve the speech recognition problem. During production, a low threshold for rejecting speech recognition results can be adjusted downwards for names that produced low scores during testing. Heuristics are presented for re-testing only a subset of names when the set of names is changed.
Abstract:
An application compositor enables the creation a sequence of SIP and HTTP servlets that comprises a converged multi-protocol application. Applications are constructed based on rules that declaratively specify a multi-protocol sequence of servlets and the transitions between the servlets, minimizing programmer effort. The application compositor works with a servlet container within an application server to determine the sequence of servlets to be executed by the servlet container when running the application, and is called by the servlet container to perform transitions between servlets.
Abstract:
A request to identify a person is received from a user. For example the user may say “Find me the name of a person who sent me an email regarding Project X last week.” The request is to identify the person in order to establish an electronic communication session with the identified person. The request is parsed to identify one or more filtering criteria. One or more electronic record stores are determined based on the one or more filtering criteria. For example, specific devices on a network are identified. The one or more electronic record stores are searched using the one or more filtering criteria to create a filtered list of persons. The filtered list of persons is displayed on a first communication device in a simplified user interface. The simplified user interface dramatically reduces the time and steps necessary to identify the person and establish the communication session.
Abstract:
A speech recognizer performs speech recognition on a spoken name supplied by a user, producing a list of possible matches and corresponding confidence scores. If the top scoring match for a spoken name does not correctly identify the spoken name or if the spoken name's confidence score is below a first threshold, the user name is flagged to the system administrator as having a potential speech recognition problem. The results of the speech recognition are used to suggest names whose spelling may need to be adjusted to resolve the speech recognition problem. During production, a low threshold for rejecting speech recognition results can be adjusted downwards for names that produced low scores during testing. Heuristics are presented for re-testing only a subset of names when the set of names is changed.