PHOENIX SOLUTIONS, INC. Patent applications |
Patent application number | Title | Published |
20100235341 | Methods and Systems for Searching Using Spoken Input and User Context Information - Systems and methods for searching using spoken input and user context information are disclosed. In systems and methods according to embodiments of the invention, continuous speech natural language queries are accepted from a user using a client device. Speech processing tasks are divided between the client device and one or more server systems. Along with speech in compressed form, the client device transmits to the one or more server systems user context information, which is used by the one or more server systems to dynamically load one or more of a dictionary, a grammar, or a vocabulary. | 09-16-2010 |
20100228540 | Methods and Systems for Query-Based Searching Using Spoken Input - Systems and methods for query-based searching using spoken input are disclosed. In systems and methods according to embodiments of the invention, continuous speech natural language queries are accepted from a user using a client device. Speech processing tasks are divided between the client device and one or more server systems. Once user speech is recognized, the system searches one or more data repositories containing queries for at least one query that matches the recognized speech and returns information related to the query. | 09-09-2010 |
20100036660 | Emotion Detection Device and Method for Use in Distributed Systems - A prosody analyzer enhances the interpretation of natural language utterances. The analyzer is distributed over a client/server architecture, so that the scope of emotion recognition processing tasks can be allocated on a dynamic basis based on processing resources, channel conditions, client loads etc. The partially processed prosodic data can be sent separately or combined with other speech data from the client device and streamed to a server for a real-time response. Training of the prosody analyzer with real world expected responses improves emotion modeling and the real-time identification of potential features such as emphasis, intent, attitude and semantic meaning in the speaker's utterances. | 02-11-2010 |