Abstract: The present disclosure relates to a method for a dialog system. The method comprises: receiving a user input at the dialog system. A machine learning module may receive from the dialog system a dialog system response to the user input. In response to determining that the machine learning module is in a deactivated mode, selected one or more training data items of the dialog system response and the user input may be used for training the machine learning module. In response to determining that the machine learning module is in an active mode the trained machine learning module may estimate from the set of output data items and the user input a machine learning module response to the user input. The machine learning module response or the dialog system response may be provided.

Abstract: The present disclosure relates to a method for a dialog system. The method comprises: receiving a user input at the dialog system. A machine learning module may receive from the dialog system a dialog system response to the user input. In response to determining that the machine learning module is in a deactivated mode, selected one or more training data items of the dialog system response and the user input may be used for training the machine learning module. In response to determining that the machine learning module is in an active mode the trained machine learning module may estimate from the set of output data items and the user input a machine learning module response to the user input. The machine learning module response or the dialog system response may be provided.

Abstract: According to some aspects, a method of searching for content in response to a user voice query is provided. The method may comprise receiving the user voice query, performing speech recognition to generate N best speech recognition results comprising a first speech recognition result, performing a supervised search of at least one content repository to identify one or more supervised search results using one or more classifiers that classify the first speech recognition result into at least one class that identifies previously classified content in the at least one content repository, performing an unsupervised search of the at least one content repository to identify one or more unsupervised search results, wherein performing the unsupervised search comprises performing a word search of the at least one content repository, and generating combined results from among the one or more supervised search results and the one or more unsupervised search results.

Abstract: Techniques for error correction using a history list comprising at least one misrecognition and correction information associated with each of the at least one misrecognitions indicating how a user corrected the associated misrecognition. The techniques include converting data input from a user to generate a text segment, determining whether at least a portion of the text segment appears in the history list as one of the at least one misrecognitions, if the at least a portion of the text segment appears in the history list as one of the at least one misrecognitions, obtaining the correction information associated with the at least one misrecognition, and correcting the at least a portion of the text segment based, at least in part, on the correction information.

Abstract: An automotive text display arrangement is described which includes a driver text display positioned directly in front of an automobile driver and displaying a limited amount of text to the driver without impairing forward visual attention of the driver. The arrangement may include a boundary insertion mode wherein when the active text position is an active text boundary, new text is inserted between the text items separated by the active text boundary, and when the active text position is an active text item, new text replaces the active text item. In addition or alternatively, there may be a multifunctional text control knob offering multiple different user movements, each performing an associated text processing function.

Abstract: Methods and apparatus to receive a first data stream, such as a public broadcast, and receive a second data stream, such as a private data stream, containing emails, for example. A user profile can be used to generate a data output stream for the user from the first and second data streams. The user profile can contain preferences for segments within the first and second data streams.

Abstract: Methods and apparatus to receive a first data stream, such as a public broadcast, and receive a second data stream, such as a private data stream, containing emails, for example. A user profile can be used to generate a data output stream for the user from the first and second data streams. The user profile can contain preferences for segments within the first and second data streams.

Abstract: According to some aspects, a method of searching for content in response to a user voice query is provided. The method may comprise receiving the user voice query, performing speech recognition to generate N best speech recognition results comprising a first speech recognition result, performing a supervised search of at least one content repository to identify one or more supervised search results using one or more classifiers that classify the first speech recognition result into at least one class that identifies previously classified content in the at least one content repository, performing an unsupervised search of the at least one content repository to identify one or more unsupervised search results, wherein performing the unsupervised search comprises performing a word search of the at least one content repository, and generating combined results from among the one or more supervised search results and the one or more unsupervised search results.

Abstract: An automotive text display arrangement is described which includes a driver text display positioned directly in front of an automobile driver and displaying a limited amount of text to the driver without impairing forward visual attention of the driver. The arrangement may include a boundary insertion mode wherein when the active text position is an active text boundary, new text is inserted between the text items separated by the active text boundary, and when the active text position is an active text item, new text replaces the active text item. In addition or alternatively, there may be a multifunctional text control knob offering multiple different user movements, each performing an associated text processing function.

Abstract: An automotive text display arrangement is described which includes a driver text display positioned directly in front of an automobile driver and displaying a limited amount of text to the driver without impairing forward visual attention of the driver. The arrangement may include a boundary insertion mode wherein when the active text position is an active text boundary, new text is inserted between the text items separated by the active text boundary, and when the active text position is an active text item, new text replaces the active text item. In addition or alternatively, there may be a multifunctional text control knob offering multiple different user movements, each performing an associated text processing function.

Abstract: A textual message processing system and method are described for use in a mobile environment. A user messaging application processes at least one user textual message during a user messaging session. A semantic annotation module identifies one or more semantically salient terms in the user textual message, and annotates the user textual message with annotation terms having a low semantic distance to the semantically salient terms. A user message history stores the annotated textual messages. The semantic annotation module may further annotate the user textual message with situational meta-data characterizing the user textual message. There may be a message search module for using one or more keywords to search the user message history including the annotation terms, and identifying as a search match any annotated textual messages within a semantic distance threshold of the one or more keywords.

Abstract: Systems and methods for multi-modal messaging that enable a user to compose, send and retrieve messages, such as SMS, MMS, IM or ordinary e-mail messages, for example, using one or more I/O (input/output) modalities (e.g., speech I/O and/or GUI I/O). A method for composing messages combines the advantages of a multi-modal interface (e.g., grammar-based speech and touchscreen or similar input devices) and message templates, which allows a user to construct a message with significantly less effort in a fraction of the time required by conventional methods. The user can dictate his/her messages using speech and/or GUI input, for example, based on a library of message templates which can be personalized by the user to fit his/her social interaction needs.

Abstract: Techniques disclosed herein include systems and methods for managing user interface responses to user input including spoken queries and commands. This includes providing incremental user interface (UI) response based on multiple recognition results about user input that are received with different delays. Such techniques include providing an initial response to a user at an early time, before remote recognition results are available. Systems herein can respond incrementally by initiating an initial UI response based on first recognition results, and then modify the initial UI response after receiving secondary recognition results. Since an initial response begins immediately, instead of waiting for results from all recognizers, it reduces the perceived delay by the user before complete results get rendered to the user.

Abstract: A natural language query arrangement is described for a mobile environment. An automatic speech recognition (ASR) engine can process an unknown speech input from a user to produce corresponding recognition text. A natural language understanding module can extract natural language concept information classifier uses the from the recognition text. A query recognition text and the natural language concept information to assign to the speech input a query intent related to one or more objects in the mobile environment. An environment database contains information descriptive of objects in the mobile environment. A query search engine searches the environment database based on the query intent, the natural language concept information, and the recognition text to determine corresponding search results, which can be to the user.

Abstract: Techniques for presenting data input as a plurality of data chunks including a first data chunk and a second data chunk. The techniques include converting the plurality of data chunks to a textual representation comprising a plurality of text chunks including a first text chunk corresponding to the first data chunk and a second text chunk corresponding to the second data chunk, respectively, and providing a presentation of at least part of the textual representation such that the first text chunk is presented differently than the second text chunk to, when presented, assist a user in proofing the textual representation.

Abstract: Clients connecting to a VoiceXML browser obtain a control channel. Using this channel, clients may initialize a new VoiceXML session or attach to an existing VoiceXML session. The client after obtaining a session may perform a range of actions including controlling and monitoring actions.

Abstract: A text message processing arrangement is described for use in a mobile environment. A mobile messaging application processes user text messages during a user messaging session. A user state model reflects situational parameters to characterize user cognitive load. A functionality control module adjusts functional performance of the mobile messaging application based on the user state model.

Abstract: A textual message processing system and method are described for use in a mobile environment. A user messaging application processes at least one user textual message during a user messaging session. A semantic annotation module identifies one or more semantically salient terms in the user textual message, and annotates the user textual message with annotation terms having a low semantic distance to the semantically salient terms. A user message history stores the annotated textual messages. The semantic annotation module may further annotate the user textual message with situational meta-data characterizing the user textual message. There may be a message search module for using one or more keywords to search the user message history including the annotation terms, and identifying as a search match any annotated textual messages within a semantic distance threshold of the one or more keywords.

Abstract: Techniques for disambiguating at least one text segment from at least one acoustically similar word and/or phrase. The techniques include identifying at least one text segment, in a textual representation having a plurality of text segments, having at least one acoustically similar word and/or phrase which has a different spelling, annotating the textual representation with disambiguating information to help disambiguate the at least one text segment from the at least one acoustically similar word and/or phrase, and synthesizing a speech signal, at least in part, by performing text-to-speech synthesis on at least a portion of the textual representation that includes the at least one text segment, wherein the speech signal includes speech corresponding to the disambiguating information located proximate the portion of the speech signal corresponding to the at least one text segment.

Abstract: A textual message processing system and method are described for use in a mobile environment. A user messaging application processes at least one user textual message during a user messaging session. A semantic annotation module identifies one or more semantically salient terms in the user textual message, and annotates the user textual message with annotation terms having a low semantic distance to the semantically salient terms. A user message history stores the annotated textual messages. The semantic annotation module may further annotate the user textual message with situational meta-data characterizing the user textual message. There may be a message search module for using one or more keywords to search the user message history including the annotation terms, and identifying as a search match any annotated textual messages within a semantic distance threshold of the one or more keywords.