A method is provided for modifying an image. The method comprises displaying an image, the image comprising a portion of an object; and determining if an edge of the object is in a location within the portion. The method further comprises detecting movement, in a member direction, of an operating member with respect to the edge. The method still further comprises moving, if the edge is not in the location, the object in an object direction corresponding to the detected movement; and modifying, if the edge is in the location, the image in response to the detected movement, the modified image comprising the edge in the location.

Information processing apparatus, information processing method and program

A self-contained wireless interactive speech recognition control device and system that integrates with automated systems and appliances to provide totally hands-free speech control capabilities for a given space. Preferably, each device comprises a programmable microcontroller having embedded speech recognition and audio output capabilities, a microphone, a speaker and a wireless communication system through which a plurality of devices can communicate with each other and with one or more system controllers or automated mechanisms. The device may be enclosed in a stand-alone housing or within a standard electrical wall box. Several devices may be installed in close proximity to one another to ensure hands-free coverage throughout the space. When two or more devices are triggered simultaneously by the same speech command, real time coordination ensures that only one device will respond to the command.

Interactive speech recognition device and system for hands-free building control

PROBLEM TO BE SOLVED: To embody the subject matter of this specification in, among other things, a method that includes receiving an audio signal and initiating speech recognition tasks by a plurality of speech recognition systems (SRS's).SOLUTION: Each SRS is configured to generate a recognition result specifying possible speech included in the audio signal and a confidence value indicating a confidence in a correctness of the speech result. The method also includes completing a portion of the speech recognition tasks including generating one or more recognition results and one or more confidence values for the one or more recognition results, determining whether the one or more confidence values meets a confidence threshold, aborting a remaining portion of the speech recognition tasks for SRS's that have not completed generating a recognition result, and outputting a final recognition result based on at least one of the generated one or more speech results.SELECTED DRAWING: Figure 1

Speech Recognition with Parallel Recognition Tasks

Audio frames are classified as either speech, non-transient background noise, or transient noise events. Probabilities of speech or transient noise event, or other metrics may be calculated to indicate confidence in classification. Frames classified as speech or noise events are not used in updating models (e.g., spectral subtraction noise estimates, silence model, background energy estimates, signal-to-noise ratio) of non-transient background noise. Frame classification affects acceptance/rejection of recognition hypothesis. Classifications and other audio related information may be determined by circuitry in a headset, and sent (e.g., wirelessly) to a separate processor-based recognition device.

Apparatus and method to classify sound to detect speech

In embodiments of the present invention improved capabilities are described for multiple web-based content category searching for web content on a mobile communication facility comprising capturing speech presented by a user using a resident capture facility on the mobile communication facility; transmitting at least a portion of the captured speech as data through a wireless communication facility to a speech recognition facility; generating speech-to-text results for the captured speech utilizing the speech recognition facility; and transmitting the text results and a plurality of formatting rules specifying how search text may be used to form a query for a search capability on the mobile communications facility, wherein each formatting rule is associated with a category of content to be searched.

Multiple web-based content category searching in mobile search application

A speech recognition system recognizes an input speech signal by using a first speech recognizer and a second speech recognizer each coupled to a decision module. Each of the first and second speech recognizers outputs first and second recognized speech texts and first and second associated confidence scores, respectively, and the decision module selects either the first or the second speech text depending upon which of the first or second confidence score is higher. The decision module may also adjust the first and second confidence scores to generate first and second adjusted confidence scores, respectively, and select either the first or second speech text depending upon which of the first or second adjusted confidence scores is higher. The first and second confidence scores may be adjusted based upon the location of a speaker, the identity or accent of the speaker, the context of the speech, and the like.

Speech recognition system having multiple speech recognizers

Shortcut names corresponding to flagged locations or frequently stated destinations, phrases, or sentences are registered, maintained, used, and deregistered in a speech recognition system. If a flagged location or a frequently stated destination, phrase, or sentence is received by the speech recognition system, the user is prompted to provide a shortcut name corresponding to the frequently stated destination, phrase, or sentence in the form of speech, which is then recognized by speech recognition and registered to a personal profile of the user. The shortcut name is also added to a grammar database of the speech recognition system, so that the speech recognition system may recognize the shortcut name itself. The shortcut name may also be deleted, when speech received from a user contains a shortcut name but the user did not intend the shortcut name to mean the corresponding destination, phrase, or sentence.

Babak Hodjat

Papers

Speech recognition system having multiple speech recognizers

Shortcut names for use in a speech recognition system