Abstract: A system and method for creating a mnemonics Language Model for use with a speech recognition software application, wherein the method includes generating an n-gram Language Model containing a predefined large body of characters, wherein the n-gram Language Model includes at least one character from the predefined large body of characters, constructing a new language Model (LM) token for each of the at least one character, extracting pronunciations for each of the at least one character responsive to a predefined pronunciation dictionary to obtain a character pronunciation representation, creating at least one alternative pronunciation for each of the at least one character responsive to the character pronunciation representation to create an alternative pronunciation dictionary and compiling the n-gram Language Model for use with the speech recognition software application, wherein compiling the Language Model is responsive to the new Language Model token and the alternative pronunciation dictionary.

Abstract: Intelligent speech recognition is used to provide users with the ability to utter more user friendly commands. Satisfaction is increased when a user can vocalize a subset of a formal command name and still have the intended command identified and processed. Moreover, greater accuracy in identifying a command application from a user's utterance can be achieved by ignoring command choices associated with unlikely user utterances. An intelligent speech recognition system can identify differing acceptable verbal command phrase forms, e.g., but not limited to, complete commands, command subsequences and command subsets, for different commands supported by the system. Subset blocking words are identified for assistance in reducing the ambiguity in matching user verbal command phrases with valid commands supported by the intelligent speech recognition system.

Abstract: A method of interacting with a speech recognition (SR)-enabled personal computer (PC) is provided in which a user SR profile is transferred from a wireless-enabled device to the SR-enabled PC. Interaction with SR applications, on the SR-enabled PC, is carried out by transmitting speech signals wirelessly to the SR-enabled PC. The transmitted speech signals are recognized with the help of the transferred user SR profile.

Abstract: A portable wireless-enabled system includes an input transducer (for example, a microphone), an output transducer (for example, a speaker) and a wireless transceiver system. Also included, is a memory having a programmable user speech profile. A processor system controls operation of the input transducer, the output transducer, the wireless transceiver system and the memory.

Abstract: A method and system for enabling a speech recognition system to recognize entities having arbitrary text. The method includes identifying an entity having arbitrary text from a user and detecting that the entity has an identifiable pattern of characters. The speech recognition system prompts the user to assign an alternative natural phrase that corresponds with the entity. The alternative natural phrase is stored in a dictionary to thereby textually enter the entity upon capturing the corresponding natural phrase.

Abstract: The present invention combines speech recognition tutorial training with speech recognizer voice training. The system prompts the user for speech data and simulates, with predefined screenshots, what happens when speech commands are received. At each step in the tutorial process, when the user is prompted for an input, the system is configured such that only a predefined set (which may be one) of user inputs will be recognized by the speech recognizer. When a successful recognition is being made, the speech data is used to train the speech recognition system.

Abstract: A voice-activated user interface for an application is described. The voice activated user interface invokes a speech recognition component to recognize audio input from a user. If the audio input is a command, then a validation component is invoked to determine whether to validate the command prior to execution.

Abstract: Upon selection of a displayed word, a list of alternatives for the selected word is displayed. Each alternative in the list has an associated symbol. A speech signal is then decoded to identify a list of possible words and the list of possible words is displayed with each possible word having an associated symbol.

Abstract: A system and method for creating a mnemonics Language Model for use with a speech recognition software application, wherein the method includes generating an n-gram Language Model containing a predefined large body of characters, wherein the n-gram Language Model includes at least one character from the predefined large body of characters, constructing a new language Model (LM) token for each of the at least one character, extracting pronunciations for each of the at least one character responsive to a predefined pronunciation dictionary to obtain a character pronunciation representation, creating at least one alternative pronunciation for each of the at least one character responsive to the character pronunciation representation to create an alternative pronunciation dictionary and compiling the n-gram Language Model for use with the speech recognition software application, wherein compiling the Language Model is responsive to the new Language Model token and the alternative pronunciation dictionary.

Abstract: A method and system for manipulating characters displayed on a display screen is provided wherein the method includes identifying a selected word, wherein the selected word includes at least one character to be modified. The method further includes correlating each of the at least one character with a unique numerical value and receiving a selection command and a modification command, wherein the selection command is the unique numerical value corresponding to a selected character. Furthermore, the method includes modifying the selected character responsive to the modification command to generate a modified word.

Abstract: A system and method for positioning a software User Interface (UI) window on a display screen is provided, wherein the method includes displaying the software UI window on the display screen and identifying at least one suitable location on the display screen responsive to an active target window area of a target application UI window. The method further includes determining whether the software UI window is disposed at the at least one suitable location on the display screen and if the software UI window is disposed in a location other than the at least one suitable location on the display screen, positioning the software UI window at the at least one suitable location on the display screen.

Abstract: A method and system for facilitating centralized interaction with a user includes providing a recognized voice command to a plurality of application modules. A plurality of interpretations of the voice command are generated by at least one of the plurality of application modules. A centralized interface module visually renders the plurality of interpretations of the voice command on a centralized display. An indication of selection of an interpretation is received from the user.

Abstract: A computer implemented method and system for speech recognition are provided. The method and system generally maintain a set of verbs for speech recognition commands. Upon recognizing utterance of a verb of the set in combination with an invalid object or objects for the verb, the method and system generate an indication relative to the verb and invalid object. The indication can include informing the user that the system is unsure how to execute the command associated with the verb with the invalid object. The method and system can then receive a user input to specify how the verb and invalid object should be treated.

Abstract: A numbering scheme is disclosed for implementation in the context of an application display. A user is able to select an item on the display by speaking a number corresponding to a desired control item. In some cases, the screen can include so many numbers that the user loses context and is unable to identify which number they want to select. For this reason, in one embodiment, a temporal switching mechanism is implemented wherein periodic switches (e.g., second-long intervals) occur between showing numbered items and showing a non-numbered screen. In one embodiment, an optional secondary confirmation step is implemented wherein the user sees only the item they just selected and has the chance to (a) learn the programmatic name of the item they selected and/or (b) either confirm and proceed with their selection, or cancel. In one embodiment, the optional secondary confirmation step is omitted if the user speaks a number followed by a predetermined command word.