Abstract: Method and systems are provided for interpreting speech data. A method and system for recognizing speech involving a filter module to generate a set of processed audio data based on raw audio data; a translation module to provide a set of translation results for the raw audio data; and a decision module to select the text data that represents the raw audio data. A method for minimizing noise in audio signals received by a microphone array is also described. A method and system of automatic entry of data into one or more data fields involving receiving a processed audio data; and operating a processing module to: search in a trigger dictionary for a field identifier that corresponds to the trigger identifier; identify a data field associated with a data field identifier corresponding to the field identifier; and providing content data associated with the trigger identifier to the identified data field.

Abstract: A system and method of performing automatic speech recognition (ASR) includes: receiving speech at a vehicle microphone; communicating the received speech to an ASR system; measuring an amount of time that elapses while speech is received; selecting a point-of-interest (POI) context or an address context based on the measured amount of received time; and processing the received speech using a POI context-based grammar when a POI context is selected or an address-based grammar when an address context is selected.

Abstract: A digital television including a display, an interface, a communication unit, a broadcast receiver, and a controller to: display broadcast content, display a screen corresponding to a voice recognition mode, receive a first voice command signal corresponding to a first voice command, which is a single voice command including a first part defining a search source of an Internet based search engine and a second part defining a first search keyword, display a web page corresponding to the search source, which includes a first search result corresponding to first information stored on a remote server, receive a second voice command signal corresponding to a second voice command, in which the second voice command is a single voice command including the first search keyword, and display a second search result corresponding to the first search keyword from the second voice command, which corresponds to second information stored in the digital television.

Abstract: A language translation application on a user device includes a user interface that provides relevant textual and graphical feedback mechanisms associated with various states of voice input and translated speech.

Abstract: A system and method of adapting a speech system includes the steps of: receiving confirmation of a phonetic transcription of one or more names, receiving confirmation of a selected stored text result, and storing the phonetic transcription with the selected stored text result using an automatic speech recognition (ASR) system, a text-to-speech (TTS) system, or both.

Abstract: The described technology provides normalization of speech recognition confidence classifier (CC) scores that maintains the accuracy of acceptance metrics. A speech recognition CC scores quantitatively represents the correctness of decoded utterances in a defined range (e.g., [0,1]). An operating threshold is associated with a confidence classifier, such that utterance recognitions having scores exceeding the operating threshold are deemed acceptable. However, when a speech recognition engine, an acoustic model, and/or other parameters are updated by the platform, the correct-accept (CA) versus false-accept (FA) profile can change such that the application software's operating threshold is no longer valid or as accurate.

Abstract: A signal activity detector (SAD) receives, from a hangover addition unit of a different SAD, a final decision signal of the different SAD. The final decision signal indicates a final decision of the different SAD as to whether or not the different SAD detects activity in a received input signal. The SAD combines the final decision signal of the different SAD with a preliminary decision signal of the SAD and sends a result of the combining to a hangover addition unit of the SAD. The preliminary decision signal of the SAD indicates a preliminary decision of the SAD as to whether or not the SAD detects activity in the input signal. The hangover addition unit of the SAD generates a final decision signal of the SAD based on the result of the combining.

Abstract: An approach for augmenting a teleconference based on cognitive computing. A teleconference transcript is created based on speech-to-text conversion. A portion of the teleconference transcript is replaced based on a substitute word store and on cognitive computing text substitution. A second teleconference transcript and text-to-speech conversion creates augmented real-time audio. Participant audio and augmented audios are combined to create and output augmented audio to teleconference participants. Audio augmentation includes noise reduction, volume normalization, content change and natural language translation.

Abstract: The exemplary embodiments described herein are related to techniques for automatically generating narratives about data based on communication goal data structures that are associated with configurable content blocks. The use of such communication goal data structures facilitates modes of operation whereby narratives can be generated in real-time and/or interactive manners.

Abstract: An apparatus, method and computer program for inserting information into a conversation between two or more devices is provided. In one embodiment, speech data is received at a device. The speech data is analyzed and converted into text utilizing one or more speech-to-text algorithms. The text is examined to locate information that may be related to the text on the data network.

Abstract: An electrically operated domestic appliance, in particular a kitchen appliance, includes a voice recognition device, which voice recognition device is designed to compare voice signals of a user with known control commands for operating the domestic appliance, and includes an activation device for activating the voice recognition device. The activation device has an optical detection device, wherein the activation device is designed to activate the voice recognition device in dependence on information captured by the optical detection device. A method operates the domestic appliance.

Abstract: Embodiments of the present invention address deficiencies of the art in respect to podcasting and provide a method, system and computer program product for speed podcasting. In an embodiment of the invention, a speed podcasting method can include speech recognizing an audio portion of a podcast, parsing the speech recognized audio portion to identify essential words, and playing back only audio segments and corresponding video segments of the podcast including the essential words while excluding from playback audio segments and corresponding video segments of the podcast including non-essential words.

Abstract: Method and systems are provided for interpreting speech data. A method and system for recognizing speech involving a filter module to generate a set of processed audio data based on raw audio data; a translation module to provide a set of translation results for the raw audio data; and a decision module to select the text data that represents the raw audio data. A method for minimizing noise in audio signals received by a microphone array is also described. A method and system of automatic entry of data into one or more data fields involving receiving a processed audio data; and operating a processing module to: search in a trigger dictionary for a field identifier that corresponds to the trigger identifier; identify a data field associated with a data field identifier corresponding to the field identifier; and providing content data associated with the trigger identifier to the identified data field.

Abstract: A voice recognition device includes an extractor configured to extract at least one of a first utterance element indicating an execution command and a second utterance element indicating a subject, from a user's voice utterance, a domain determiner configured to determine a current domain to provide response information regarding the voice utterance based on the first and the second utterance elements, and a controller configured to determine a candidate conversation frame to provide the response information regarding the voice utterance on at least one of the current domain and a previous domain based on a conversation state of the current domain, wherein the previous domain is determined from a previous voice utterance of the user.

Abstract: Business rule statements written in a natural language are automatically converted into DRL language sentences. A language conversion apparatus 10 includes: a storage device 16 that stores syntax definition information 30 for defining syntaxes to convert a business rule statement written in a natural language into a DRL language sentence on a syntax basis, and conversion information 40 for converting element variables of the business rule statement into element variables of the DRL language sentence; and a CPU 11 that analyzes a syntax of the business rule statement by comparing the business rule statement with the syntax definition information 30 and converts the business rule statement into the DRL language sentence by referring to the conversion information 40.

Abstract: An information processing apparatus and a method for performing speech training in speech rehabilitation are disclosed. A report about content to be uttered in an utterance training is made to a trainee of the utterance training and the volume of a voice uttered by the trainee in response to the report is obtained. Then, the result of comparison between the obtained volume and a volume predetermined as a target volume is reported.

Abstract: The invention relates to a system and method for integrating domain information into state transitions of a Finite State Transducer (“FST”) for natural language processing. A system may integrate semantic parsing and information retrieval from an information domain to generate an FST parser that represents the information domain. The FST parser may include a plurality of FST paths, at least one of which may be used to generate a meaning representation from a natural language input. As such, the system may perform domain-based semantic parsing of a natural language input, generating more robust meaning representations using domain information. The system may be applied to a wide range of natural language applications that use natural language input from a user such as, for example, natural language interfaces to computing systems, communication with robots in natural language, personalized digital assistants, question-answer query systems, and/or other natural language processing applications.

Abstract: The method includes identifying a plurality of transcripts of an audio event. The method further identifying a difference between two or more of the plurality of transcripts of the audio event. The method further includes determining a confidence level for the two or more transcripts that include the identified difference, wherein the confidence level indicates a measure of quality of the transcript. The method further includes selecting a difference from the two or more transcripts that include the identified difference based on the determined confidence level. The method further includes generating a transcript based on the selected difference.

Abstract: A system may use multiple speech interface devices to interact with a user by speech. All or a portion of the speech interface devices may detect a user utterance and may initiate speech processing to determine a meaning or intent of the utterance. Within the speech processing, arbitration is employed to select one of the multiple speech interface devices to respond to the user utterance. Arbitration may be based in part on metadata that directly or indirectly indicates the proximity of the user to the devices, and the device that is deemed to be nearest the user may be selected to respond to the user utterance.

Abstract: A digital television can include a display; an interface to receive a control signal from a remote controller; a communication unit for internet access; a broadcast receiver; and a controller to display broadcast content received through the broadcast receiver, display a screen corresponding to a voice recognition mode in response to entering the voice recognition mode, the screen includes a symbol and text indicating the voice recognition mode, receive a voice command signal corresponding to a voice command through the remote controller in the voice recognition mode while the broadcast content is displayed, in which the voice command is input via a microphone provided in the remote controller, and the input voice command includes a search source and a search keyword, and display a web page corresponding to the search source included in the voice command, which includes a search window including the search keyword and a search result.