Abstract: Techniques for determining one or more preferred languages for a user are provided. The preferred languages may be determined based upon a set of language indicators. The language indicators are analyzed using, for example, rules-based techniques, clustering, language classifiers, and the like, or combinations thereof. Language indicators can include or be derived from information about the user's behavior, location, preferences, social connections, or other data related to the user.

Abstract: A computer-implemented method includes receiving a document and a request to translate the document to a different language, the document including at least one tag associated with a first portion of text within the document, receiving a manual translation of the document translated by a human translator but not including the at least one tag, generating a plurality of alignments between the document and the manual translation using a statistical alignment model, selecting one of the plurality of alignments based on a likelihood that the first portion of text in the document corresponds to an aligned second portion of text within the manual translation, mapping a location of the tag in the document to a corresponding location within the manual translation based on the selected alignment, and inserting the at least one tag into the manual translation at the corresponding location to obtain a modified manual translation of the document.

Abstract: High quality, human-generated training data for a parser can be accumulated through an online game in which two or more bi- or multi-lingual players compete to accurately translate phrases. When two or more translated phrases are sufficiently similar to each other, they can be treated as an accurate translation and one or more can be added to training data for a parser.

Abstract: A method for verifying that a person is registered to use a telemedical device includes identifying an unprompted trigger phrase in words spoken by a person and received by the telemedical device. The telemedical device prompts the person to state a name of a registered user and optionally prompts the person to state health tips for the person. The telemedical device verifies that the person is the registered user using utterance data generated from the unprompted trigger phrase, name of the registered user, and health tips.

Abstract: Translating a phrase from one language into another using an order-based set of declarative rules is disclosed. Information to be communicated as sensory perceptible output is received. An ordered set of rules is applied to generate a representation that expresses the information in a manner that embodies applicable communication system rules of a target symbolic communication system in which the information is to be communicated.

Abstract: Judgment result deriving means 74 makes a judgment between active voice and non-active voice every unit time for a time series of voice data in which the number of active voice segments and the number of non-active voice segments are already known as a number of the labeled active voice segment and a number of the labeled non-active voice segment and shapes active voice segments and non-active voice segments as the result of the judgment by comparing the length of each segment during which the voice data is consecutively judged to correspond to active voice by the judgment or the length of each segment during which the voice data is consecutively judged to correspond to non-active voice by the judgment with a duration threshold. Segments number calculating means 75 calculates the number of active voice segments and the number of non-active voice segments.

Abstract: A wearable device includes a housing for the wearable device, a first microphone within or on the housing, a communication module within or on the housing, a logic circuit communicatively coupled to the first microphone, a memory storage unit communicatively coupled to the logic circuit and an interaction element. The interaction element and logic circuit cooperatively initiate control of media content or initiate operations of the wearable device. Other embodiments are disclosed.

Abstract: Described are computer-based methods and apparatuses, including computer program products, for automated content generation. In some examples, the method includes generating content metadata from document content via natural language processing based on one or more context parameters associated with the document content. The method can further include receiving user feedback about the content metadata from a computing device associated with a user associated with the document content. The method can further include modifying the one or more context parameters based on the received user feedback.

Abstract: Audio data that includes speech may be transcribed using a language model. The transcription may be provided to a user. The user may provide feedback on the transcription, and the language model may be updated based at least in part on the feedback. The feedback may include, for example, an affirmation of the transcription; a disapproval of the transcription; a correction to the transcription; a selection of an alternate transcription result; or any other kind of response.

Abstract: Techniques for determining one or more preferred languages for a user are provided. The preferred languages may be determined based upon a set of language indicators. The language indicators are analyzed using, for example, rules-based techniques, clustering, language classifiers, and the like, or combinations thereof. Language indicators can include or be derived from information about the user's behavior, location, preferences, social connections, or other data related to the user.

Abstract: Computerized apparatus useful for obtaining and displaying information. In one embodiment, the computerized apparatus includes a network interface, display device, and speech recognition apparatus configured to receive user speech input and enable performance of various tasks, such as obtaining desired information relating to indoor entities, maps or directions, or any number of other topics. The downloaded data may also, in one variant, be displayed with contextually related advertising or other content.

Abstract: An example method is provided that may include receiving a first request to join a communication session; receiving voice data from a telephonic device in response to an audio prompt requesting a voice input from a dial-in user; interpreting the voice data to identify a particular name; and presenting the particular name in a graphical user interface associated with the communication session, the presentation of the particular name identifying that the dial-in user has joined the communication session.

Abstract: A digital audio communication control apparatus includes a first mixing unit that mixes a voice input from a voice input unit and uttered by a specific speaker with a voice input from a digital audio packet receiving unit and uttered by at least one speaker except for the specific speaker, and a second mixing unit that mixes the voices mixed by the first mixing unit with the voice of the specific speaker. The voices mixed by the second mixing unit are fed back to the specific speaker.

Abstract: This invention is directed to providing voice feedback to a user of an electronic device. Because each electronic device display may include several speakable elements (i.e., elements for which voice feedback is provided), the elements may be ordered. To do so, the electronic device may associate a tier with the display of each speakable element. The electronic device may then provide voice feedback for displayed speakable elements based on the associated tier. To reduce the complexity in designing the voice feedback system, the voice feedback features may be integrated in a Model View Controller (MVC) design used for displaying content to a user. For example, the model and view of the MVC design may include additional variables associated with speakable properties.

Abstract: A speech recognition circuit comprises a memory containing lexical data for word recognition, the lexical data comprising a plurality of lexical data structures stored in each of a plurality of parts of the memory; and a parallel processor structure connected to the memory to process speech parameters by performing parallel processing on a plurality of the lexical data structures.

Abstract: Provided are an audio encoding method and apparatus and an audio decoding method and apparatus in which audio signals can be encoded or decoded so that sound images can be localized at any desired position for each object audio signal. The audio decoding method generating a third downmix signal by combining a first downmix signal extracted from a first audio signal and a second downmix signal extracted from a second audio signal; generating third object-based side information by combining first object-based side information extracted from the first audio signal and second object-based side information extracted from the second audio signal; converting the third object-based side information into channel-based side information; and generating a multi-channel audio signal using the third downmix signal and the channel-based side information.

Abstract: A voice integration platform and method provide for integration of a voice interface with a data system that includes stored data. The voice integration platform comprises one or more generic software components, the generic software components being configured to enable development of a specific voice user interface that is designed to interact with the data system in order to present the stored data to a user.

Abstract: In one implementation, a first voice stream for a packet-switched call is received from a calling party. The first voice stream conforms to a first silence suppression scheme and comprises a plurality of encoded packets for the packet-switched call. A subset of encoded packets are selected from the plurality of encoded packets to create a second voice stream that conforms to a second silence suppression scheme. The second voice stream comprises the subset of encoded packets. The first silence suppression scheme is distinct from the second silence suppression scheme. The second voice stream is forwarded toward a called party for the packet-switched call.

Abstract: A method and apparatus useful to train speech recognition engines is provided. Many of today's speech recognition engines require training to particular individuals to accurately convert speech to text. The training requires the use of significant resources for certain applications. To alleviate the resources, a trainer is provided with the text transcription and the audio file. The trainer updates the text based on the audio file. The changes are provided to the speech recognition to train the recognition engine and update the user profile. In certain aspects, the training is reversible as it is possible to over train the system such that the trained system is actually less proficient.

Abstract: An encoding device (200) includes an MDCT unit (202) that transforms an input signal in a time domain into a frequency spectrum including a lower frequency spectrum, a BWE encoding unit (204) that generates extension data which specifies a higher frequency spectrum at a higher frequency than the lower frequency spectrum, and an encoded data stream generating unit (205) that encodes to output the lower frequency spectrum obtained by the MDCT unit (202) and the extension data obtained by the BWE encoding unit (204). The BWE encoding unit (204) generates as the extension data (i) a first parameter which specifies a lower subband which is to be copied as the higher frequency spectrum from among a plurality of the lower subbands which form the lower frequency spectrum obtained by the MDCT unit (202) and (ii) a second parameter which specifies a gain of the lower subband after being copied.