Abstract: Disclosed is a method of phonetically encoding a text document. The method comprises providing, for a current word in the text document, a phonetically equivalent encoded word comprising one or more syllables, each syllable comprising a sequence of phonemes from a predetermined phoneme set, the sequence being phonetically equivalent to the corresponding syllable in the current word, and adding the phonetically equivalent encoded word or the current word at a current position in the phonetically encoded document. Each phoneme in the phoneme set is associated with a base grapheme that is pronounced as the phoneme in one or more English words.

Abstract: An automatic speech recognition with detection of at least one contextual element, and application to aircraft flying and maintenance are provided. The automatic speech recognition device comprises a unit for acquiring an audio signal, a device for detecting the state of at least one contextual element, and a language decoder for determining an oral instruction corresponding to the audio signal. The language decoder comprises at least one acoustic model defining an acoustic probability law and at least two syntax models each defining a syntax probability law.

Abstract: A method includes storing a meaning taxonomy including meaning loaded entities and associations between the meaning loaded entities and a plurality of syntactic structures; receiving, from a first source, first content including one or more first syntactic structures; identifying, based at least in part on identification criteria, one or more meaning loaded entities that are linked to the one or more first syntactic structures by one or more first associations of the plurality of associations, the identification criteria including at least one of a type of the first content, a document size of the first content, a publication date of the first content, and an importance of the meaning load entities; calculating a first content summary indicating a level of coverage of the meaning loaded entities within the first content; and generating a first visual representation of the first content summary.

Abstract: Certain example embodiments relate to speech privacy systems and/or associated methods. The techniques described herein disrupt the intelligibility of the perceived speech by, for example, superimposing onto an original speech signal a masking replica of the original speech signal in which portions of it are smeared by a time delay and/or amplitude adjustment, with the time delays and/or amplitude adjustments oscillating over time. In certain example embodiments, smearing of the original signal may be generated in frequency ranges corresponding to formants, consonant sounds, phonemes, and/or other related or non-related information-carrying building blocks of speech. Additionally, or in the alternative, annoying reverberations particular to a room or area in low frequency ranges may be “cut out” of the replica signal, without increasing or substantially increasing perceived loudness.

Abstract: Systems and methods for multiple topic automated chatting are provided. The systems and method provide multiple topic automated (or artificial intelligence) chatting by analyzing user inputs in a conversation to determine a plurality topics, to determine and score features related to the determined topics and different users, and to create a knowledge graph of the determined topics. Based on these determinations, the systems and methods may determine if a reply should be provided and then predict a reply.

Abstract: The invention relates to a method for automatically detecting meaning patterns in a text using a plurality of input words, in particular a text with at least one sentence, comprising a database system containing words of a language, a plurality of defined categories of meaning in order to describe the properties of the words, and meaning signals for all the words stored in the database, wherein a meaning signal is a clear numerical characterization of the meaning of the words using the categories of meaning.

Abstract: Systems and methods for determining confidence levels associated with attribute values of informational objects. An example method comprises: receiving a natural language text; performing syntactico-semantic analysis of the natural language text to produce a plurality of semantic structures; interpreting the plurality of semantic structures using a set of production rules to produce a plurality of data items, each data item associating an attribute value with an informational object representing an entity referenced by the natural language text; and determining, for at least one data item of the plurality of data items, a confidence level associated with the attribute value, by evaluating a confidence function associated with the set of production rules.

Abstract: Certain example embodiments relate to speech privacy systems and/or associated methods. The techniques described herein disrupt the intelligibility of the perceived speech by, for example, superimposing onto an original speech signal a masking replica of the original speech signal in which portions of it are smeared by a time delay and/or amplitude adjustment, with the time delays and/or amplitude adjustments oscillating over time. In certain example embodiments, smearing of the original signal may be generated in frequency ranges corresponding to formants, consonant sounds, phonemes, and/or other related or non-related information-carrying building blocks of speech. Additionally, or in the alternative, annoying reverberations particular to a room or area in low frequency ranges may be “cut out” of the replica signal, without increasing or substantially increasing perceived loudness.

Abstract: A speech recognition system and method thereof, a vocabulary establishing method and a computer program product are provided.

Abstract: This specification describes computer-implemented methods and systems. One method includes receiving, by a neural network of a speech recognition system, first data representing a first raw audio signal and second data representing a second raw audio signal. The first raw audio signal and the second raw audio signal describe audio occurring at a same period of time. The method further includes generating, by a spatial filtering layer of the neural network, a spatial filtered output using the first data and the second data, and generating, by a spectral filtering layer of the neural network, a spectral filtered output using the spatial filtered output. Generating the spectral filtered output comprises processing frequency-domain data representing the spatial filtered output. The method still further includes processing, by one or more additional layers of the neural network, the spectral filtered output to predict sub-word units encoded in both the first raw audio signal and the second raw audio signal.

Abstract: A speech-based system utilizes a speech interface device located in the home of a user. The system may interact with different users based on different user profiles. The system may include messaging services that generate and/or provide messages to the user through the speech interface device. The speech interface device may have indicators that are capable of being illuminated in different colors. To notify a user regarding the currently active user profile, each user profile is associated with a different color and the color of the active profile is displayed on the speech interface device when the user is interacting with the system. To notify the user regarding awaiting messages, different types of messages are associated with different colors and the colors of the message types of waiting messages are displayed on the speech interface whenever the user is not interacting with the system.

Abstract: Methods and systems are provided for communicating an announcement to passengers on a transportation vehicle. For example, one method includes providing an information system on the vehicle having at least one of a wireless access point and a plurality of seat display devices and operating the information system to communicate with the wireless access point or the seat display devices. The method includes playing audio corresponding to the announcement over a public address system of the vehicle, and causing text corresponding to the audio to display on the seat display devices or personal electronic devices in communication with the wireless access point.

Abstract: A method for context-aware query recognition in an electronic device includes receiving user speech from an input device. A speech signal is generated from the user speech. It is determined if the speech signal includes an action to be performed and if the electronic device is the intended recipient of the user speech. If the recognized speech signal include the action and the intended recipient of the user speech is the electronic device, a command is generated for the electronic device to perform the action.

Abstract: A machine has a processor and a memory connected to the processor. The memory stores instructions executed by the processor to supply a name page in response to a request from an administrator machine. Name page updates are received from the administrator machine. The name page updates include participants and associated network contact information for the participants. A code is utilized to form a link to the name page. Prompts for textual name information and audio name information are supplied to a client machine that activates the link to the name page. Textual name information and audio name information are received from the client machine. The textual name information and audio name information are stored in association with the name page. Navigation tools are supplied to facilitate access to the textual name information and audio name information.

Abstract: A computer-implemented technique can include receiving a selection by a user of a single word in a document in a source language, the document being displayed in a viewing application executing at the computing device, obtaining contextual information from the document that is indicative of a context of the selected word, providing the selected word and its contextual information from the viewing application to a different translation application, obtaining potential translated words using the translation application, the selected word, and its contextual information, each potential translated word being a potential translation of the selected word to a different target language that is preferred by the user, and displaying the potential translated words.

Abstract: Embodiments of the disclosure generally relate to a dialog system allowing for automatically reactivating a speech acquiring mode after the dialog system delivers a response to a user request. The reactivation parameters, such as a delay, depend on a number of predetermined factors and conversation scenarios. The embodiments further provide for a method of operating of the dialog system. An exemplary method comprises the steps of: activating a speech acquiring mode, receiving a first input of a user, deactivating the speech acquiring mode, obtaining a first response associated with the first input, delivering the first response to the user, determining that a conversation mode is activated, and, based on the determination, automatically re-activating the speech acquiring mode within a first predetermined time period after delivery of the first response to the user.

Abstract: The present document relates to the determination of a 200 bitrate related to an encoded bitstream, and describes a method for determining an estimate of a bitrate of a bitstream comprising a sequence of frames comprising a varying number of bitsand corresponding to excerpts of an audio and/or video signal. At least two frames of the sequence of frames comprise a parameter indicative of a processing delay for the corresponding frame. The method comprises determining: a total number of bits for a subsequence of frames from the bitstream; a corrected number 201 of frames based on a number of frames comprised within the subsequence and the parameters of at least two frames of the subsequence; and a lower bitrate bound and an upper bitrate bound of the bitrate based on the total number of bits, the corrected number of frames and a frame rate of the bitstream.

Abstract: A voice control method and a voice control system are provided. The voice control method is adapted to a voice control apparatus connected to a local area network. The voice control method includes following steps. Voice data is received. A voice recognition is executed for the voice data to obtain voice print information and a prompt command corresponding to the voice data. Permission information corresponding to the voice print information is determined according to the voice print information and the prompt command. At least one electronic apparatus is controlled through the local area network according to at least one of the permission information, the prompt command and environment information.

Abstract: In an embodiment receiving input data over a computer network. The method also includes automatically generating topic-based metadata of the input data in relation to a multi-level taxonomy. The method also includes automatically determining parts of speech of tokens of the input data. The method also includes searching a metadata store using the tokens and the parts of speech, the searching including identifying, at a first level and a second level of the multi-level taxonomy, nodes that include metadata which sufficiently match the tokens and the parts of speech of the tokens, where the searching yields best-match grammar-based metadata. The method of also includes revising the best-match grammar-based metadata based at least in part on the automatically generated topic-based metadata.

Abstract: Methods and systems for recognizing textual identifiers within a plurality of words are described. A textual representation of a voice input is received from a user. The textual representation includes a plurality of words. A keyword is identified in the textual representation. It is determined whether one or more words adjacent to the keyword correspond to a textual identifier of a collection of textual identifiers. Responsive to a determination that the one or more adjacent words correspond to a textual identifier, the keyword and the one or more adjacent words are replaced with the textual identifier.