Abstract: An example apparatus for routing audio streams includes an audio receiver to receive audio from a microphone. The apparatus also includes a classifier to semantically generate a result set based on the audio. The apparatus further includes a scheduler to select a spoken language understanding (SLU) engine based on the result set. The apparatus includes a router to route the audio to the selected SLU engine.

Abstract: Techniques are provided for wake-on-voice (WOV) key-phrase enrollment. A methodology implementing the techniques according to an embodiment includes generating a WOV key-phrase model based on identification of the sequence of sub-phonetic units of a user-provided key-phrase. The WOV key-phrase model is employed by a WOV processor for detection of the user spoken key-phrase and triggering operation of an automatic speech recognition (ASR) processor in response to the detection. The method further includes updating an ASR language model based on the user-provided key-phrase. The update includes one of embedding the WOV key-phrase model into the ASR language model, converting sub-phonetic units of the WOV key-phrase model and embedding the converted WOV key-phrase model into the ASR language model, or generating an ASR key-phrase model by applying a phoneme-syllable based statistical language model to the user-provided key-phrase and embedding the generated ASR key-phrase model into the ASR language model.

Abstract: Techniques are provided for reducing the latency of automatic speech recognition using hypothesis score trend analysis. A methodology implementing the techniques according to an embodiment includes generating complete-phrase hypotheses and partial-phrase hypotheses, along with associated likelihood scores, based on a segment of speech. The method also includes selecting the complete-phrase hypothesis associated with the highest of the complete-phrase hypotheses likelihood scores, and selecting the partial-phrase hypothesis associated with the highest of the partial-phrase hypotheses likelihood scores. The method further includes calculating a relative likelihood score based on a ratio of the likelihood score associated with the selected complete-phrase hypothesis to the likelihood score associated with the selected partial-phrase hypothesis.

Abstract: An example apparatus for detecting intent in voiced audio includes a receiver to receive one or more word sequence hypotheses related to a voiced audio and a dynamic vocabulary. The apparatus also includes a natural language understander (NLU) to detect an intent and recognize a property related to the intent based on the word sequence hypothesis and the dynamic vocabulary. The apparatus further includes a transmitter to transmit the detected intent and recognized associated property to an application.

Abstract: Systems and methods for processing results from plural speech services are described. A method includes receiving speech service results from plural speech services and service specifications corresponding to the speech service results. The results are at least one data structure representing information according to functionality of the speech services. The service specifications describe the data structure and its interpretation for each speech service. The speech service results are encoded into a unified conceptual knowledge representation of the results based on the service specification. The unified conceptual knowledge representation is provided to an application module. A method includes assessing speech service results received asynchronously from plural speech services to determine, based on a reliability measure, whether there is a reliable result among the speech service results received.

Abstract: Techniques are provided for language identification performed in conjunction with wake-on-voice keyword detection. A methodology implementing the techniques according to an embodiment includes applying phrase models to a user-spoken keyword. Each of the phrase models is configured to detect the keyword in a selected language and to generate a probability associated with the detection. The method further includes scoring the probabilities associated with the keyword detection in each of the languages, and identifying the language of the keyword based on the scoring. Automatic speech recognition and spoken language understanding systems may then be configured or selected to process further speech from the user in the identified language. In some embodiments, the phrase models are generated, in an offline process, based on provided grapheme sequences representing the keyword in the language associated with the phrase model.

Abstract: Techniques are provided for rejecting out-of-domain (OD) queries in a language understanding system. A methodology implementing the techniques according to an embodiment includes generating a plurality of in-domain (ID) utterances based on variations of provided ID sentences, and generating a plurality of OD utterances based on variations of provided OD sentences. The method may further include training an ID language model based on the generated ID utterances and training an OD language model based on the generated OD utterances. The ID language model is configured to generate an ID dataset based on calculated probabilities associated with the generated ID utterances. The OD language model is configured to generate an OD dataset based on calculated probabilities associated with the generated OD utterances. The method further includes training a classifier to detect OD queries from a plurality of received queries, the training based on the ID dataset and the OD dataset.

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: The invention relates to a composite sandwich base panel for a Unit Load Device. The panel comprises an upper surface layer comprising fibre reinforcement material, a lower surface layer comprising fibre reinforcement material, and a central core section where at least the majority comprises a plurality of particles bound in a matrix material. The upper surface layer and lower surface layer are provided with a matrix material to bind them to the central core section.

Abstract: An optical wireless communication (OWC) enabled luminaire system comprises at least one radiation source; a driver apparatus configured to drive the at least one radiation source to produce modulated radiation comprising or representing an OWC signal; a plurality of outputs configured to output modulated light that comprises or is generated using the modulated radiation produced by the at least one radiation source, wherein the plurality of outputs are positioned at substantially different locations that are remote from the at least one radiation source; and at least one guide configured to guide the modulated radiation from the at least one radiation source to the plurality of outputs.

Abstract: Techniques are provided for spoken language understanding based on keyword spotting and speech recognition. A methodology implementing the techniques according to an embodiment includes detecting a user spoken keyword or key-phrase embedded in an initial segment of a received audio signal, which is stored in a buffer. The method further includes triggering an automatic speech recognition (ASR) processor in response to the key-phrase detection. The method further includes performing automatic speech recognition, by the ASR processor, on a combination of the buffered initial segment and one or more additional received segments of the audio signal which include further speech from the user. The method still further includes performing natural language understanding on the recognized speech to determine a user request. The key-phrase is user selectable and serves to wake the ASR processor from a sleeping or idle lower power consumption state, into an active higher power consumption recognition state.

Abstract: Misspeaking is resolved in a natural language understanding system to interface with a machine. In one example, a user speech utterance is received. A sequence of classifiers is applied to words of the utterance to determine a meaning of the utterance. The meaning in interpreted as a command and the command is applied to a device for execution. The classifiers may include a first classifier to determine an intended function that is a subject of the utterance, a second classifier to determine words with properties that are related to the intended function, and a third classifier to select a property to apply to the function.

Abstract: According to some aspects, a method of processing user input received from a user is provided. The method comprises generating a plurality of segmentation hypotheses from content of the user input based, at least in part, on a set of parameters, querying a domain-specific database using each of the plurality of segmentation hypotheses to obtain at least one result, and modifying at least one of the set of parameters based, at least in part, on the at least one result.

Abstract: A method or associated system for motion adaptive speech processing includes dynamically estimating a motion profile that is representative of a user's motion based on data from one or more resources, such as sensors and non-speech resources, associated with the user. The method includes effecting processing of a speech signal received from the user, for example, while the user is in motion, the processing taking into account the estimated motion profile to produce an interpretation of the speech signal. Dynamically estimating the motion profile can include computing a motion weight vector using the data from the one or more resources associated with the user, and can further include interpolating a plurality of models using the motion weight vector to generate a motion adaptive model. The motion adaptive model can be used to enhance voice destination entry for the user and re-used for other users who do not provide motion profiles.

Abstract: The present invention relates to a method of making a composite sandwich structure. The method comprises the steps of: providing a base lay-up on a surface, wherein the base lay-up comprises a first reinforcement material layer; providing a core layer on to the base lay-up, wherein the core layer comprises an open cellular structure and wherein the open cellular structure is at least partially filled with unbound particles; providing a top lay-up on top of the core layer, wherein the top lay-up comprises a second reinforcement material layer; sealing the arrangement within a hermetically sealed enclosure; introducing matrix material into the arrangement via the at least one conduit through a pressure differential; and curing the matrix material.

Abstract: An adjustment device for adjusting an air inlet of a motor compartment of a motor vehicle between at least a first position in which the air inlet is substantially open and a second position in which the air inlet is substantially closed, comprising a drive unit for adjusting the air inlet between at least the first position and the second position, wherein the drive unit comprises a compound drive system.

Abstract: The invention relates to a high pressure diaphragm compressor for pressurizing a gaseous fluid to a pressure of at least 10 MPa, the compressor including a compressor head having an oblong shaped chamber.

Abstract: In some aspects, a method of recognizing speech that comprises natural language and at least one word specified in at least one domain-specific vocabulary is provided. The method comprises performing a first speech processing pass comprising identifying, in the speech, a first portion including the natural language and a second portion including the at least one word specified in the at least one domain-specific vocabulary, and recognizing the first portion including the natural language. The method further comprises performing a second speech processing pass comprising recognizing the second portion including the at least one word specified in the at least one domain-specific vocabulary.

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: An adjustment device for adjusting an air inlet of a motor compartment of a motor vehicle between at least a first position in which the air inlet is substantially open and a second position in which the air inlet is substantially closed, comprising a drive unit for adjusting the air inlet between at least the first position and the second position, further comprising an auxiliary unit which is arranged for adjusting the air inlet in case of a calamity for bringing the air inlet to a predefined position, comprising at least one energy storage element.