Abstract: An interaction method triggered by a mouth-covering gesture and an intelligent electronic device are provided. The interaction method is applied to an intelligent electronic device arranged with a sensor. The intelligent electronic device includes a sensor system for capturing a signal of a user putting one hand on a mouth to make a mouth-covering gesture. The interaction method includes: processing the signal to determine whether the user puts the hand on the mouth to make the mouth-covering gesture; and in a case that the user puts the hand on the mouth to make the mouth-covering gesture, determining a mouth-covering gesture input mode as an input mode for controlling an interaction to trigger a control command or trigger another input mode, by executing a program on the intelligent electronic device.

Abstract: Systems and methods for efficient management of an audio/video conferences is disclosed. The method includes receiving an audio question from a first user of a plurality of users connected to a conference, recording the audio question and preventing an immediate transmission of the audio question to the plurality of users connected to the conference, analyzing an audio portion of the conference to identify a time for transmitting the audio question to the plurality of users connected to the conference, and transmitting the audio question to the plurality of users at the identified time.

Abstract: Synchronizing a sensor network and an ontology by analyzing outputs of a set of sensors, analyzing relationships of an ontology, mapping the outputs to the relationships, identifying a correlation among the outputs, and modifying the ontology according to the correlation.

Abstract: Methods for automatically evaluating ASR outputs and providing annotations, including corrections, on the transcriptions—in order to improve recognition—may be based on an analysis of sessions of user voice queries, utilizing time-ordered ASR transcriptions of user voice queries (i.e., user utterances). This utterance-based approach may involve extracting both session-level and query-level characteristics from a voice query sessions and identifying patterns of query reformulation in order to detect erroneous transcriptions and automatically determine an appropriate correction. Alternative, or in addition, ASR outputs may be evaluated based on user behavior. The outcomes may be classified as positive or negative. An ASR transcription may be labeled using the description of the outcome. The labeled transcription may be used as training data to train a model to output improved transcriptions of voice queries.

Abstract: Disclosed in various embodiments of the present invention are a method and a device comprising: a first electrode, a second electrode and a third electrode which make contact with the body of a user; an instrumentation amplifier for differentially amplifying signals received from the first electrode and the second electrode; a feedback amplifier for feeding back feedback noise to the body of the user through the third electrode; and a control circuit, wherein the control circuit is configured to analyze a noise level by using a biosignal obtained from the instrumentation amplifier, and control the gain of the feedback amplifier on the basis of the result of the analysis. Various embodiments are possible.

Abstract: Systems and methods for constructing a narrative of an interaction with a subject are disclosed. According to an aspect, a method includes receiving response prompts for interacting with a subject. The method includes constructing a data structure including a set of nodes. Each of the nodes corresponds to one of the response prompts. Each link is traversable based on a response to a response prompt at the respective node. The method includes providing a narrative build manager configured to receive one or more responses to one or more response prompts of the set of nodes. The narrative build manager is configured use the one or more responses to traverse the links. The narrative build manager is configured to construct a narrative of an interaction with a subject based on the traversal of the links and the responses to the response prompts at one or more nodes.

Abstract: The present disclosure relates to a vehicle quality problem management system and a data processing method thereof. The system includes a management server including a server communication device that performs wireless communication with a mobile device, and a server processing device connected to the server communication device, and the server processing device receives a voice signal containing a current quality problem from the mobile device, converts the current quality problem in the voice signal to text using speech to text (STT), and registers the current quality problem converted into the text in a database (DB).

Abstract: An automotive processing unit includes an infotainment system having a speech interface, an application suite comprising one or more spatially-cognizant applications, and an automotive assistant that is configured to execute one or more of the spatially-cognizant applications. The speech interface is configured to receive a navigation announcement from a navigator and a touring announcement from one of the spatially-cognizant applications and, in response, to cause a spoken announcement to be made audible in a vehicle's cabin through a loudspeaker. The spoken announcement comprising content from at least one of the touring announcement and the navigation announcement.

Abstract: Energy storage device, in particular for the starter of an internal combustion engine, includes at least one energy storage element, a data generating unit for acquiring operating parameters of the energy storage device and generating corresponding data, at least one separating device for reversibly separating an electrically conductive connection between the energy storage element and a power source and/or an electrically conductive connection between the energy storage element and a power receiver, and a data transmitting unit for transmitting data between the data generating unit and a data input/output device and between the data input/output device and the separating device, where the separating device is actuated depending on data which is transmitted from the data generating unit and/or the data transmitting unit to the separating device.

Abstract: A method for predicting a property of a sample molecule involves, for each of a multitude of reference molecules, obtaining a multitude of fingerprints and at least one property, and obtaining the multitude of fingerprints of the sample molecule. The method further involves for each of the multitude of reference molecules, using each of the multitude of fingerprints, calculating distances to the sample molecule, and for each of the multitude of reference molecules, determining a relative predictive dominance, based on the distances to the sample molecule. The method also involves, for each of the multitude of reference molecules, determining a fitness value based on the relative predictive dominance, and predicting the at least one property of the sample molecule based on the at least one property of the multitude of reference molecules and the fitness values obtained for the reference molecules.

Abstract: Techniques enable an automatic adjustment of a muted response setting of an automated assistant based on a determination of an expectation by a user to hear an audible response to their query, despite the muted setting. Determination of the expectation may be based on historical, empirical data uploaded from multiple users over time for a given response scenario. For example, the system may determine from the historical data that a certain type of query has been associated with a user both repeating their query and increasing a response volume setting within a given timeframe. Metrics may be generated, stored, and invoked in response to attributes associated with identifiable types of queries and query scenarios. Automated response characteristics meant to reduce inefficiencies may be associated with certain queries that can otherwise collectively burden network bandwidth and processing resources.

Abstract: Implementations set forth herein relate to employing dynamic regulations for governing responsiveness of multiple automated assistant devices, and specifically the responsiveness an automated assistant to a given spoken utterance that has been acknowledged by two or more of the assistant devices. The dynamic regulations can be context-dependent and adapted over time in order that the automated assistant can accommodate assistant interaction preferences that may vary from user to user. For instance, a spoken utterance such as “stop,” may be intended to affect different assistant actions based on a context in which the user provided the spoken utterance. The context can refer to a location of the user relative to other rooms in a home, a time of day, a user providing the spoken utterance, an arrangement of the assistant devices within a home, and/or a state of each device in the home.

Abstract: Described herein is a method for Convolutional Neural Network (CNN) based speech source separation, wherein the method includes the steps of: (a) providing multiple frames of a time-frequency transform of an original noisy speech signal; (b) inputting the time-frequency transform of said multiple frames into an aggregated multi-scale CNN having a plurality of parallel convolution paths; (c) extracting and outputting, by each parallel convolution path, features from the input time-frequency transform of said multiple frames; (d) obtaining an aggregated output of the outputs of the parallel convolution paths; and (e) generating an output mask for extracting speech from the original noisy speech signal based on the aggregated output. Described herein are further an apparatus for CNN based speech source separation as well as a respective computer program product comprising a computer-readable storage medium with instructions adapted to carry out said method when executed by a device having processing capability.

Abstract: A system, method, and computer program are provided for text sanitization. The system builds a corpus of document vectors (including tokenizing each document, creating a vector representation based on the tokens, and building a corpus of vector representations), obtains a new document for text sanitization, tokenizes the new document, creates a new document vector based on the tokens in the new document, and accesses the corpus of document vectors. The system filters each of the tokens in the new document against a privacy threshold. The system performs a k-anonymity sanitization process such that the new document vector becomes indistinguishable from at least k other document vectors in the corpus of document vectors. The system replaces or redacts the tokens in the document flagged as unsafe. The system updates the corpus of document vectors to include the new document vector in its form prior to the filtering and k-anonymity sanitization steps.

Abstract: Techniques for detecting certain acoustic events from audio data are described. A system may perform event aggregation for certain types of events before sending an output to a device representing the event is detected. The system may bypass the event aggregation process for certain types of events that the system may detect with a high level of confidence. In such cases, the system may send an output to the device when the event is detected. The system may be used to detect acoustic events representing presence of a person or other harmful circumstances (such as, fire, smoke, etc.) in a home, an office, a store, or other types of indoor settings.

Abstract: An apparatus comprising means configured to: receive a primary track comprising at least one audio signal; receive at least one secondary track, each of the at least one secondary track comprising at least one audio signal, wherein the at least one secondary track is based on the primary track; and decode and render the primary track and the at least one secondary track using spatial audio decoding.

Abstract: An electronic device is provided. The electronic device includes a communication module, a sensor module, a sound input module, a sound output module, a memory including a buffer, and a processor.

Abstract: A method for estimating the aging of an electronic component, characterized in that it includes the following steps: —compiling a thermal specification of the electronic component in order to determine a reference lifetime, —determining a reference temperature quantity, —measuring the actual temperature of the electronic component in operation, —determining an actual temperature quantity, —determining an equivalent operating time at the actual temperature, —transposing this equivalent operating time to the reference temperature to obtain a transposed operating time, —summing the transposed operating times to obtain a consumed lifetime comparable to the reference lifetime.

Abstract: An audio coding method and apparatus are provided. The audio coding method includes: obtaining first audio data; obtaining a target bit rate and a Bluetooth packet type, where the target bit rate and the Bluetooth packet type correspond to a current status of a Bluetooth channel; obtaining one or more of a bit pool parameter set, a psychoacoustic parameter set, and a spectrum bandwidth parameter set by using a neural network obtained through pre-training based on the first audio data, the target bit rate, and the Bluetooth packet type; and coding the first audio data based on one or more of the bit pool parameter set, the psychoacoustic parameter set, and the spectrum bandwidth parameter set to obtain a to-be-sent bit stream. The status of the Bluetooth channel can be adaptively matched, and continuous audio listening experience is provided when audio quality is maximally ensured.

Abstract: An occupancy tracking device configured to receive a plurality of sound samples over a predetermined time period. The device is further configured to compute an audio signature for each sound sample. The device is further configured to populate entries in the voice data log for the sound samples, to identify one or more clusters based on an audio signature that is associated with the populated entries, and to determine a number of clusters that are identified. The device is further configured to determine a predicted occupancy level based on the number of clusters that are identified and to control a Heating, Ventilation, and Air Conditioning (HVAC) system based on the predicted occupancy level.