Abstract: A system described herein may maintain a plurality of nodes, each associated with a respective token or intent; determine relevance between nodes; determine that a particular measure of relevance between two particular nodes is greater than a threshold; and associate the two nodes with a particular cluster based on such determination. The cluster may be associated with particular context information. The system may further receive a query; identify a particular set of tokens or intents associated with the query; identify, based on the particular set, that the query is associated with the cluster; generate an augmented query based on the received query and further based on the particular context information associated with the cluster; and output the augmented query to a Natural Language Processing (“NLP”) system that generates a response based on the augmented query.

Abstract: The present disclosure relates to an active noise cancelling device and system for a mobile vehicle, and in particular, to an active noise cancelling device and system for a mobile vehicle capable of controlling noise according to driving information of a mobile vehicle. The present disclosure is directed to varying a period for generating cancellation target noise information according to driving information of a mobile vehicle.

Abstract: Aspects of the disclosure are directed to generating cache configurations for caching data for a database. A database management system (DBMS) can search for column data to cache in a database cache to improve performance of the DBMS in resolving queries. Column data selection can be performed automatically and in the background of a deployed DBMS. Periodically, the DBMS can assess the performance benefit of having certain data cached in the database cache and select data for caching based on the assessed performance benefit. The DBMS can also determine the performance benefit of cached data when not cached, as well as select some portions of data to cache over others. The DBMS can also select data for caching based on different degrees of compression, to further improve query resolution performance.

Abstract: An impedance-tuned microphone tunnel for an electronic device is disclosed. The impedance-tuned microphone tunnel includes a ring-like structure having a central opening positioned within a microphone tunnel of an electronic device. The central opening of the ring-like structure has a diameter that is smaller than diameters of other central openings within the microphone tunnel. The ring-like structure may be used to tune an impedance of the microphone tunnel by varying the diameter of the central opening. In this way, the impedance of the microphone tunnel may be tuned to a frequency response target to reduce a resonant peak of the microphone tunnel. The ring-like structure may be coated with a non-stick material, such as with polyethylene terephthalate (PET), biaxially orientated polyethylene terephthalate (BoPET), polyimide (PI), and the like.

Abstract: A microphone device includes a housing, a microphone, a phone microphone, an analog wire, a conversion unit, and a processor. The housing has an opening portion and a horn including a horn opening portion and a horn tube extending from the horn opening portion. The microphone converts a sound that has propagated through the opening portion into an analog signal. The horn microphone converts a sound that has propagated through the horn into an analog signal. The analog wire outputs the analog signal from the horn microphone. The conversion unit acquires the analog signal from the microphone, acquires the analog signal from the horn microphone via a wire different from the analog wire, and converts the analog signal from the microphone and the analog signal from the horn microphone into digital signals. The processor performs digital signal processing on the digital signals converted by the conversion unit.

Abstract: In various embodiments, a computer-implemented method comprises determining a loudspeaker position of a loudspeaker in a listening environment, tracking an object position of an object within the listening environment, retrieving an audio signal, computing a distance between the object position and the loudspeaker position, generating a modified audio signal, wherein an amplitude of the modified audio signal is based on (i) the audio signal, (ii) the distance, and (iii) a distance attenuation function, and transmitting the modified audio signal to the loudspeaker.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for retrieving digital content from external applications through a software connection. In some embodiments, the disclosed systems identify a software connector comprising a plurality of federated connections linking a content management system and an external application, the plurality of federated connections associated with respective user accounts of the content management system and connecting the respective user accounts to the external application through the software connector. The disclosed systems, use a sync engine to crawl the plurality of federated connections and generate a content graph comprising nodes representing digital content from the external application to sync with the content management system. The disclosed systems request, by the sync engine using the content graph, the digital content from the external application to the content management system through the software connector.

Abstract: According to an aspect of the disclosure, an audio device is provided comprising a communications interface configured to be communicatively coupled to an audio source, at least one sensor, and a controller configured to control the audio device to be in a low-power mode, receive, from the sensor(s), information indicative of a presence of a user's body, initiate, via the communications interface responsive to receiving the information, a wireless communication pairing process to establish a wireless communication bond with the audio source prior to determining that the audio device is fully engaged with the user's body, determine, subsequent to initiating the wireless communication pairing process and based on information received from the sensor(s), that the audio device is fully engaged with the user's body, and control, responsive to determining that the audio device is fully engaged with the user's body, the audio device to be in an active mode.

Abstract: The technology of this application relates to a sound recording method and a related device. The sound recording method includes performing a shooting operation on a subject, determining an attribute of the subject, selecting a target microphone from a sound pickup assembly based on the attribute of the subject, and performing sound recording on the subject using the target microphone.

Abstract: A computer-implemented method is described and includes monitoring an audio signal received at a television to detect a sustained increase in a perceived loudness of the audio signal; subsequent to the detecting, providing a notification to a user regarding availability of a television volume leveling function; and subsequent to receiving from the user a response to the notification, wherein the response indicates an approval to activate the television volume leveling function, activating the volume leveling function. In particular embodiments, the monitoring is performed using Loudness Units relative to Full Scale (LUFS).

Abstract: An ear protector device designed to provide non-invasive protection for an individual's ear against debris, water, and potential injuries, due to scissors, chemicals, and other hair treatment tools. The device includes a waterproof side forming the exterior and a non-waterproof side in contact with the ear when the device is worn. An elastic band is sewn along the periphery to allow for a snug fit around the ear, with an adjustable opening to accommodate different ear sizes. The device's single-piece construction and heat resistance provide additional safeguarding against potential burns. In some embodiments, the ear protector device includes a built-in Bluetooth speaker integrated into the inner surface, enabling users to talk or to listen to music discreetly while maintaining privacy.

Abstract: A hearing device includes a signal processor, the signal processor being configured for determining a hearing device mode of operation, the hearing device mode comprising a first mode and a second mode. The hearing device further comprises a first wireless communication unit and a second wireless communication unit, and an electrical antenna for emission and reception of electromagnetic radiation. The antenna is configured to resonate at a first frequency. The hearing device further comprises an active matching device configured to interconnect the first and the second wireless communication unit with the antenna, wherein the active matching device in the first mode is configured to enable the antenna to emit and receive electromagnetic radiation at the first frequency and wherein the active matching device in the second mode is configured to adjust antenna characteristics of the antenna to enable the antenna to emit and receive electromagnetic radiation at the second frequency.

Abstract: A device includes memory configured to store audio data and one or more processors configured to obtain the audio data captured by a microphone of a wearable device. The instructions further cause the one or more processors to determine, based on one or more signals exchanged between the wearable device and a reference device, directionality information indicative of a direction of the microphone relative to the reference device. The instructions also cause the one or more processors to process the audio data based on the directionality information to generate spatial audio data.

Abstract: A record identification method comprises, at a computing device having a machine learning model operating therein, obtaining event occurrence record(s) indicative of occurrence of at least one event, each of the event occurrence record(s) having a first plurality of attributes associated therewith, executing the machine learning model to determine a probability distribution of the first plurality of attributes, receiving witness statement(s) relating to an incident, each of the witness statement(s) having a respective second plurality of attributes associated therewith, comparing the probability distribution of the first plurality of attributes to a probability distribution of the respective second plurality of attributes, identifying, based on the comparing, at least one of the event occurrence record(s) for which the probability distribution of the first plurality of attributes matches the probability distribution of the respective second plurality of attributes, and outputting the at least one of the event

Abstract: According to an embodiment, a generation method includes setting and writing. The setting is to set one of multiple first nodes as a second node. The multiple first nodes are included in a directed graph and are each assigned with an ID. The multiple first nodes respectively correspond to multiple first vectors included in a search range. The writing is to write an information piece that is an element related to the second node out of elements of index information corresponding to the directed graph. The information piece includes a second vector that is a first vector corresponding to a second node out of the multiple first vectors. The information piece includes an ID and a third vector for each of third nodes. The third nodes are all out-neighbor nodes of the second node. The third vector corresponds to one of the third nodes.

Abstract: A device to test the seal quality of an earpiece. Audio processing circuitry produces an audio signal for driving a speaker. Output from the microphone while the speaker is being driven by the audio signal is used to determine the seal. The device or method further includes control circuitry to evaluate a seal quality of the device. Other embodiments are disclosed.

Abstract: A digital microphone includes a logarithmic amplifier; an analog-to-digital converter (ADC) coupled to the logarithmic amplifier; a digital decompression component coupled to the ADC; and a digital filter coupled to the digital decompression component, wherein the digital filter includes a controlled upsampling component coupled to an input of the digital filter and a controlled downsampling component coupled to an output of the digital filter.

Abstract: Disclosed are a system, a device, and/or a method of sleep assistance through generation and evaluation of generative sleep content and/or sleep improvement interventions including training, adjusting, mediating, and/or integrating outputs of one or more AI models. In one embodiment, a system includes an earbud generating an audio generation request through a voice interface, which is parsed by a sleep assistance server to extract a narrative prompt. A generative content server inputs the narrative prompt into an artificial neural network to generate a text data, and then text-to-speech model to generate a narrative audio. A content integration routine may overlay the narrative audio data with additional music and/or physiological guidance data. A generative audio data is returned to the earbud to assist in achieving sleep. The system may evaluate physiological data to determine effectiveness of the sleep assistance audio, and may augment, fine-tune, and/or retrain one or more AI models.

Abstract: Embodiments relate to audio stream and address processing methodologies, which is applicable to exemplary methods and devices including a first terminal device. The first terminal device establishes a connection to the vehicle, and switches a play device of audio streams in a first category and a second category from the first terminal device to the vehicle; and in a process in which the first terminal device and the vehicle are in a connected state, upon detecting that the first terminal device is moved from the inside of the vehicle to the outside of the vehicle, obtains a target category corresponding to the target audio stream being played by the vehicle. The target audio stream is generated by the first terminal device and sent to the vehicle. The vehicle continues to play the target audio stream if the target category is the first category.

Abstract: Methods of classifying and using acoustic filters for active noise control in hearing systems, such as headphones. The acoustic filters are determined and stored in a memory in the hearing system, making it therefore possible to quickly and efficiently select and use a certain filter in order to improve filter performance and filter stability in the hearing system.