Abstract: A head-mounted display device includes a front-end assembly, a plurality of support arms, a plurality of counterweight parts and a plurality of brackets. The plurality of support arms are respectively connected to the front-end assembly. The plurality of counterweight parts are respectively slidably arranged to the plurality of support arms and away from the front assembly. The plurality of brackets are respectively connected to the plurality of counterweight parts and used for contacting the head of the user. The brackets are separated from each other. Each of the brackets has an upper part and a lower part. The upper parts of the brackets are adapted to support the upper part of the back of the user's head. The lower parts of the brackets are adapted to support the lower part of the back of the user's head.

Abstract: A structure includes a substrate, a transistor, a contact, an oxygen-free etch stop layer, an oxygen-containing etch stop layer, a dielectric layer, and a via. The transistor is on the substrate. The contact is on a source/drain region of the transistor. The oxygen-free etch stop layer spans the contact. The oxygen-containing etch stop layer extends along a top surface of the oxygen-free etch stop layer. The dielectric layer is over the oxygen-containing etch stop layer. The via passes through the dielectric layer, the oxygen-containing etch stop layer, and the oxygen-free etch stop layer and lands on the contact. The memory stack lands on the via.

Abstract: Embodiments of the present disclosure relate to forming a nanosheet multi-channel device with an additional spacing layer and a hard mask layer. The additional spacing layer provides a space for an inner spacer above the topmost channel. The hard mask layer functions as an etch stop during metal gate etch back, providing improve gate height control.

Abstract: This application discloses a multi-sound area-based speech detection method and related apparatus, and a storage medium, which is applied to the field of artificial intelligence. The method includes: obtaining sound area information corresponding to each sound area in N sound areas; using the sound area as a target detection sound area, and generating a control signal corresponding to the target detection sound area according to sound area information corresponding to the target detection sound area; processing a speech input signal corresponding to the target detection sound area by using the control signal corresponding to the target detection sound area, to obtain a speech output signal corresponding to the target detection sound area; and generating a speech detection result of the target detection sound area according to the speech output signal corresponding to the target detection sound area.

Abstract: The present disclosure provides a motor with a grounded rotor. The motor includes a stator and a rotor. The stator includes a bearing seat, a conductive plate and an elastic element. The bearing seat receives a first bearing and a second bearing. The conductive plate is disposed in the bearing seat and has at least one overlapping foot convexly formed thereon. The elastic element is arranged between the first bearing and the second bearing, and integrally formed with the at least one overlapping foot into one piece. The rotor includes a rotating shaft. The rotating shaft is inserted in the first bearing and the second bearing along the axial direction. The conductive plate and the rotating shaft are electrically connected to each other.

Abstract: A fixing device for accurately fixing an optical assembly to a rear housing of an electronic device fixes the optical assembly in a predetermined position and includes a cover plate. The cover plate defines a hole and a limiting portion. The hole corresponds to a photosensitive portion of the optical assembly and the photosensitive portion is configured to protrude out of the cover plate. The limiting portion is configured to limit a movement of the optical assembly away from the rear housing before being fixed in position. The fixing device fixes the optical assembly in the predetermined position so that the assembly accuracy and efficiency are improved. An optical module including the fixing device, and an electronic device including the optical module are also provided.

Abstract: A memory device includes a semiconductor substrate, a first dielectric layer, a metal contact, an aluminum nitride layer, an aluminum oxide layer, a second dielectric layer, a metal via, and a memory stack. The first dielectric layer is over the semiconductor substrate. The metal contact passes through the first dielectric layer. The aluminum nitride layer extends along a top surface of the first dielectric layer and a top surface of the metal contact. The aluminum oxide layer extends along a top surface of the aluminum nitride layer. The second dielectric layer is over the aluminum oxide layer. The metal via passes through the second dielectric layer, the aluminum oxide layer, and the aluminum nitride layer and lands on the metal contact. The memory stack lands on the metal via.

Abstract: A plural-fans driving apparatus is provided to drive a first fan and a second fan, and the first fan and the second fan are three-phase fans. The plural-fans driving apparatus includes a controller, a first three-phase motor driver structure, a second three-phase motor driver structure, and a protection and input interface circuit. The protection and input interface circuit is coupled to the first three-phase motor driver structure and the second three-phase motor driver structure, and protects the first three-phase motor driver structure and the second three-phase motor driver structure. The controller controls the first three-phase motor driver structure to drive the first fan, and controls the second three-phase motor driver structure to drive the second fan.

Abstract: A face anti-counterfeiting detection method includes: obtaining an image or video to be detected containing a face; extracting a feature of the image or video to be detected, and detecting whether the extracted feature contains counterfeited face clue information; and determining whether the face passes the face anti-counterfeiting detection according to a detection result.

Abstract: A method, computer system, and computer readable medium are provided for activating speech recognition based on keyword spotting (KWS). Waveform data corresponding to one or more speakers is received. One or more direction features are extracted from the received waveform data. One or more keywords are determined from the received waveform data based on the one or more extracted features. Speech recognition is activated based on detecting the determined keyword.

Abstract: A rotor-grounded motor including a stator, a rotor and a conductive plate. The stator is disposed with a bearing seat, and the bearing seat accommodates a bearing. The rotor includes a rotating shaft, and the rotating shaft is inserted in the bearing and electrically connected therewith. The conductive plate is disposed on the bearing seat, and one end of the conductive plate is connected to the bearing and the other end is electrically connected to a grounding terminal. The rotating shaft and the grounding terminal are electrically connected.

Abstract: A multi-person speech separation method is provided for a terminal. The method includes extracting a hybrid speech feature from a hybrid speech signal requiring separation, N human voices being mixed in the hybrid speech signal, N being a positive integer greater than or equal to 2; extracting a masking coefficient of the hybrid speech feature by using a generative adversarial network (GAN) model, to obtain a masking matrix corresponding to the N human voices, wherein the GAN model comprises a generative network model and an adversarial network model; and performing a speech separation on the masking matrix corresponding to the N human voices and the hybrid speech signal by using the GAN model, and outputting N separated speech signals corresponding to the N human voices.

Abstract: Methods, apparatuses, electronic devices, and storage media for information delivery are provided. In one aspect, a method includes: acquiring a face image of at least one delivery object, determining a face attribute according to the face image, a delivery object corresponding to a set of face attributes, obtaining target delivery information for the face attribute, and delivering the target delivery information for the face attribute.

Abstract: A method, computer program, and computer system is provided for automated speech recognition. Audio data corresponding to one or more speakers is received. Covariance matrices of target speech and noise associated with the received audio data are estimated based on a gated recurrent unit-based network. A predicted target waveform corresponding to a target speaker from among the one or more speakers is generated by a minimum variance distortionless response function based on the estimated covariance matrices.

Abstract: Embodiments of the present disclosure relate to forming a nanosheet multi-channel device with an additional spacing layer and a hard mask layer. The additional spacing layer provides a space for an inner spacer above the topmost channel. The hard mask layer functions as an etch stop during metal gate etch back, providing improve gate height control.

Abstract: A plural-fans driving apparatus is provided to drive a first fan and a second fan, and the first fan and the second fan are three-phase fans. The plural-fans driving apparatus includes a controller, a first three-phase motor driver structure, a second three-phase motor driver structure, and a protection and input interface circuit. The protection and input interface circuit is coupled to the first three-phase motor driver structure and the second three-phase motor driver structure, and protects the first three-phase motor driver structure and the second three-phase motor driver structure. The controller controls the first three-phase motor driver structure to drive the first fan, and controls the second three-phase motor driver structure to drive the second fan.

Abstract: A method, computer system, and computer readable medium are provided for automatic speech recognition. Video data and audio data corresponding to one or more speakers is received. A minimum variance distortionless response function is applied to the received audio and video data. A predicted target waveform corresponding to a target speaker from among the one or more speakers is generated based on back-propagating the output of the applied minimum variance distortionless response function.

Abstract: A system for planning a fitness exercise course includes a corresponding module establishing a corresponding relationship between a training target and each of a plurality of fitness exercise items, wherein the training target includes a specific muscle, a muscle group and a whole body muscle; a sensing module sensing a physiological state of a body builder; and a determining module, according to the corresponding relationship, in response to the physiological state, selecting one of the plurality of fitness exercise items and a combination of fitness exercise items to complete the training target.

Abstract: A fixing structure used to connect a display panel to a housing of an electronic device during manufacture of the electronic device includes a fixing member, an auxiliary member spaced apart from the fixing member, and supporting posts disposed between the fixing member and the auxiliary member. The fixing member is to be bonded to the display panel. A projection of an outer edge of the auxiliary member on a plane of the fixing member is outside of an outer edge of the fixing member. The supporting posts and the auxiliary member are removed after the display panel is bonded to the fixing member. A method for assembling the display panel with the fixing structure is also disclosed.

Abstract: A method, computer system, and computer readable medium are provided for activating speech recognition based on keyword spotting (KWS). Waveform data corresponding to one or more speakers is received. One or more direction features are extracted from the received waveform data. One or more keywords are determined from the received waveform data based on the one or more extracted features. Speech recognition is activated based on detecting the determined keyword.