A pacification method based on emotion recognition, includes: acquiring at least one of a voice and an image of a user; determining whether the user has abnormal emotion, according to the at least one of the voice and the image of a user; and in response to the user having abnormal emotion, determining a pacification manner according to the emotion of the user, and performing emotional pacification on the user. An apparatus, a device and a storage medium are also provided.

In general, techniques are described by which to enable a transparency mode in vehicles. A device comprising one or more microphones and one or more processors may be configured to perform the techniques. The microphones may capture audio data representative of a sound scene external to a vehicle. The processors may perform beamforming with respect to the audio data to obtain object audio data representative of an audio object in the sound scene external to the vehicle. The processors may next reproduce, by interfacing with one or more speakers included within the vehicle and based on the object audio data, the audio object in the sound scene external to the vehicle.

The present invention relates to a novel animal-shaped wireless baby monitor device. The device is configured to capture video and audio of a baby being monitored and to transmit same to a remote electronic transceiver device. The monitor device includes a pair of flexible ears that can be folded to clamp the device onto a surface such as a crib bar. The device further includes a pair of clamping slots on the rear surface for receiving a clamp for clamping the device to a surface. The device communicates with a device-monitoring software application installed in the electronic device and receive configuration and communication requests from the application. The device can be a part of an Internet of Things (IoT) network.

Methods and apparatus for monitoring windlass rotation are provided to determine the real time rate and length of rode release when anchoring a boat. The rotation can be monitored in real time using directional sound and/or electromagnetic radiation receivers and/or transmitter in a module attached to the windlass. Another windlass module can monitor windlass rotation using micro-electromechanical systems (MEMS) components such as accelerometers, magnetometers, gyroscopes, and/or inertial measurement units (IMU) to sense motion and/or position.

The invention relates to a variable-directivity MEMS microphone. The microphone comprises an acoustic cavity. The following components are provided inside the acoustic cavity: a first acoustic transducer for detecting an acoustic signal and converting the acoustic signal into a first acoustic conversion signal; a first pre-amplifer, connected to the first acoustic transducer, and configured for outputting a first electric signal; a second acoustic transducer for detecting an acoustic signal and converting the acoustic signal into a second acoustic conversion signal; a second pre-amplifer, connected to the second acoustic transducer, and configured for outputting a second electric signal; and a signal processing chip, connected to the first pre-amplifer and the second pre-amplifer, and configured for generating a directional output signal by performing an arithmetic operation on the first electric signal and the second electric signal under the action of a switching control signal.

A communication system with a noise cancellation (NC) assembly providing adaptive or dynamic noise cancellation. The NC assembly includes a localizer module determining, during a communication session (active speaking or during idle times), a location of the active talker. The NC assembly includes a beam generator forming a beam in the determined direction of the active talker to enhance the active talker speech. Once the NC assembly has determined the position of the active talker, the NC assembly assigns a microphone of the microphone array or generated beam in that active direction to be the “active signal” source. The NC assembly assigns a second microphone or beam to be the noise source for NC purposes, and this source may be selected to be in acoustic shadow of the first microphone used as the active signal source or may be the farthest away in its position from the active talker's position.

A conference gallery view intelligence system determines regions of interest for display within views of conferencing software based on input streams received from devices within a conference room during a conference. Conference participants are detected in the conference room based on an input video stream received from a video capture device. A direction of audio from the conference participants is determined based on an input audio stream received from a multi-directional audio capture device. A conversational context within the conference room is then determined based on the direction of the audio and locations of the one or more conference participants in the conference room. A region of interest to output within conferencing software is determined based on the conversational context, and the region of interest is output for display within a view of the conferencing software.

Embodiments relate to an audio system for various audio applications. The audio system registers the locations of one or more sound sources and selects the target sound source based on a hidden Markov model. A health monitoring system that integrates an audio system may use information collected by sensors to monitor an amount of social interaction of a user and predict a risk of dementia and/or hearing loss based on a model. The audio system uses a current/voltage sensor to detect electrical drive signals for determining a level of audio leakage of the audio system. Additionally, the audio system may update a video stream with an audio background based on an artificial visual background in the video stream so that the updated video stream sounds as if it originated from the user being located in a physical representation related to the background.

A method comprises outputting at least one test signal to a listening environment via a loudspeaker, receiving each of the at least one test signal via a microphone arranged in the listening environment, determining at least one of a position and an orientation of the microphone in the listening environment with respect to the loudspeaker at the time of receipt of each of the at least one test signal, evaluating the test signals received by the microphone, and determining at least one aspect related to at least one transfer function based on the evaluation of the test signal and on at least one of the position and the orientation of the microphone.

In various embodiments, a communication application selectively modifies sounds associated with a selected location or entity in one or more images. In operation, the communication application receives an image of an environment of a first device and an audio signal associated with the environment. The communication application receives first user input selecting a location in the image, and modifies a first sound included in the audio signal based on the selected location in the image, where at least a portion of the audio signal is unmodified.