Disclosed herein are system, apparatus, article of manufacture, method, and/or computer program product embodiments for a mobile device based control device locator. An embodiment operates by receiving a request to locate a control device, transmitting acoustic token transmission information to the control device to activate an electroacoustic transducer on the control device, receiving an acoustic signal including an acoustic token signal from the control device via a plurality of acoustic sensors, and determining distance information of the control device based on the received acoustic token signal generated by the electroacoustic transducer of the control device.

Implementations can detect respective audio data that captures an acoustic event at multiple assistant devices in an ecosystem that includes a plurality of assistant devices, process the respective audio data locally at each of the multiple assistant devices to generate respective measures that are associated with the acoustic event using respective event detection models, process the respective measures to determine whether the detected acoustic event is an actual acoustic event, and cause an action associated with the actional acoustic event to be performed in response to determining that the detected acoustic event is the actual acoustic event. In some implementations, the multiple assistant devices that detected the respective audio data are anticipated to detect the respective audio data that captures the actual acoustic event based on a plurality of historical acoustic events being detected at each of the multiple assistant devices.

A multi-microphone algorithm for detecting and differentiating interference sources from desired talker speech in advanced audio processing for smart home applications is described. The approach is based on characterizing a persistent interference source when sounds repeated occur from a fixed spatial location relative to the device, which is also fixed. Some examples of such interference sources include TV, music system, air-conditioner, washing machine, and dishwasher. Real human talkers, in contrast, are not expected to remain stationary and speak continuously from the same position for a long time. The persistency of an acoustic source is established based on identifying historically-recurring inter-microphone frequency-dependent phase profiles in multiple time periods of the audio data. The detection algorithm can be used with a beamforming processor to suppress the interference and for achieving voice quality and automatic speech recognition rate improvements in smart home applications.

An apparatus for providing direction information based on a reproduced audio signal with an embedded watermark includes a signal processor, which is adapted to process at least two received watermarked audio signals recorded by at least two audio receivers at different spatial positions. The signal processor is adapted to process the received watermarked audio signals to obtain a receiver-specific information for each received watermarked audio signal. The receiver-specific information depends on the embedded watermarks embedded in the received watermarked audio signals. Moreover, the apparatus includes a direction information provider for providing direction information based on the receiver-specific information for each received watermarked audio signal.

An apparatus for providing direction information based on a reproduced audio signal with an embedded watermark includes a signal processor, which is adapted to process at least two received watermarked audio signals recorded by at least two audio receivers at different spatial positions. The signal processor is adapted to process the received watermarked audio signals to obtain a receiver-specific information for each received watermarked audio signal. The receiver-specific information depends on the embedded watermarks embedded in the received watermarked audio signals. Moreover, the apparatus includes a direction information provider for providing direction information based on the receiver-specific information for each received watermarked audio signal.

Iterative methods for direction of arrival estimation of a signal at a receiver with a plurality of spatially separated sensor elements are described. A quantized estimate of the angle of arrival is obtained from a compressive sensing solution of a set of equations. The estimate is refined in a subsequent iteration by a computed error based a quantized estimate of the direction of arrival in relation to quantization points offset from the quantization points for the first quantized estimate of the angle of arrival. The iterations converge on an estimated direction of arrival.

Disclosed are an ultrasonic processing method and apparatus, an electronic device, and a computer-readable medium, wherein same relate to the technical field of mobile terminals. The method includes: when it is monitored that an electronic device outputs a ringing sound, acquiring audio data of an ultrasonic signal received by an ultrasonic receiving apparatus, wherein the ultrasonic signal is a signal that is transmitted by an ultrasonic transmitting apparatus and returned after same is reflected by an object; determining, according to the audio data, a change in the distance between the electronic device and the object; and adjusting the volume of the ringing according to the change in the distance.

Disclosed are an ultrasonic processing method and apparatus, an electronic device, and a computer-readable medium, wherein same relate to the technical field of mobile terminals. The method includes: when it is monitored that an electronic device outputs a ringing sound, acquiring audio data of an ultrasonic signal received by an ultrasonic receiving apparatus, wherein the ultrasonic signal is a signal that is transmitted by an ultrasonic transmitting apparatus and returned after same is reflected by an object; determining, according to the audio data, a change in the distance between the electronic device and the object; and adjusting the volume of the ringing according to the change in the distance.

Example techniques relate to playback based on acoustic signals in a system including a first network device and a second network device. A first network device may detect a presence of a user using a camera and/or infrared sensors. The first network device sends, in response to detecting the presence of the user, a particular signal via the first network interface. The second network device receives data corresponding to the particular signal and plays back an audio output corresponding to the particular signal.

Example techniques relate to playback based on acoustic signals in a system including a first network device and a second network device. A first network device may detect a presence of a user using a camera and/or infrared sensors. The first network device sends, in response to detecting the presence of the user, a particular signal via the first network interface. The second network device receives data corresponding to the particular signal and plays back an audio output corresponding to the particular signal.