A system for determining a location of a device includes at least two speakers and the device, where each speaker is configured to produce a unique sound. The device includes microphones for receiving sound and for providing signals corresponding thereto, a memory configured to store for each speaker a fingerprint of each unique sound and speaker location information, and a processor connected to the outputs. The processor is configured to determine, by comparing microphone signals to fingerprints, a difference in arrival time of a sound at two microphones, and determine, based on the differences in arrival time, an orientation of the device with respect to the speakers, and to determine the location of the device in the space.

Techniques for audio tagging of an object of interest are provided. An object of interest within a field of view of a first video camera may be identified at a first time. At least one audio tag representing a first sound created by the object of interest may be generated and associated with the object of interest. At a second time later than the first and at a second video camera, a second sound generated by an unidentified object that is not in the field of view of the second video camera may be detected. An audio tag representing the second tag may be generated. It may be determined that the object of interest and the unidentified object of interest are the same when the audio tag representing the first sound and the second sound are the same.

A method for facilitating a multiparty conversation is disclosed. An electronic device using the method may facilitate a multiparty conversation by identifying participants of a conversation, localizing relative positions of the participants, detecting speeches of the conversation, matching one of the participants to each of the detected speeches according to the relative positions of the participants, counting participations of the matched participant in the conversation, identifying a passive subject from all the participants according to the participations of all the participants in the conversation, finding a topic of the conversation between the participants, and engaging the passive subject by addressing the passive subject and speaking a sentence related to the topic.

A method and corresponding system for correcting for deviations in a performance that includes a plurality of audio sources, the method comprising detecting a parameter relating to an audio source, determining if the parameter deviates from a predetermined characteristic and in response to it being determined that the parameter deviates from the predetermined characteristic, causing display of a user interface configured to control the parameter, to allow a user to correct the deviation.

Techniques are provided for audio-based detection and tracking of an acoustic source. A methodology implementing the techniques according to an embodiment includes generating acoustic signal spectra from signals provided by a microphone array, and performing beamforming on the acoustic signal spectra to generate beam signal spectra, using time-frequency masks to reduce noise. The method also includes detecting, by a deep neural network (DNN) classifier, an acoustic event, associated with the acoustic source, in the beam signal spectra. The DNN is trained on acoustic features associated with the acoustic event. The method further includes performing pattern extraction, in response to the detection, to identify time-frequency bins of the acoustic signal spectra that are associated with the acoustic event, and estimating a motion direction of the source relative to the array of microphones based on Doppler frequency shift of the acoustic event calculated from the time-frequency bins of the extracted pattern.

A device for estimating Direction of Arrival (DOA) of sound from Q≥1 sound sources is provided. The device is configured to obtain a phase difference matrix, which includes measured phase difference values, each of the measured phase difference values being a measured value of a phase difference between two microphone units for a frequency bin in a range of frequencies of the sound. The device is further configured to generate a replicated phase difference matrix by replicating the measured phase difference values to other potential sinusoidal periods, calculate a DOA value for each phase difference value in the replicated phase difference matrix, and determine, as Q DOA results, the Q most prominent peak values in a histogram generated based on the calculated DOA values.

Proposed is a method for determining, by a movable robot, a position of a speaker, wherein the movable robot includes first to fourth microphones installed at four vertexes of a quadrangle of a horizontal cross section of the robot respectively, wherein the method includes: receiving a wake-up voice through first and third microphones disposed respectively at first and third vertices in a diagonal direction; obtaining a first reference value of the first microphone and a second reference value of the third microphone based on the received wake-up voice; comparing the obtained first and second reference values to select the first microphone; selecting a second microphone disposed at a second vertex, wherein the first and second microphones are on a front side of the quadrangle; calculating a sound source localization (SSL) value based on the selected first and second microphones; and tracking a position of the speaker based on the SSL value.

Technology relates to positional and quantitative analysis of noise emissions in a target area. Some embodiments have been developed to allow for triangulation of noise sources, thereby to assist in understanding noise levels originating from within the target area. While some embodiments will be described herein with particular reference to those applications, it will be appreciated that the present disclosure is not limited to such a field of use, and is applicable in broader contexts.

Systems and methods for virtually coupled resonators to determine an incidence angle of an acoustic wave are described herein. In one example, a system includes a processor and first and second transducers in communication with the processor. The first transducer produces a first signal in response to detecting an acoustic wave, while the second transducer produces a second signal in response to detecting the acoustic wave. The system may also include a memory in communication with the processor and having machine-readable instructions that cause the processor to modify the first signal and the second signal using a virtual resonator mapping function to generate a modified first signal and a modified second signal. The virtual resonator mapping function changes the first signal and the second signal to be representative of signals produced by transducers located within a hypothetical chamber of a hypothetical resonator.

An intelligent bed monitoring device and method are provided in this disclosure. The device is applied to a bed frame, and the bed frame includes a first bed board and a second bed board. The intelligent bed monitoring device includes a plurality of audio sensors, a processor and a controlling module. The processor is electrically connected to the audio sensors and the controlling module. The audio sensors are configured to detect a plurality of audio signals. The processor is configured to receive the audio signals, and calculate an audio source direction according to the audio signals. The controlling module is configured to control one of the first bed board and the second bed board according to the audio source direction to adjust one of the first bed board and the second bed board into a plurality of modes.