Dsp Group Limited

Onkyo Corporation

Dmitri Lvov

Yaakov Chen

Adoram Erell

Lior Blanka

Yaron Naim

Yoshitada Takeshima

Maor Shliefer

Uri Tuval

A method for controlling a bias of a neural network, the method may include training the neural network by using a loss function that is responsive to classes of a classification process and sensitivity input values thereby setting the bias.

Post-training control of the bias of neural networks

A first mobile communication device that includes a first microphone, a first speaker, and a first delay unit. The first microphone is configured to (i) receive, during a conference call, a first user first microphone signal from a first user, and (ii) output a first microphone digital signal to the first delay unit. The first user first microphone signal represents audio content outputted by the first user. The first delay unit is configured to delay, by a delay period, the first microphone digital signal to provide a delayed first user first device digital signal. The first mobile communication device is configured to output, to a mixer, the delayed first user first device digital signal. The delay period is determined based on measurements executed by at least one mobile communication device out of the first mobile communication device, a second mobile communication device and a third mobile communication device.

Conference call and mobile communication devices that participate in a conference call

A method for distributed neural network processing, the method may include detecting, by a local neural network that belongs to a local device, and based on sensed information, an occurrence of a triggering event for executing or completing a classification or detection process; sending to a remote device, a request for executing or completing the classification or detection process by a remote device that comprises a remote neural network; wherein the remote neural network has more computational resources than the local neural network; determining by the remote device whether to accept the request; and executing or completing, by the remote device, the classification or detection process when determining to accept the request; wherein the executing or completing involves utilizing the remote neural network.

Distributed processing of sensed information

Provided is a wearable audio input/output device. The wearable audio input/output device is provided with a frame, a first audio collection unit, a second audio collection unit, and a first speaker. The frame can be mounted to a user. The first audio collection unit is provided on the frame. The second audio collection unit is provided on the frame. The second audio collection unit is arranged such that the distance between the first audio collection unit and mouth of the user is less than the distance between the second audio collection unit and the mouth of the user. The first speaker is provided on the frame between the first audio collection unit and the second audio collection unit.

Growing community of inventors

Ramat Hasharon, Israel

Dmitri Lvov