US 12,143,775 B2
Hearing device comprising a detector and a trained neural network
Michael Syskind Pedersen, Smørum (DK); Asger Heidemann Andersen, Smørum (DK); Jesper Jensen, Smørum (DK); Nels Hede Rohde, Smørum (DK); Anders Brødløs Olsen, Smørum (DK); Michael Smed Kristensen, Ballerup (DK); Thomas Bentsen, Smørum (DK); and Svend Oscar Petersen, Smørum (DK)
Assigned to Oticon A/S, Smørum (DK)
Filed by Oticon A/S, Smørum (DK)
Filed on Nov. 7, 2022, as Appl. No. 17/981,648.
Application 17/981,648 is a continuation of application No. 17/060,732, filed on Oct. 1, 2020, granted, now 11,540,063.
Claims priority of application No. 19202002 (EP), filed on Oct. 8, 2019.
Prior Publication US 2023/0056617 A1, Feb. 23, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. H04R 25/00 (2006.01); G06N 3/063 (2023.01); G10L 15/08 (2006.01); G10L 17/00 (2013.01)
CPC H04R 25/507 (2013.01) [G06N 3/063 (2013.01); G10L 15/08 (2013.01); G10L 17/00 (2013.01); H04R 25/554 (2013.01); G10L 2015/088 (2013.01); H04R 2225/67 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A hearing device configured to be located at or in an ear, or to be fully or partially implanted in the head, of a user, the hearing device comprising
an input transducer comprising at least one microphone for providing at least one electric input signal representative of sound in the environment of the hearing device,
a pre-processor for processing said at least one electric input signal and providing a multitude of feature vectors, each being representative of a time segment of said at least one electric input signal,
a neural network processor adapted to implement a neural network for implementing a detector, or a part thereof, configured to provide an output indicative of a characteristic property of the at least one electric input signal, the neural network comprising an input layer and an output layer and a number of hidden layers, each layer comprising a number of nodes, each node being defined by a number of node parameters, the neural network being configured to receive said multitude of feature vectors as input vectors and to provide corresponding output vectors representative of said output of said detector, or a part thereof, in dependence of said input vectors,
a post-processor configured to receive said output vectors, and wherein said post-processor is configured to process said output vectors and to provide a resulting signal,
a transceiver comprising a transmitter and a receiver for establishing a communication link at least to an auxiliary device, said communication link allowing transmission and reception of data to and from, respectively, said auxiliary device in a particular adaptation-mode of operation,
a selector for, in said particular adaptation-mode of operation, routing said feature vectors to said transmitter for transmission to said another part or device or server and, in a normal mode of operation, to route said feature vectors to said neural network processor for use as inputs to said neural network,
wherein the hearing device is configured to enter said particular adaptation-mode of operation in response to being connected to an auxiliary device, said auxiliary device being configured to select from among multiple pre-trained neural networks one tailored to the user's needs,
wherein the hearing device is configured to, in said particular adaptation-mode of operation, receive data from said auxiliary device to implement the selected one of the pre-trained neural networks as the neural network in the neural network processor.