US 2019/0355366 A1 · SPEAKER RECOGNITION

Abstract

A speaker recognition system comprises (i) at least one microphone operable to output data representing speech of a speaker and (ii) a controller. The controller is operable to: (a) receive the data output from the at least one microphone; (b) process the received data using a first artificial neural network to obtain first output data, the first artificial neural network having been trained based on outputs of a second artificial neural network, the second artificial neural network having been trained to perform speaker recognition; and (c) identify the speaker using the first output data. The first artificial neural network comprises fewer layers and/or fewer parameters than the second artificial neural network. The first artificial neural network is configured to emulate a result derivable using an output of the second artificial neural network.

Claims23

Dependent claims

A speaker recognition system comprising:

at least one microphone operable to output data representing speech of a speaker;
and
a controller operable to:
receive the data output from the at least one microphone;
process the received data using a first artificial neural network to obtain first output data, the first artificial neural network having been trained based on outputs of a second artificial neural network, the second artificial neural network having been trained to perform speaker recognition;
and
identify the speaker using the first output data,
wherein the first artificial neural network comprises fewer layers and/or fewer parameters than the second artificial neural network, and
wherein the first artificial neural network is configured to emulate a result derivable using an output of the second artificial neural network.

6 more elements

A computer-implemented method for performing speaker recognition, the method comprising:

receiving data from at least one microphone, the data representing speech of a speaker;
processing the received data using a first artificial neural network to obtain first output data, the first artificial neural network having been trained based on outputs of a second artificial neural network, the second artificial neural network having been trained to perform speaker recognition;
and
identifying the speaker using the first output data,
wherein the first artificial neural network comprises fewer layers and/or fewer parameters than the second artificial neural network, and
wherein the first artificial neural network is configured to emulate a result derivable using an output of the second artificial neural network.

3 more elements

Dependencies are inferred from the claim text.

Speaker recognition

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Speaker recognition

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Abstract

Claims23