Method, apparatus and system for neural network hearing aid
The disclosure generally relates to a method, system and apparatus to improve a user's understanding of speech in real-time conversations by processing the audio through a neural network contained in a hearing device. The hearing device may be a headphone or hearing aid. In one embodiment, the disclosure relates to an apparatus to enhance incoming audio signal. The apparatus includes a controller to receive an incoming signal and provide a controller output signal; a neural network engine (NNE) circuitry in communication with the controller, the NNE circuitry activatable by the controller, the NNE circuitry configured to generate an NNE output signal from the controller output signal; and a digital signal processing (DSP) circuitry to receive one or more of controller output signal or the NNE circuitry output signal to thereby generate a processed signal; wherein the controller determines a processing path of the controller output signal through one of the DSP or the NNE circuitries as a function of one or more of predefined parameters, incoming signal characteristics and NNE circuitry feedback.
1 . An ear-worn device, comprising:
front-end circuitry configured to receive and digitize an incoming audio signal and output a digitized version of the incoming audio signal;
neural network engine (NNE) circuitry configured to detect speech presence in the digitized version of the incoming audio signal;
digital signal processing (DSP) circuitry configured to perform noise reduction on the digitized version of the incoming audio signal; and
control circuitry configured to:
determine a denoising level based on the speech presence detected by the NNE circuitry; and
control the DSP circuitry to perform the noise reduction at the denoising level, wherein:
the ear-worn device is configured to:
pass the digitized version of the incoming audio signal to the NNE circuitry at first intervals; and
pass the digitized version of the incoming audio signal to the DSP circuitry at second intervals; and
the first intervals are less frequent than the second intervals.
2 . The ear-worn device of claim 1 , wherein the NNE circuitry is configured to detect the speech presence in about 32 milliseconds or less of receipt of the incoming audio signal by the ear-worn device.
3 . The ear-worn device of claim 1 , wherein the NNE circuitry is configured to perform at least 1 billion operations per second.
4 . The ear-worn device of claim 1 , wherein the NNE circuitry is configured to achieve at least 2 billion operations per milliwatt.
5 . The ear-worn device of claim 1 , wherein the NNE circuitry is configured to detect the speech presence with an associated power consumption of about 2 milliwatts or less.
6 . An ear-worn device, comprising:
front-end circuitry configured to receive and digitize an incoming audio signal and output a digitized version of the incoming audio signal;
neural network engine (NNE) circuitry configured to detect speech presence in the digitized version of the incoming audio signal;
digital signal processing (DSP) circuitry configured to perform noise reduction on the digitized version of the incoming audio signal; and
control circuitry configured to:
determine a denoising level based on the speech presence detected by the NNE circuitry; and
control the DSP circuitry to perform the noise reduction at the denoising level, wherein the NNE circuitry is implemented on a single chip in the ear-worn device.
7 . The ear-worn device of claim 6 , wherein the NNE circuitry is configured to detect the speech presence in about 32 milliseconds or less of receipt of the incoming audio signal by the ear-worn device.
8 . The ear-worn device of claim 6 , wherein the NNE circuitry is configured to perform at least 1 billion operations per second.
9 . The ear-worn device of claim 6 , wherein the NNE circuitry is configured to achieve at least 2 billion operations per milliwatt.
10 . The ear-worn device of claim 6 , wherein the NNE circuitry is configured to detect the speech presence with an associated power consumption of about 2 milliwatts or less.