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:
an integrated circuit (IC) having formed thereon:
a frontend receiver configured to:
receive an incoming audio signal from a microphone;
digitize the incoming audio signal using an analog-to-digital converter; and
communicate with a second ear-worn device using near-field magnetic induction;
neural network engine (NNE) circuitry configured to reduce noise in the incoming audio signal using a neural network implemented by the NNE circuitry, wherein:
the NNE circuitry is configured to perform at least 1 billion operations per second;
the NNE circuitry is configured to achieve at least 2-3 billion operations per milliwatt; and
the NNE circuitry is configured to process the digitized incoming audio signal with an associated power consumption of about 2 milliwatts or less;
digital signal processing (DSP) circuitry configured to perform active noise cancellation (ANC); and
communication circuitry configured to communicate with an external device using a low-energy protocol.
2 . The ear-worn device of claim 1 , wherein the NNE circuitry is configured to reduce the noise in the incoming audio signal based on a user selection of an operating mode through an application on a smartphone of the user.
3 . The ear-worn device of claim 1 , wherein the NNE circuitry is configured to reduce the noise in the incoming audio signal based on a user selection of an operating mode through an input on the ear-worn device.
4 . The ear-worn device of claim 1 , wherein the NNE circuitry is configured to enhance sequentially-received signal samples of the incoming audio signal and then output a processed signal as a continuous audible signal based on the enhanced sequentially-received signal samples.
5 . The ear-worn device of claim 4 , wherein the continuous audible signal is generated in about 32 milliseconds or less of receipt of the incoming audio signal.
6 . The ear-worn device of claim 1 , wherein the NNE circuitry is configured to obtain a speech component of the incoming audio signal by:
estimating a complex ratio mask for the incoming audio signal; or
subtracting a noise component of the incoming audio signal from the incoming audio signal.
7 . The ear-worn device of claim 1 , wherein the NNE circuitry is configured to obtain a noise component of the incoming audio signal by:
estimating a complex ratio mask for the incoming audio signal; or
subtracting a speech component of the incoming audio signal from the incoming audio signal.
8 . The ear-worn device of claim 1 , wherein the DSP circuitry is configured to perform one or more of dynamic range compression, amplification, and frequency tuning.
9 . The ear-worn device of claim 1 , further comprising a wake word module configured to receive a wake word and activate a function based on receiving the wake word.
10 . The ear-worn device of claim 1 , wherein the neural network comprises at least 1 million units.
11 . An integrated circuit (IC) having formed thereon:
a frontend receiver configured to:
receive an incoming audio signal from a microphone;
digitize the incoming audio signal using an analog-to-digital converter; and
communicate with a second device using near-field magnetic induction;
neural network engine (NNE) circuitry configured to reduce noise in the incoming audio signal using a neural network implemented by the NNE circuitry, wherein:
the NNE circuitry is configured to perform at least 1 billion operations per second;
the NNE circuitry is configured to achieve at least 2-3 billion operations per milliwatt; and
the NNE circuitry is configured to process the digitized incoming audio signal with an associated power consumption of about 2 milliwatts or less;
digital signal processing (DSP) circuitry configured to perform active noise cancellation (ANC); and
communication circuitry configured to communicate with an external device using a low-energy protocol.
12 . The IC of claim 11 , wherein the NNE circuitry is configured to reduce the noise in the incoming audio signal based on a user selection of an operating mode through an application on a smartphone of the user.
13 . The IC of claim 11 , wherein the NNE circuitry is configured to reduce the noise in the incoming audio signal based on a user selection of an operating mode through an input on an ear-worn device that contains the IC.
14 . The IC of claim 11 , wherein the NNE circuitry is configured to enhance sequentially-received signal samples of the incoming audio signal and then output a processed signal as a continuous audible signal based on the enhanced sequentially-received signal samples.
15 . The IC of claim 14 , wherein the continuous audible signal is generated in about 32 milliseconds or less of receipt of the incoming audio signal.
16 . The IC of claim 11 , wherein the NNE circuitry is configured to obtain a speech component of the incoming audio signal by:
estimating a complex ratio mask for the incoming audio signal; or
subtracting a noise component of the incoming audio signal from the incoming audio signal.
17 . The IC of claim 11 , wherein the NNE circuitry is configured to obtain a noise component of the incoming audio signal by:
estimating a complex ratio mask for the incoming audio signal; or
subtracting a speech component of the incoming audio signal from the incoming audio signal.
18 . The IC of claim 11 , wherein the DSP circuitry is configured to perform one or more of dynamic range compression, amplification, and frequency tuning.
19 . The IC of claim 11 , further comprising a wake word module configured to receive a wake word and activate a function based on receiving the wake word.
20 . The IC of claim 11 , wherein the neural network comprises at least 1 million units.