System and method for data augmentation for multi-microphone signal processing
A method, computer program product, and computing system for receiving a speech signal from each microphone of a plurality of microphones, thus defining a plurality of signals. One or more noise signals associated with microphone self-noise may be received. One or more self-noise-based augmentations may be performed on the plurality of signals based upon, at least in part, the one or more noise signals associated with microphone self-noise, thus defining one or more self-noise-based augmented signals.
1. A computer-implemented method, executed on a computing device, comprising:
receiving a speech signal from each microphone of a plurality of microphones, thus defining a plurality of signals;
receiving one or more noise signals associated with microphone self-noise;
performing one or more self-noise-based augmentations on the plurality of signals based upon, at least in part, the one or more noise signals associated with microphone self-noise, thus defining one or more self-noise-based augmented signals;
receiving a selection of a target microphone array from a library of target microphone arrays by providing particular self-noise characteristics associated with the target microphone array; and
performing one or more self-noise-based augmentations on the plurality of signals based upon, at least in part, the target microphone array.
2. The computer-implemented method of claim 1 , wherein receiving the one or more noise signals associated with microphone self-noise includes simulating a model representative of microphone self-noise.
3. The computer-implemented method of claim 1 , receiving the one or more noise signals associated with microphone self-noise includes measuring self-noise from at least one microphone.
4. The computer-implemented method of claim 1 , wherein performing the one or more self-noise-based augmentations on the plurality of signals based upon, at least in part, the one or more noise signals associated with microphone self-noise includes adding a noise signal from the one or more noise signals to the speech signal from each microphone.
5. The computer-implemented method of claim 4 , wherein adding a noise signal to the speech signal from each microphone includes adding a noise signal from the one or more noise signals to the speech signal from each microphone based upon, at least in part, a predefined signal-to-noise ratio for the one or more self-noise-based augmented signals.
6. The computer-implemented method of claim 4 , wherein adding a noise signal from the one or more noise signals to the speech signal from each microphone includes adding a random noise signal from the one or more noise signals to the speech signal from each microphone.
7. The computer-implemented method of claim 1 , wherein the plurality of microphones define a microphone array.
8. A computer program product residing on a non-transitory computer readable medium having a plurality of instructions stored thereon which, when executed by a processor, cause the processor to perform operations comprising:
receiving a speech signal from each microphone of a plurality of microphones, thus defining a plurality of signals;
receiving one or more noise signals associated with microphone self-noise;
performing one or more self-noise-based augmentations on the plurality of signals based upon, at least in part, the one or more noise signals associated with microphone self-noise, thus defining one or more self-noise-based augmented signals;
receiving a selection of a target microphone array from a library of target microphone arrays by providing particular self-noise characteristics associated with the target microphone array; and
performing one or more self-noise-based augmentations on the plurality of signals based upon, at least in part, the target microphone array.
9. The computer program product of claim 8 , wherein receiving the one or more noise signals associated with microphone self-noise includes simulating a model representative of microphone self-noise.
10. The computer program product of claim 8 , wherein receiving the one or more noise signals associated with microphone self-noise includes measuring self-noise from at least one microphone.
11. The computer program product of claim 8 , wherein performing the one or more self-noise-based augmentations on the plurality of signals based upon, at least in part, the one or more noise signals associated with microphone self-noise includes adding a noise signal from the one or more noise signals to the speech signal from each microphone.
12. The computer program product of claim 11 , wherein adding a noise signal to the speech signal from each microphone includes adding a noise signal from the one or more noise signals to the speech signal from each microphone based upon, at least in part, a predefined signal-to-noise ratio for the one or more self-noise-based augmented signals.
13. The computer program product of claim 11 , wherein adding a noise signal from the one or more noise signals to the speech signal from each microphone includes adding a random noise signal from the one or more noise signals to the speech signal from each microphone.
14. The computer program product of claim 8 , wherein the plurality of microphones define a microphone array.
15. A computing system comprising:
a memory; and
a processor configured to receive a speech signal from each microphone of a plurality of microphones, thus defining a plurality of signals, wherein the processor is further configured to receive one or more noise signals associated with microphone self-noise, wherein the processor is further configured to perform one or more self-noise-based augmentations on the plurality of signals based upon, at least in part, the one or more noise signals associated with microphone self-noise, thus defining one or more self-noise-based augmented signals, wherein the processor is further configured to receive a selection of a target microphone array from a library of target microphone arrays by providing particular self-noise characteristics associated with the target microphone array, and wherein the processor is further configured to perform one or more self-noise-based augmentations on the plurality of signals based upon, at least in part, the target microphone array.
16. The computing system of claim 15 , wherein receiving the one or more noise signals associated with microphone self-noise includes simulating a model representative of microphone self-noise.
17. The computing system of claim 15 , wherein receiving the one or more noise signals associated with microphone self-noise includes measuring self-noise from at least one microphone.
18. The computing system of claim 15 , wherein performing the one or more self-noise-based augmentations on the plurality of signals based upon, at least in part, the one or more noise signals associated with microphone self-noise includes adding a noise signal from the one or more noise signals to the speech signal from each microphone.
19. The computing system of claim 18 , wherein adding a noise signal to the speech signal from each microphone includes adding a noise signal from the one or more noise signals to the speech signal from each microphone based upon, at least in part, a predefined signal-to-noise ratio for the one or more self-noise-based augmented signals.
20. The computing system of claim 18 , wherein adding a noise signal from the one or more noise signals to the speech signal from each microphone includes adding a random noise signal from the one or more noise signals to the speech signal-based voice data.