System and method for data augmentation for multi-microphone signal processing
A method, computer program product, and computing system for receiving a signal from each microphone of a plurality of microphones, thus defining a plurality of signals. One or more microphone frequency responses associated with at least one microphone may be received. One or more microphone frequency response-based augmentations may be performed on the plurality of signals based upon, at least in part, the one or more microphone frequency responses, thus defining one or more microphone frequency response-based augmented signals.
1. A computer-implemented method, executed on a computing device, comprising:
receiving a signal from each microphone of a plurality of microphones, thus defining a plurality of signals;
receiving one or more microphone frequency responses associated with at least one microphone;
performing one or more microphone frequency response-based augmentations on the plurality of signals based upon, at least in part, the one or more microphone frequency responses, thus defining one or more microphone frequency response-based augmented signals; and
training one or more models representative of a microphone frequency response based upon, at least in part, the one or more microphone frequency response-based augmentations on the plurality of signals.
2. The computer-implemented method of claim 1 , wherein receiving the one or more frequency responses associated with the at least one microphone includes simulating the one or more models representative of the microphone frequency response.
3. The computer-implemented method of claim 1 , wherein receiving the one or more frequency responses associated with the at least one microphone includes measuring a frequency response from the at least one microphone.
4. The computer-implemented method of claim 1 , wherein performing the one or more microphone frequency response-based augmentations on the plurality of signals based upon, at least in part, the one or more microphone frequency responses includes augmenting one or more of a magnitude component and a phase component of the plurality of signals based upon, at least in part, the one or more microphone frequency responses.
5. The computer-implemented method of claim 1 , wherein performing the one or more microphone frequency response-based augmentations on the plurality of signals based upon, at least in part, the one or more microphone frequency responses includes filtering the plurality of signals with the one or more microphone frequency responses.
6. The computer-implemented method of claim 1 , wherein performing the one or more microphone frequency response-based augmentations on the plurality of signals based upon, at least in part, the one or more microphone frequency responses includes filtering the plurality of signals with a randomly selected microphone frequency response from the one or more microphone frequency responses.
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 microphone frequency responses associated with at least one microphone;
performing one or more microphone frequency response-based augmentations on the plurality of signals based upon, at least in part, the one or more microphone frequency responses, thus defining one or more microphone frequency response-based augmented signals; and
training one or more models representative of a microphone frequency response based upon, at least in part, the one or more microphone frequency response-based augmentations on the plurality of signals.
9. The computer program product of claim 8 , wherein receiving the one or more frequency responses associated with the at least one microphone includes simulating the one or more models representative of the microphone frequency response.
10. The computer program product of claim 8 , wherein receiving the one or more frequency responses associated with the at least one microphone includes measuring a frequency response from the at least one microphone.
11. The computer program product of claim 8 , wherein performing the one or more microphone frequency response-based augmentations on the plurality of signals based upon, at least in part, the one or more microphone frequency responses includes augmenting one or more of a magnitude component and a phase component of the plurality of signals based upon, at least in part, the one or more microphone frequency responses.
12. The computer program product of claim 8 , wherein performing the one or more microphone frequency response-based augmentations on the plurality of signals based upon, at least in part, the one or more microphone frequency responses includes filtering the plurality of signals with the one or more microphone frequency responses.
13. The computer program product of claim 8 , wherein performing the one or more microphone frequency response-based augmentations on the plurality of signals based upon, at least in part, the one or more microphone frequency responses includes filtering the plurality of signals with a randomly selected microphone frequency response from the one or more microphone frequency responses.
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 microphone frequency responses associated with at least one microphone, wherein the processor is further configured to perform one or more microphone frequency response-based augmentations on the plurality of signals based upon, at least in part, the one or more microphone frequency responses, thus defining one or more microphone frequency response-based augmented signals, wherein the processor is further configured to train one or more models representative of a microphone frequency response based upon, at least in part, the one or more microphone frequency response-based augmentations on the plurality of signals.
16. The computing system of claim 15 , wherein receiving the one or more frequency responses associated with the at least one microphone includes simulating the one or more models representative of the microphone frequency response.
17. The computing system of claim 15 , wherein receiving the one or more frequency responses associated with the at least one microphone includes measuring a frequency response from the at least one microphone.
18. The computing system of claim 15 , wherein performing the one or more microphone frequency response-based augmentations on the plurality of signals based upon, at least in part, the one or more microphone frequency responses includes augmenting one or more of a magnitude component and a phase component of the plurality of signals based upon, at least in part, the one or more microphone frequency responses.
19. The computing system of claim 15 , wherein performing the one or more microphone frequency response-based augmentations on the plurality of signals based upon, at least in part, the one or more microphone frequency responses includes filtering the plurality of signals with the one or more microphone frequency responses.
20. The computing system of claim 15 , wherein performing the one or more microphone frequency response-based augmentations on the plurality of signals based upon, at least in part, the one or more microphone frequency responses includes filtering the plurality of signals with a randomly selected microphone frequency response from the one or more microphone frequency responses.