System and method for array data simulation and customized acoustic modeling for ambient ASR
A method, computer program product, and computer system for measuring, by a computing device, a plurality of Room Impulse Responses (RIRs) associated with a set of two or more microphones. At least a portion of the RIRs may be augmented. At least the portion of the RIRs may be converted to their respective Relative Transfer Function (RTF) representations. The RTF representations may be applied to training data to generate an acoustic model for automatic speech recognition.
1. A computer-implemented method comprising:
measuring, by a computing device, a plurality of Room Impulse Responses (RIRs) associated with a set of two or more microphones;
augmenting at least a portion of the RIRs;
converting at least the portion of the RIRs to their respective Relative Transfer Function (RTF) representations of at least the portion of the RIRs, wherein converting at least the portion of the RIRs to their respective RTF representations includes simulating multi-channel data from a single channel; and
applying the respective RTF representations to training data to generate an acoustic model for automatic speech recognition.
2. The computer-implemented method of claim 1 wherein augmenting at least the portion of the RIRs includes applying a weighting function to at least the portion of the RIRs.
3. The computer-implemented method of claim 2 wherein the weighting function includes an exponential decaying function of time.
4. The computer-implemented method of claim 1 wherein the multi-channel data is simulated from the single channel data using a set of time delays.
5. The computer-implemented method of claim 1 wherein the multi-channel data is simulated from the single channel data by applying at least one RTF to a speech utterance.
6. The computer-implemented method of claim 1 wherein the multi-channel data is simulated from the single channel data by convolving the single channel data with one of measured RIRs and simulated RIRs.
7. A computer program product residing on a non-transitory computer readable storage medium having a plurality of instructions stored thereon which, when executed across one or more processors, causes at least a portion of the one or more processors to perform operations comprising:
measuring a plurality of Room Impulse Responses (RIRs);
augmenting at least a portion of the RIRs;
converting at least the portion of the RIRs to their respective Relative Transfer Function (RTF) representations of at least the portion of the RIRs, wherein converting at least the portion of the RIRs to their respective RTF representations includes simulating multi-channel data from a single channel; and
applying the respective RTF representations to training data to generate an acoustic model for automatic speech recognition.
8. The computer program product of claim 7 wherein augmenting at least the portion of the RIRs includes applying a weighting function to at least the portion of the RIRs.
9. The computer program product of claim 8 wherein the weighting function includes an exponential decaying function of time.
10. The computer program product of claim 7 wherein the multi-channel data is simulated from the single channel data using a set of time delays.
11. The computer program product of claim 7 wherein the multi-channel data is simulated from the single channel data by applying at least one RTF to a speech utterance.
12. The computer program product of claim 7 wherein the multi-channel data is simulated from the single channel data by convolving the single channel data with one of measured RIRs and simulated RIRs.
13. A computing system including one or more processors and one or more memories configured to perform operations comprising:
measuring, by a computing device, a plurality of Room Impulse Responses (RIRs);
augmenting at least a portion of the RIRs;
converting at least the portion of the RIRs to their respective Relative Transfer Function (RTF) representations of at least the portion of the RIRs, wherein converting at least the portion of the RIRs to their respective RTF representations includes simulating multi-channel data from a single channel; and
applying the respective RTF representations to training data to generate an acoustic model for automatic speech recognition.
14. The computing system of claim 13 wherein augmenting at least the portion of the RIRs includes applying a weighting function to at least the portion of the RIRs.
15. The computing system of claim 14 wherein the weighting function includes an exponential decaying function of time.
16. The computing system of claim 13 wherein the multi-channel data is simulated from the single channel data using a set of time delays.
17. The computing system of claim 13 wherein the multi-channel data is simulated from the single channel data by at least one of applying at least one RTF to a speech utterance, and convolving the single channel data with one of measured RIRs and simulated RIRs.