Automated equalization
Techniques for improving speech recognition are described. An example of an electronic device includes an extracting unit to extract a reference spectral profile from a reference signal and a device spectral profile from a device signal. A comparing unit compares the reference spectral profile and the device spectral profile. A delta calculating unit calculates a delta between the reference spectral profile and the device spectral profile. A design unit designs a correction filter based on the computed delta.
1. An electronic device for improving speech recognition of a device under test (DUT), comprising:
an extracting unit to extract a reference spectral profile from a reference signal and a DUT spectral profile from a DUT signal;
a comparing unit to compare the reference spectral profile and the DUT spectral profile;
a delta calculating unit to compute a delta between the reference spectral profile and the DUT spectral profile to obtain a computed delta;
a design unit to design a correction filter based on the computed delta; and
an application unit to apply the correction filter to a signal produced by a microphone internal to the DUT to improve speech recognition.
2. The electronic device of claim 1 , comprising a first calculating unit to calculate the reference signal from a set of recordings.
3. The electronic device of claim 1 , wherein the design unit designs the correction filter using a plurality of recordings, and wherein the plurality of recordings are obtained from one or more devices.
4. The electronic device of claim 1 , comprising an orientation sensor to determine an orientation of the DUT and employ an appropriate correction filter.
5. The electronic device of claim 1 , comprising a proximity sensor to determine a distance from a user to the DUT and employ the appropriate correction filter.
6. The electronic device of claim 1 , comprising an angle sensor to determine an angle between the user and the DUT and employ the appropriate correction filter.
7. The electronic device of claim 1 , comprising a lid position sensor to determine a position of a lid of the DUT and employ the appropriate correction filter.
8. The electronic device of claim 1 , comprising one or more microphones to receive the DUT signal.
9. The electronic device of claim 8 , comprising a recording unit to record the DUT signal.
10. A method, comprising:
extracting a reference spectral profile from a reference signal;
extracting a device-under-test (DUT) spectral profile from a DUT signal;
comparing the reference spectral profile and DUT spectral profile;
calculating a delta between the reference spectral profile and the DUT spectral profile;
designing a correction filter using the delta; and
applying the correction filter to a signal produced by a microphone internal to the DUT to improve speech recognition.
11. The method of claim 10 , comprising using a set of speech recordings to calculate a reference signal.
12. The method of claim 11 , comprising averaging of amplitude spectra of the reference signal to obtain the reference spectral profile.
13. The method of claim 10 , comprising recording a speech utterance using the DUT to obtain a recorded speech utterance.
14. The method of claim 13 , comprising:
broadcasting the recorded speech utterance using a speaker to obtain a broadcasted speech utterance; and
receiving the broadcasted speech utterance using a microphone internal to the DUT to obtain a DUT signal.
15. The method of claim 14 , comprising averaging of amplitude spectra of the DUT signal to obtain the DUT spectral profile.
16. The method of claim 10 , comprising calculating the correction filter using a frequency-sampling method or any other technique for designing an audio signal filter.
17. The method of claim 10 , wherein applying the correction filter comprises determining at least one of an orientation of the DUT, a distance from a user to the DUT, an angle between the user and the DUT, and a position of a lid of the DUT.
18. At least one non-transitory computer-readable medium, comprising instructions to direct a processor to:
extract a reference spectral profile from a reference signal;
extract a device-under-test (DUT) spectral profile from a DUT signal;
compare the reference spectral profile and the DUT spectral profile;
calculate a delta between the reference spectral profile and the DUT spectral profile;
design a correction filter using the delta; and
apply the correction filter to a signal produced by a microphone internal to the DUT to improve speech recognition.
19. At least one non-transitory computer-readable medium of claim 18 , comprising instructions to direct the processor to calculate the reference signal from a set of speech recordings.
20. At least one non-transitory computer-readable medium of claim 19 , comprising instructions to direct the processor to average amplitude spectra of the reference signal to obtain the reference spectral profile.
21. At least one non-transitory computer-readable medium of claim 18 , comprising instructions to direct the processor to receive a speech utterance via the microphone to obtain the DUT signal.
22. At least one non-transitory computer-readable medium of claim 21 , comprising instructions to direct the processor to average amplitude spectra of the DUT signal to obtain the DUT spectral profile.