Techniques for selecting a direct path acoustic signal
One embodiment of the present application sets forth a computer-implemented method that includes receiving, from a first microphone, a first input acoustic signal, generating a first audio spectrum from at least the first input acoustic signal, wherein the first audio spectrum includes a set of time-frequency bins, and selecting a first time-frequency bin from the set based on a first local space-domain distance (LSDD) computed for the first time-frequency bin.
1. A computer-implemented method, comprising:
receiving, via a first microphone, a first input acoustic signal;
generating a time-frequency representation based on the first input acoustic signal;
computing a first local space-domain distance based on the time-frequency representation; and
determining a direction of arrival associated with the first input acoustic signal based on the first local space-domain distance.
2. The computer-implemented method of claim 1 , wherein generating the time-frequency representation comprises:
generating an audio spectrum based on the first input acoustic signal; and
generating the time-frequency representation based on the audio spectrum.
3. The computer-implemented method of claim 2 , wherein the audio spectrum comprises a plurality of time-frequency bins, and the time-frequency representation is generated based on a time-frequency bin included in the plurality of time-frequency bins.
4. The computer-implemented method of claim 3 , further comprising selecting the time-frequency bin based on a local spectrum value that is determined based on the time-frequency bin.
5. The computer-implemented method of claim 3 , further comprising selecting the time-frequency bin based on a comparative strength of a direct-path acoustic signal to other acoustic signals included in the time-frequency bin.
6. The computer-implemented method of claim 2 , wherein the audio spectrum comprises a short-time Fourier transform (STFT) spectrum.
7. The computer-implemented method of claim 2 , wherein the audio spectrum is further generated based on a second input acoustic signal via a second microphone.
8. The computer-implemented method of claim 1 , further comprising filtering the first input acoustic signal prior to generating the time-frequency representation based on the first input acoustic signal.
9. The computer-implemented method of claim 1 , wherein the microphone is included in a wearable headset.
10. A wearable device, comprising:
a first microphone that receives a first input acoustic signal; and
a controller that:
generates a time-frequency representation based on the first input acoustic signal,
computes a first local space-domain distance based on the time-frequency representation, and
determines a direction of arrival associated with the first input acoustic signal based on the first local space-domain distance.
11. The wearable device of claim 10 , wherein generating the time-frequency representation comprises:
generating an audio spectrum based on the first input acoustic signal; and
generating the time-frequency representation based on the audio spectrum.
12. The wearable device of claim 11 , wherein the audio spectrum comprises a plurality of time-frequency bins, and the time-frequency representation is generated based on a time-frequency bin included in the plurality of time-frequency bins.
13. The wearable device of claim 12 , wherein the controller further selects the time-frequency bin based on a local spectrum value that is determined based on the time-frequency bin.
14. The wearable device of claim 12 , wherein the controller further selects the time-frequency bin based on a comparative strength of a direct-path acoustic signal to other acoustic signals included in the time-frequency bin.
15. The wearable device of claim 11 , wherein the audio spectrum comprises a short-time Fourier transform (STFT) spectrum.
16. The wearable device of claim 11 , further comprising a second microphone that receives a second input acoustic signal, wherein the audio spectrum is further generated based on the second input acoustic signal.
17. The wearable device of claim 10 , further comprising a filter that filters the first input acoustic signal.
18. One or more computer-readable storage media including instructions that, when executed by one or more processors, cause the one or more processors to perform the steps of:
receiving, via a first microphone, a first input acoustic signal;
generating a time-frequency representation based on the first input acoustic signal;
computing a first local space-domain distance based on the time-frequency representation; and
determining a direction of arrival associated with the first input acoustic signal based on the first local space-domain distance.
19. The one or more computer-readable storage media of claim 18 , wherein generating the time-frequency representation comprises:
generating an audio spectrum based on the first input acoustic signal; and
generating the time-frequency representation based on the audio spectrum.
20. The one or more computer-readable storage media of claim 19 , wherein the audio spectrum comprises a plurality of time-frequency bins, and the time-frequency representation is generated based on a time-frequency bin included in the plurality of time-frequency bins.