It's great to hear that you've been able to successfully detect sound direction using just two microphones and a simple time shift calculation. This is a very efficient approach, and it's certainly possible to improve the resolution by increasing the sampling frequency or moving the microphones further apart.
Interpolation can also be used to improve the resolution, but it's important to be careful not to overcook it. If you interpolate too much, you can introduce artifacts into the signal that can degrade the accuracy of your calculations.
One way to avoid this is to use a low-pass filter on the interpolated signal before calculating the time shift. This will help to remove any high-frequency noise that may have been introduced by the interpolation process.
Another thing to keep in mind is that the accuracy of your time shift calculation will depend on the signal-to-noise ratio (SNR) of the audio signal. If the SNR is too low, it will be difficult to accurately measure the time shift between the two microphone signals.
In your application, where the robot is turning towards the sound source, it may not be necessary to have very high resolution in the sound direction estimation. As long as the robot can distinguish between left and right, it will be able to turn towards the sound source eventually.
However, if you need more precise sound direction estimation, you can improve the resolution by using more microphones, increasing the sampling frequency, or moving the microphones further apart.
Here are some additional tips for improving the accuracy of your sound direction estimation:
Use high-quality microphones with a good frequency response.
Place the microphones in a symmetrical configuration.
Calibrate the microphones to ensure that they have the same sensitivity.
Use a low-pass filter to remove high-frequency noise from the audio signal.
Use a signal processing technique called cross-correlation to estimate the time shift between the two microphone signals.
I hope this information is helpful. Good luck with your project!
It's OK to use AI to get further data points or confirm information, but if you post stuff straight out of chatGPT, then there is little value added in my opinion — anyone can do that, including OP.
Adding your own experience / knowledge / point of view is what creates value...
This is what gave it away. My used method is not dependent on the mics being exactly of same quality. One mic can record at 44.1 kHz and 16 bits, the other at 16 kHz and 8 bits. The mics can have very different frequency responses. And I'd still get two signals that I can match to find the time shift. ChatGPT is very often like a grammar school pupil, who just tries to repeat good sounding phrases related to the subject, without noticing that the phrases don't go together very well.
@josmith321
Why did you decide to post this as a separate thread? Why do not add it to the initial topic? Creating the multiple topics for the same subject is a violation of the forum rules.
I understand, you are new in community.
Perhaps it would be better to read the forum guidelines first, and not to wait to be suspended for repeated violations of the rules
Besides, the forum itself failed me. I never noticed this was a separate thread. I only followed a link in my e-mail notification. Does the forum itself have a quote function, where you can just by that start a new thread by quoting something from another thread?
