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LCAV / pyroomacoustics

Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios.
https://pyroomacoustics.readthedocs.io
MIT License
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Question about Beamformer #171

Open nanaChang opened 4 years ago

nanaChang commented 4 years ago

Hi,

First of all thank you for implementing this library! It's awesome and I really had a lot of fun playing with it! :)

In my model, I'm trying to beamform a 4-channel array received by a mic array. The only known information about the data is the DoA (which is computed by DoA algorithm from the package), with the actual location unknown. Therefore, I chose far_field_weights() as my beamformer. However, I'm wondering if I want to use other Beamformers beside far_field_weights(), how to implement them if the location of source is unknown? Furthermore, for some Beamformers, interference is required, which confused me since in my case there is only additive white noise instead of source as interference. I'm thinking that maybe I should set a distance manually to locate the source, as followed, but it turned out that the distance I set affected the SNR of beamformed signal significantly. Therefore, I want to make sure if there's a better way to deal with this problem!

r = 5
source = pra.SoundSource([r * np.cos(DoA), r * np.sin(DoA)])
haha010508 commented 3 years ago

I have the same problem, so i want to know, do you find the method for this?