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”Due to differences in TDOA estimation for the 1m and 5cm microphone separation settings, including increased spatial aliasing and lower spatial resolution in the 5cm case,we also compared results averaged over these two settings separately. While we found somewhat decreased scores and increased variance in the 5cm case, the results were generally comparable.“
In the task of offline voice separation, do you need to make changes in the code for 5cm and 1m voices? Why I ran your code and the 1m data can be separated correctly, but all 5cm voices cannot get the correct results. Only one or two peak points can be obtained (the truth is that there should be three sources).
My English is not very good, these English are from Google Translate, please forgive me
The text was updated successfully, but these errors were encountered:
”Due to differences in TDOA estimation for the 1m and 5cm microphone separation settings, including increased spatial aliasing and lower spatial resolution in the 5cm case,we also compared results averaged over these two settings separately. While we found somewhat decreased scores and increased variance in the 5cm case, the results were generally comparable.“
In the task of offline voice separation, do you need to make changes in the code for 5cm and 1m voices? Why I ran your code and the 1m data can be separated correctly, but all 5cm voices cannot get the correct results. Only one or two peak points can be obtained (the truth is that there should be three sources).
My English is not very good, these English are from Google Translate, please forgive me
The text was updated successfully, but these errors were encountered: