Closed alangi closed 1 year ago
Hi @alangi,
Can you send the snippet you used to run the SESAME check? The default is:
clarity = utils.sesame_clarity(hv.frq, hv.mean_curve(), hv.std_curve(), hv.std_f0_frq(distribution="normal"), search_limits=(peak_f_lower, peak_f_upper), verbose=1)
which includes peak_f_lower
and peak_f_upper
as inputs. I am not able to replicate the issue.
Thanks, Joe
Hi @jpvantassel,
Looks like I'm missing part of the code. I've been using and adapting a note book for a long time, so it is probably from before you implimented the peak_f_lower
and peak_f_upper
code.
Here's what I've been using:
clarity = utls.sesame_clarity(hv.frq, hv.mean_curve(), hv.std_curve(), ln_f0_std, verbose=2)
I've made some alterations to use f_low
and f_high
and it seems to be working okay now.
Thanks
Hi,
It seems that the clarity criteria are not drawing their statistics from between f_range_low and f_range_high.
For example: Criteria iii): Pass A0[f0mc]=3.017 is > 2.0
I got this result when using 3 Hz to 5 Hz. You can see in the image below that this amplitude is almost certainly coming from the large peak that I'm trying to avoid.
I haven't check the other criteria so it may be that only the amplitude is an issue.