Timeline for How to completely remove upper frequencies from a vocalization?
Current License: CC BY-SA 4.0
9 events
| when toggle format | what | by | license | comment | |
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| Nov 1, 2022 at 19:02 | comment | added | Taiki Sakai | @lframond yes, that can also work but you need to make sure you apply the appropriate filter before downsampling to make sure your results do not have any aliasing. Just adds extra processing steps | |
| Oct 17, 2022 at 6:59 | comment | added | lframond | what about down-sampling the recordings to 10 kHz? This would automatically make spectrograms that are truncated to 5 kHz... would that be a solution and if not, why? | |
| Oct 15, 2022 at 21:11 | history | edited | Noil | CC BY-SA 4.0 |
added link to B Thomas' image
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| Jul 4, 2022 at 8:24 | vote | accept | Potichien | ||
| Jun 30, 2022 at 14:41 | comment | added | CommunityBot | Your answer could be improved with additional supporting information. Please edit to add further details, such as citations or documentation, so that others can confirm that your answer is correct. You can find more information on how to write good answers in the help center. | |
| Jun 28, 2022 at 0:07 | comment | added | Taiki Sakai | I'm not sure if you can do it in something like Raven or Audition, but it should be very easy to do in whatever programming language you are using for your machine learning model. You'll need to have the spectrograms as a matrix at some point (either by creating it from the waveform or reading it from an image), so you can just subset that matrix for only the rows with frequencies you are interested in | |
| Jun 27, 2022 at 7:42 | comment | added | Potichien | Thanks for this! Truncating the spectogram is actually what I originally wanted to do but I could not find how to do it, either on Raven or Audition. Do you have a link to a tutorial or something that could help? I'll think about your comment on the harmonics, thank you for this | |
| S Jun 24, 2022 at 22:49 | review | First answers | |||
| Jun 30, 2022 at 14:41 | |||||
| S Jun 24, 2022 at 22:49 | history | answered | Taiki Sakai | CC BY-SA 4.0 |