StackOverflow2013

Note that there are some explanatory texts on larger screens.

plurals

PO
primarykey
Id
17686941
data
AcceptedAnswerId
0
AnswerCount
0
ClosedDate
CommentCount
0
CommunityOwnedDate
CreationDate
2013-07-16T21:04:32.107
FavoriteCount
0
LastActivityDate
2013-07-16T21:04:32.107
LastEditDate
LastEditorUserId
0
OwnerUserId
1241837
ParentId
17686523
PostTypeId
2
Score
1
ViewCount
0
LastEditorDisplayName
text
Body
The cymbal rhythm is probably mostly in the high frequencies of that particular mix. I've never heard the track before, so I don't know if it would have any significant lower frequency content in relation to that particular instrument. However, from intuition, here's my best guess... You will need to filter out any lower frequencies like lower drums or vocals (generally instruments that are midrange heavy) that do not have any of the sonic content of the cymbal part. If you look at a spectrum analyzer, the frequency of the typical cymbal will slowly slope up in amplitude starting at 500Hz up to 5KHz, where the amplitude about stays level from 5k-15k, until it slopes off after 15-20k (in the case that the high end was filtered off in the original track). Filter anything below 500Hz (or perhaps a slightly higher frequency) out. If you want more precise filtering, you might want to find yourself an envelope follower that will filter in more sonic content on a cymbal hit. The more you filter out, the less of the other instruments you will probably be able to hear. You will need a high pass filter for this job. You can write one yourself in Python, though it would just be easier to port a DSP algorithm from: musicdsp.org or use the Python DSP library from: code.google.com/p/pyo/. On the music DSP site I imagine you could find a decent envelope following algorithm too. Python has a great library that will read and write to wav here: <a href="http://docs.python.org/2/library/wave.html" rel="nofollow">http://docs.python.org/2/library/wave.html</a> Also, if you need to test your filtering job in real-time, then consider PyAudio: <a href="http://people.csail.mit.edu/hubert/pyaudio/" rel="nofollow">http://people.csail.mit.edu/hubert/pyaudio/</a> This process will not come without kinks, since the filter may not filter out everything except the cymbals. Since mixed audio is mixed for good, it is almost impossible to seperate out the individual parts and instruments in a mix. The only thing that does something remotely close to this is Melodyne.
Tags
Title
singulars
PostAcceptedAnswerId
1. This table or related slice is empty.
PostParentId
1. POdetect cymbal(Thai instrument) rythm from standard Thai dancing wav song
 singulars
 PostTypePostTypeId
 PTQuestion
PostTypePostTypeId
1. PTAnswer
UserLastEditorUserId
1. This table or related slice is empty.
UserOwnerUserId
1. USJon Fast
plurals
PostLinksPostIdRelatedPostId
1. This table or related slice is empty.
PostLinksRelatedPostIdPostId
1. This table or related slice is empty.
PostsAcceptedAnswerId
1. This table or related slice is empty.
PostsParentIdCreationDate
1. This table or related slice is empty.
VotesPostIdCreationDate
1. VO
 singulars
 PostPostId
 PO
 UserUserId
 This table or related slice is empty.
 VoteTypeVoteTypeId
 VTUpMod
CommentsPostId
1. This table or related slice is empty.

Querying!

Guidance

A row detail

Detail views are divided into sections. All the information in the data section comes from columns in the selected row. The other sections display data from other, related rows.

Related data can be related in a to-one or a to-many fashion. Captions of data related in a to-many fashion link to a list view showing a filtered view of the table.

Try moving around until you find a non-empty to-many entry and click on the label to get to one. You can move back to the root by clicking on the database name in the header.