Timeline for Extracting feature from audio track using DWT
Current License: CC BY-SA 4.0
8 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Nov 10, 2018 at 17:56 | vote | accept | Tan Nguyen | ||
| Nov 2, 2018 at 22:00 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Oct 3, 2018 at 21:18 | answer | added | Laurent Duval | timeline score: 0 | |
| Oct 3, 2018 at 5:42 | comment | added | Laurent Duval | DWT is often associated to time-scale, not time-frequency. I'd suggest you to look at technology behind mp3 or Shazam, that compress or identify audio wrt time-frequency features | |
| Oct 3, 2018 at 5:18 | comment | added | Tan Nguyen | @LaurentDuval I think the signals of audio file is in time-amplitude domain, and DWT can transform those signals to time-frequency domain | |
| Oct 2, 2018 at 20:37 | comment | added | Laurent Duval | Why, given "time-frequency domain", did you pick DWT? | |
| Sep 29, 2018 at 10:50 | review | First posts | |||
| Sep 30, 2018 at 17:52 | |||||
| Sep 29, 2018 at 10:49 | history | asked | Tan Nguyen | CC BY-SA 4.0 |