The N Soundtrack
The N Soundtrack is a soundtrack album for the American television channel, The N, featuring songs from the shows that were airing at the time. The series' were Degrassi: The Next Generation (season 5), Beyond the Break (season 1), South of Nowhere (season 1), Instant Star (season 1), and Whistler (season 1).
| The N Soundtrack | ||||
|---|---|---|---|---|
 | ||||
| Soundtrack album by various artists | ||||
| Released | August 1, 2006 | |||
| Genre | Pop | |||
| Length | 37:19 | |||
| Label | Nick Records | |||
| Producer | Boi-1da | |||
| Degrassi chronology | ||||
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| Instant Star chronology | ||||
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It was released as a digital download on August 1, 2006, and as a CD on August 29, 2006. Degrassi: The Next Generation, Instant Star, and Whistler were also airing on the CTV Television Network in Canada; however, it was not released in Canada. The N Soundtrack contains the first recording by Drake.
Track listing
| No. | Title | Artist | Length |
|---|---|---|---|
| 1. | "Degrassi Original Theme (Extended Version)" | The Degrassi Jr. Strings feat. Evren | 3:12 |
| 2. | "Unwritten (Special live acoustic performance for the N)" | Natasha Bedingfield | 3:34 |
| 3. | "Not Even Close" | David Kopatz | 3:28 |
| 4. | "What You're Missin'" | Cheaza | 3:14 |
| 5. | "Do What You Do" | Drake | 3:27 |
| 6. | "The Car Song" | Telenovela Star | 3:32 |
| 7. | "I Don't Want To Know (If You Don't Want Me)" | The Donnas | 3:46 |
| 8. | "Ordinary Day" | The Dirtmitts | 4:04 |
| 9. | "24 Hours" | Alexz Johnson | 3:18 |
| 10. | "Goodbye" | The Sansaysas | 3:37 |
| 11. | "Hold On" | Mandy Musgrave | 2:07 |
| Total length: | 37:19 | ||
gollark: Inherited vaccines, that is.
gollark: "Compare" how? You'd need to fuzzy-match them somehow to deal with differences in compression or whatever.
gollark: - post all of them on reddit and see if someone says one is a repost of another
gollark: Some very rough ideas for how to detect similar images:- remove blank space at top/bottom/sides and do the rest of these- run OCR over the text and check for matches- split image up into chunks, reduce the color space a lot, count how many times each color appears, check for similar chunks in other images- run edge detection on them, get locations of edges, fuzzy matching of those- ML-based object detection?- some sort of locality-sensitive hashing for image data
gollark: Probably, but I don't know what software or have any idea how it works.
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