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update DN series page
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152334H committed Sep 25, 2022
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2 changes: 1 addition & 1 deletion content/disco-narrator/index.md
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Expand Up @@ -19,7 +19,7 @@ How I made a Text-to-Speech (TTS) model for (some of) [a video game's](https://e
| Post | TL;DR |
|------|-------|
| [Data scraping](/blog/dn-1) | Simple retelling of the data collection process |
| Data formatting | Python scripting to LJSpeech, plus data cleaning methods |
| [Data formatting](/blog/dn-2) | Python scripting to LJSpeech, plus data cleaning methods |
| Simplistic Training | Various attempts to create my first model |
| Additional characters | Training extra models, and the limitations of small datasets |

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2 changes: 1 addition & 1 deletion content/posts/dn-1/index.md
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Expand Up @@ -231,4 +231,4 @@ Re-opening AssetStudio, I follow the README, and...

It's there! `AssetName`, `ArticyID`. The `AssetName`s match up with the `.wav` filenames we extracted, and the `ArticyID`s match exactly to the expected dialogue for each audio file. Taking the first example in the image, `0x010000060001BDCA` refers to this part of the massive Dialogue `json`:
{{< figure src="Pasted%20image%2020220817203121.png" >}}
With all the information we need (theoretically) in tow, we can move on to [Data Formatting](/todo).
With all the information we need (theoretically) in tow, we can move on to [Data Formatting](/dn-2).

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