tortoise-detect docs
This commit is contained in:
parent
f8280e75d9
commit
524ae1a5a8
15
README.md
15
README.md
|
@ -132,6 +132,21 @@ utterances of a specific string of text. The impact of community involvement in
|
|||
GPT-3 or CLIP) has really surprised me. If you find something neat that you can do with Tortoise that isn't documented here,
|
||||
please report it to me! I would be glad to publish it to this page.
|
||||
|
||||
## Tortoise-detect
|
||||
|
||||
Out of concerns that this model might be misused, I've built a classifier that tells the likelihood that an audio clip
|
||||
came from Tortoise.
|
||||
|
||||
This classifier can be run on any computer, usage is as follows:
|
||||
|
||||
```commandline
|
||||
python is_this_from_tortoise.py --clip=<path_to_suspicious_audio_file>
|
||||
```
|
||||
|
||||
This model has 100% accuracy on the contents of the results/ and voices/ folders in this repo. Still, treat this classifier
|
||||
as a "strong signal". Classifiers can be fooled and it is likewise not impossible for this classifier to exhibit false
|
||||
positives.
|
||||
|
||||
## Model architecture
|
||||
|
||||
Tortoise TTS is inspired by OpenAI's DALLE, applied to speech data and using a better decoder. It is made up of 5 separate
|
||||
|
|
Loading…
Reference in New Issue
Block a user