georg-suno ylacombe HF staff commited on
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Update pipeline tag to text-to-speech (#11)

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- Update pipeline tag to text-to-speech (44d37ffdd34a065d1f8155331eea1815e3202175)


Co-authored-by: Yoach Lacombe <ylacombe@users.noreply.huggingface.co>

Files changed (1) hide show
  1. README.md +20 -18
README.md CHANGED
@@ -1,25 +1,27 @@
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  ---
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- language:
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- - en
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- - de
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- - es
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- - fr
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- - hi
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- - it
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- - ja
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- - ko
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- - pl
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- - pt
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- - ru
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- - tr
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- - zh
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- thumbnail: https://user-images.githubusercontent.com/5068315/230698495-cbb1ced9-c911-4c9a-941d-a1a4a1286ac6.png
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- library: "bark"
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- license: "cc-by-nc-4.0"
 
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  tags:
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  - bark
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  - audio
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  - text-to-speech
 
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  ---
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  # Bark
@@ -185,4 +187,4 @@ We anticipate that this model's text to audio capabilities can be used to improv
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  While we hope that this release will enable users to express their creativity and build applications that are a force
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  for good, we acknowledge that any text to audio model has the potential for dual use. While it is not straightforward
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  to voice clone known people with Bark, it can still be used for nefarious purposes. To further reduce the chances of unintended use of Bark,
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- we also release a simple classifier to detect Bark-generated audio with high accuracy (see notebooks section of the main repository).
 
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  ---
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+ language:
3
+ - en
4
+ - de
5
+ - es
6
+ - fr
7
+ - hi
8
+ - it
9
+ - ja
10
+ - ko
11
+ - pl
12
+ - pt
13
+ - ru
14
+ - tr
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+ - zh
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+ thumbnail: >-
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+ https://user-images.githubusercontent.com/5068315/230698495-cbb1ced9-c911-4c9a-941d-a1a4a1286ac6.png
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+ library: bark
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+ license: cc-by-nc-4.0
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  tags:
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  - bark
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  - audio
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  - text-to-speech
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+ pipeline_tag: text-to-speech
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  ---
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  # Bark
 
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  While we hope that this release will enable users to express their creativity and build applications that are a force
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  for good, we acknowledge that any text to audio model has the potential for dual use. While it is not straightforward
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  to voice clone known people with Bark, it can still be used for nefarious purposes. To further reduce the chances of unintended use of Bark,
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+ we also release a simple classifier to detect Bark-generated audio with high accuracy (see notebooks section of the main repository).