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Tags: Text to speech

1.suno-ai / bark

🔊 Text-Prompted Generative Audio Model

Jupyter Notebook MIT39K total4.7K forks

+213 stars

from 39,082 · score 5.37

2.facebookresearch / seamless_communication

Foundational Models for State-of-the-Art Speech and Text Translation

Jupyter Notebook Other license12K total1.2K forks

+97 stars

from 11,806 · score 4.58

3.neonbjb / tortoise-tts

A multi-voice TTS system trained with an emphasis on quality

Jupyter Notebook APACHE-2.015K total2K forks

+60 stars

from 14,833 · score 4.11

4.mozilla / TTS

:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)

deep-learning
text-to-speech
python
pytorch
tacotron
tts
+10 more

Jupyter Notebook MPL-2.010K total1.3K forks

+40 stars

from 10,140 · score 3.71

5.Baiyuetribe / paper2gui

TranslatedConvert AI papers to GUI，Make it easy and convenient for everyone to use artificial intelligence technology。

dain
huoshan-tts
microsoft-tts
rife-gui
waifu2x-gui
dain-gui
+10 more

Jupyter Notebook MIT11K total870 forks

+37 stars

from 10,667 · score 3.64

Order: Attention Score

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Ranked by stars gained in the window. The score is the natural log of one plus that gain, so a repository's rank is exactly its star gain's rank.

score = log1p(net stars gained in the trailing T complete UTC days)

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The filters select from the same eligible repositories. A repository matches the topics when it has any of them. Total stars is the count now. Last push and creation on the Repository Host count back from the start of today (UTC). The counts beside the languages, licenses, and topics include all ranked repositories in the window. A Tag holds the repositories that have it. See Tags.

A new repository enters the index when it gains stars faster than the published admission threshold, whatever its size. A repository stays in the index after it enters. Thus an archived repository can still rank.

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