license: apache-2.0
language:
- en
base_model:
- yl4579/StyleTTS2-LJSpeech
pipeline_tag: text-to-speech
Disclaimer
This is a fork of the original Kokoro repo, in order to provide easy inference on Replicate. I am not affiliated with the original Kokoro authors, and this is not an official release of the Kokoro model. Similar to the Huggingface Space, this implementation provides automatic text splitting to support long form text inputs. See the original README below for more details.
Voices
American English
lang_code='a' in misaki[en]- espeak-ng
en-us fallback
| Name |
Traits |
Target Quality |
Training Duration |
Overall Grade |
SHA256 |
| af_heart |
🚺❤️ |
|
|
A |
0ab5709b |
| af_alloy |
🚺 |
B |
MM minutes |
C |
6d877149 |
| af_aoede |
🚺 |
B |
H hours |
C+ |
c03bd1a4 |
| af_bella |
🚺🔥 |
A |
HH hours |
A- |
8cb64e02 |
| af_jessica |
🚺 |
C |
MM minutes |
D |
cdfdccb8 |
| af_kore |
🚺 |
B |
H hours |
C+ |
8bfbc512 |
| af_nicole |
🚺🎧 |
B |
HH hours |
B- |
c5561808 |
| af_nova |
🚺 |
B |
MM minutes |
C |
e0233676 |
| af_river |
🚺 |
C |
MM minutes |
D |
e149459b |
| af_sarah |
🚺 |
B |
H hours |
C+ |
49bd364e |
| af_sky |
🚺 |
B |
M minutes 🤏 |
C- |
c799548a |
| am_adam |
🚹 |
D |
H hours |
F+ |
ced7e284 |
| am_echo |
🚹 |
C |
MM minutes |
D |
8bcfdc85 |
| am_eric |
🚹 |
C |
MM minutes |
D |
ada66f0e |
| am_fenrir |
🚹 |
B |
H hours |
C+ |
98e507ec |
| am_liam |
🚹 |
C |
MM minutes |
D |
c8255075 |
| am_michael |
🚹 |
B |
H hours |
C+ |
9a443b79 |
| am_onyx |
🚹 |
C |
MM minutes |
D |
e8452be1 |
| am_puck |
🚹 |
B |
H hours |
C+ |
dd1d8973 |
| am_santa |
🚹 |
C |
M minutes 🤏 |
D- |
7f2f7582 |
British English
lang_code='b' in misaki[en]- espeak-ng
en-gb fallback
| Name |
Traits |
Target Quality |
Training Duration |
Overall Grade |
SHA256 |
| bf_alice |
🚺 |
C |
MM minutes |
D |
d292651b |
| bf_emma |
🚺 |
B |
HH hours |
B- |
d0a423de |
| bf_isabella |
🚺 |
B |
MM minutes |
C |
cdd4c370 |
| bf_lily |
🚺 |
C |
MM minutes |
D |
6e09c2e4 |
| bm_daniel |
🚹 |
C |
MM minutes |
D |
fc3fce4e |
| bm_fable |
🚹 |
B |
MM minutes |
C |
d44935f3 |
| bm_george |
🚹 |
B |
MM minutes |
C |
f1bc8122 |
| bm_lewis |
🚹 |
C |
H hours |
D+ |
b5204750 |
Japanese
lang_code='j' in misaki[ja]- Total Japanese training data: H hours
| Name |
Traits |
Target Quality |
Training Duration |
Overall Grade |
SHA256 |
CC BY |
| jf_alpha |
🚺 |
B |
H hours |
C+ |
1bf4c9dc |
|
| jf_gongitsune |
🚺 |
B |
MM minutes |
C |
1b171917 |
gongitsune |
| jf_nezumi |
🚺 |
B |
M minutes 🤏 |
C- |
d83f007a |
nezuminoyomeiri |
| jf_tebukuro |
🚺 |
B |
MM minutes |
C |
0d691790 |
tebukurowokaini |
| jm_kumo |
🚹 |
B |
M minutes 🤏 |
C- |
98340afd |
kumonoito |
Mandarin Chinese
lang_code='z' in misaki[zh]- Total Mandarin Chinese training data: H hours
| Name |
Traits |
Target Quality |
Training Duration |
Overall Grade |
SHA256 |
| zf_xiaobei |
🚺 |
C |
MM minutes |
D |
9b76be63 |
| zf_xiaoni |
🚺 |
C |
MM minutes |
D |
95b49f16 |
| zf_xiaoxiao |
🚺 |
C |
MM minutes |
D |
cfaf6f2d |
| zf_xiaoyi |
🚺 |
C |
MM minutes |
D |
b5235dba |
| zm_yunjian |
🚹 |
C |
MM minutes |
D |
76cbf8ba |
| zm_yunxi |
🚹 |
C |
MM minutes |
D |
dbe6e1ce |
| zm_yunxia |
🚹 |
C |
MM minutes |
D |
bb2b03b0 |
| zm_yunyang |
🚹 |
C |
MM minutes |
D |
5238ac22 |
Spanish
| Name |
Traits |
SHA256 |
| ef_dora |
🚺 |
d9d69b0f |
| em_alex |
🚹 |
5eac53f7 |
| em_santa |
🚹 |
aa8620cb |
French
lang_code='f' in misaki[en]- espeak-ng
fr-fr
- Total French training data: <11 hours
| Name |
Traits |
Target Quality |
Training Duration |
Overall Grade |
SHA256 |
CC BY |
| ff_siwis |
🚺 |
B |
<11 hours |
B- |
8073bf2d |
SIWIS |
Hindi
lang_code='h' in misaki[en]- espeak-ng
hi
- Total Hindi training data: H hours
| Name |
Traits |
Target Quality |
Training Duration |
Overall Grade |
SHA256 |
| hf_alpha |
🚺 |
B |
MM minutes |
C |
06906fe0 |
| hf_beta |
🚺 |
B |
MM minutes |
C |
63c0a1a6 |
| hm_omega |
🚹 |
B |
MM minutes |
C |
b55f02a8 |
| hm_psi |
🚹 |
B |
MM minutes |
C |
2f0f055c |
Italian
lang_code='i' in misaki[en]- espeak-ng
it
- Total Italian training data: H hours
| Name |
Traits |
Target Quality |
Training Duration |
Overall Grade |
SHA256 |
| if_sara |
🚺 |
B |
MM minutes |
C |
6c0b253b |
| im_nicola |
🚹 |
B |
MM minutes |
C |
234ed066 |
Brazilian Portuguese
| Name |
Traits |
SHA256 |
| pf_dora |
🚺 |
07e4ff98 |
| pm_alex |
🚹 |
cf0ba8c5 |
| pm_santa |
🚹 |
d4210316 |
✨ You can now pip install kokoro! See Usage.
Kokoro is an open-weight TTS model with 82 million parameters. Despite its lightweight architecture, it delivers comparable quality to larger models while being significantly faster and more cost-efficient. With Apache-licensed weights, Kokoro can be deployed anywhere from production environments to personal projects.
Creative Commons Attribution
The following CC BY audio was part of the dataset used to train Kokoro v1.0.
| Audio Data |
Duration Used |
License |
Added to Training Set After |
Koniwa tnc |
<1h |
CC BY 3.0 |
v0.19 / 22 Nov 2024 |
| SIWIS |
<11h |
CC BY 4.0 |
v0.19 / 22 Nov 2024 |
Acknowledgements
- 🛠️ @yl4579 for architecting StyleTTS 2.
- 🏆 @Pendrokar for adding Kokoro as a contender in the TTS Spaces Arena.
- 📊 Thank you to everyone who contributed synthetic training data.
- ❤️ Special thanks to all compute sponsors.
- 👾 Discord server: https://discord.gg/QuGxSWBfQy
- 🪽 Kokoro is a Japanese word that translates to “heart” or “spirit”. Kokoro is also the name of an AI in the Terminator franchise.
