MODEL PROFILE

Kokoro-82M-v1.1-zh

hexgrad · Kokoro-82M-v1.1-zh

This model is the result of a short training run that added 100 Chinese speakers from a professional dataset. The Chinese data was freely and permissively granted to us by LongMaoData, a professional dataset company. Thank you for making this model possible. Separately, some crowdsourced synthetic English data also entered the training mix: [1] - 1 hour of Maple, an American female. - 1 hour of Sol, another American female. - And 1 hour of Vale, an older British female. This model is not a strict upgrade over its predecessor since it drops many voices, but it is released early to gather feedback on new voices and tokenization. Aside from the Chinese dataset and the 3 hours of English, the rest of the data was left behind for this training run. The goal is to push the model series forward and ultimately restore some of the voices that were left behind.

Speech synthesislicense:apache-2.0
Context windowNot disclosed
Input → OutputText → Audio
Model weightsNot verified
Profile updated2026/11/2 19:16:01
OVERVIEW

Model overview

This model is the result of a short training run that added 100 Chinese speakers from a professional dataset. The Chinese data was freely and permissively granted to us by LongMaoData, a professional dataset company. Thank you for making this model possible. Separately, some crowdsourced synthetic English data also entered the training mix: [1] - 1 hour of Maple, an American female. - 1 hour of Sol, another American female. - And 1 hour of Vale, an older British female. This model is not a strict upgrade over its predecessor since it drops many voices, but it is released early to gather feedback on new voices and tokenization. Aside from the Chinese dataset and the 3 hours of English, the rest of the data was left behind for this training run. The goal is to push the model series forward and ultimately restore some of the voices that were left behind.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Frequently asked questions

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Sources & traceability

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。