AI正在发生 未来正在更新orpheus-3b-tts-multilingual
A multilingual, multi-speaker text-to-speech model fine-tuned from `unsloth/orpheus-3b-0.1-pretrained` on the **full** `Sunbird/tts` corpus — 20 language configurations and every speaker present in the dataset. The model accepts arbitrary text and emits 24 kHz mono speech via the SNAC audio codec. Voice selection happens at the prompt level: prepend the chosen `speaker_id` followed by `": "` to your text, and the model produces audio in that speaker's voice. Speaker IDs encode both the source corpus (`salt_*`, `waxal_*`, `slr32_*`, `slr129_*`, `bateesa_*`) and the language. Languages marked with an em dash in the Speaker IDs column are present in the model's training mix but do not currently expose individual voice IDs in this checkpoint.
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A multilingual, multi-speaker text-to-speech model fine-tuned from `unsloth/orpheus-3b-0.1-pretrained` on the **full** `Sunbird/tts` corpus — 20 language configurations and every speaker present in the dataset. The model accepts arbitrary text and emits 24 kHz mono speech via the SNAC audio codec. Voice selection happens at the prompt level: prepend the chosen `speaker_id` followed by `": "` to your text, and the model produces audio in that speaker's voice. Speaker IDs encode both the source corpus (`salt_*`, `waxal_*`, `slr32_*`, `slr129_*`, `bateesa_*`) and the language. Languages marked with an em dash in the Speaker IDs column are present in the model's training mix but do not currently expose individual voice IDs in this checkpoint.