Model overview
A unified speech-language model that synchronizes speech and text into a single, cohesive stream via 1:1 alignment. TADA is a unified speech-language model that synchronizes speech and text into a single, cohesive stream via 1:1 alignment. By leveraging a novel tokenizer and architectural design, TADA achieves high-fidelity synthesis and generation with a fraction of the computational overhead required by traditional models. ⭐️ arxiv: https://arxiv.org/abs/2602.23068 \ ⭐️ demo1: https://huggingface.co/spaces/fffiloni/tada-dual-alignment-tts-demo \ ⭐️ demo2: https://huggingface.co/spaces/HumeAI/tada \ ⭐️ github: https://github.com/HumeAI/tada \ ⭐️ blog post: https://www.hume.ai/blog/opensource-tada \
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.
Source prices & cost analysis
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| Source / channel | Input | Output | Billing unit | Collected at |
|---|---|---|---|---|
| No verified prices yet. Check the source channel. | ||||
Estimate monthly base token costs
Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.
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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Sources & traceability
许可证：llama3.2。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。