Audio and speech models are released rapidly, but reported scores often conflate model capability with deployment and evaluation choices. The same checkpoint can produce different predictions under different runtimes, hardware, decoding settings, or fallback policies. Even fixed predictions can receive different scores...
Jing Peng, Jun Du, Yi-Xuan Wang et al.· 0 citations
DoteBench is introduced, a bilingual evaluation suite that measures precise instruction following, local preservation, and audio quality across the four controls and their composition, while audio quality remains comparable to existing open-source systems.
Hankun Wang, Bo-Han Li, Shiyue Lian et al.· 0 citations
TokAN is presented, a token-based accent normalization framework that operates on self-supervised discrete speech tokens extracted from a L1-L2 jointly trained vector-quantization (VQ) tokenizer, without the need of synthetic supervisory speech.
Qibing Bai, Shuai Wang, Yuhang Du et al.· arXiv.org· 0 citations
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