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
HoliTok is proposed, a continuous Holistic speech Tokenization model designed for unified generation-understanding modeling that achieves competitive reconstruction fidelity, improves generative learnability for high-quality and controllable synthesis, and is the only one that operates robustly in the authors' unified...
Bo-Han Li, Shiyue Lian, Hankun Wang et al.· 3 citations
DiaScriber is proposed, an end-to-end multi-speaker diarization and transcription model built on a speech large language model that achieves superior performance over comparison methods across extensive multi-speaker scenario test sets and demonstrates outstanding generalization ability in unseen multi-speaker scenario...
Bing-Shen Mu, Xian Shi, Xiong Wang et al.· 1 citation
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.