SmoothConv is a high-quality Chinese multi-channel conversational speech dataset with expert human annotations, developed by ASLP@NPU and QualiaLabs as part of the SmoothConv–DuplexConv corpus family.
Companion dataset: DuplexConv on HuggingFace (2,000 hours, LLM-assisted annotation). SmoothConv and DuplexConv are constructed from the same underlying conversational sources. SmoothConv provides high-fidelity human annotations for benchmarking and… See the full description on the dataset page:
https://huggingface.co/datasets/qualialabsAI/SmoothConv.