Yuzhe Wang
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This paper introduces DyadEE, a dataset for emotional entrainment detection in conversational interactions, and TRACE, a window-level framework for modeling dyadic interaction using emotion fine-tuned Whisper representations. TRACE achieves the highest accuracy of 97.01% on DyadEE.
The paper introduces SPEARBench, a benchmark for evaluating naturalness in speech-to-speech language models using a multidimensional protocol.
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SPEARBench: A Benchmark for Naturalness Evaluation in Streaming Speech-to-Speech Language Models
The paper introduces SPEARBench, a benchmark for evaluating naturalness in speech-to-speech language models using a multidimensional protocol.