Summary
SpeechParaling-Bench is a new benchmark designed to improve the evaluation of paralinguistic cues in Large Audio-Language Models (LALMs), which are crucial for natural human-computer interaction. It significantly expands the coverage of fine-grained paralinguistic features from under 50 to over 100, supported by a large English-Chinese parallel speech dataset. This benchmark aims to overcome current limitations in feature coverage and subjective assessment, fostering more advanced and natural speech generation.
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