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What is Audio LLMs as Speech Quality Evaluators about?

This paper presents a novel approach to improving audio large language models (LLMs) by introducing a natural language-based speech evaluation corpus that includes detailed analyses of speech quality and the first descriptive A/B test dataset. The proposed alignment approach with LLM distillation (ALLD) enables audio LLMs to effectively evaluate and generate responses based on the quality of speech, achieving superior performance in mean opinion score (MOS) prediction and BLEU scores compared to previous mo

Author

shivammaji2022

Language

EN