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Standard speech metrics fail to capture how code-switching transcription errors cascade into critical task failures in production enterprise voice agents.
Current TTS evaluators miss the mark, with MOS predictors focusing solely on sound quality and Audio-LLMs struggling to generalize across speech dimensions.
Integrating multiple acoustic sources is essential for LALMs, yet current benchmarks miss this crucial aspect, revealing a significant gap in audio understanding evaluation.
AP-GRPO reveals that leveraging reliable speech anchors can significantly enhance the reconstruction of distorted speech, adapting to the severity of neurodegenerative conditions.
