NVBench provides a standardized bilingual benchmark and evaluation protocol for assessing non-verbal vocalization generation, placement, and salience in text-to-speech systems.
Wesr: Scaling and evaluating word-level event-speech recognition
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A survey of Large Audio Language Models that establishes a taxonomy of trustworthiness vulnerabilities and proposes a Defense-in-Depth roadmap for audio intelligence.
Three data-centric strategies are studied to improve rare non-verbal vocalization recognition in ASR while preserving lexical accuracy.
citing papers explorer
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NVBench: A Benchmark for Speech Synthesis with Non-Verbal Vocalizations
NVBench provides a standardized bilingual benchmark and evaluation protocol for assessing non-verbal vocalization generation, placement, and salience in text-to-speech systems.
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A Survey of Large Audio Language Models: Generalization, Trustworthiness, and Outlook
A survey of Large Audio Language Models that establishes a taxonomy of trustworthiness vulnerabilities and proposes a Defense-in-Depth roadmap for audio intelligence.
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Beyond Words: Towards Effective Modeling of Non-Verbal Vocalizations in ASR
Three data-centric strategies are studied to improve rare non-verbal vocalization recognition in ASR while preserving lexical accuracy.