Evaluating AI supported ASR performance: the role of semantic density within the DLM
Evaluating AI supported ASR performance: the role of semantic density within the DLM
AI-supported Automatic Speech Recognition (ASR) performance varies depending on age-related factors (e.g., Verhaeghen, 2003).Greater age → Bigger vocabulary → More meanings compete → More difficult to map word form onto meaning (i.e., greater semantic uncertainty)?A poor ASR performance may be due to increased uncertainty in the mapping between form and meaning.We test:whether semantic uncertainty predicts ASR performance.whether computational models with vocabularies representing different ages predict ASR performance more precisely.
Artificial intelligence, French, Uncertainty, Oral History, FOS: Languages and literature, Discriminative Lexicon Model, Linguistics, Automatic Speech Recognition
Artificial intelligence, French, Uncertainty, Oral History, FOS: Languages and literature, Discriminative Lexicon Model, Linguistics, Automatic Speech Recognition
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