Hervé Bourlard, Afsaneh Asaei, Pranay Dighe
We propose an information theoretic framework for quantitative assessment of acoustic models used in hidden Markov model (HMM) based automatic speech recognition (ASR). The HMM backend expects that (i) the acoustic model yields accurate state conditional e ...
ELSEVIER2020