Kenneth L. Clarkson, Elad Hazan, et al.
Journal of the ACM
An adaptive-control procedure is described which is intended to improve both acoustic analysis and linguistic decoding in automatic recognition of continuous speech by bringing into agreement data available at each of these stages. Specifically, hypotheses are formed by the decoder concerning the phonetic transcription derived during acoustic analysis. The procedure then accesses and utilizes relevant acoustic data in an attempt to verify or reject these hypotheses. Depending on the success of such attempts, actions are taken to constrain the decoding in subsequent processing iterations. Preliminary results are presented and discussed. © 1974.
Kenneth L. Clarkson, Elad Hazan, et al.
Journal of the ACM
Saeel Sandeep Nachane, Ojas Gramopadhye, et al.
EMNLP 2024
Liya Fan, Fa Zhang, et al.
JPDC
Shashank Ahire, Melissa Guyre, et al.
CUI 2025