M. Bacchiani and M. Ostendorf,
``Joint Lexicon, Acoustic Unit Inventory and Model Design,''
Speech Communication, vol. 29, no. 2-4, pp. 99-114. (invited paper)
Although most parameters in a speech recognition system are
estimated from data by use of an objective function, the unit
inventory and lexicon are generally hand crafted and therefore
unlikely to be optimal. This paper proposes a joint solution to the
related problems of learning a unit inventory and corresponding
lexicon from data. On a speaker-independent read speech task with a
1k vocabulary, the proposed algorithm outperforms phone-based
systems at both high and low complexities.
Return to SSLI Lab Publications