2001/11/30 by Anand Venkataraman
Computer Science · #cs.CL
published as Proceedings of the eighteenth international conference on machine learning, ICML-01, pp.569--576, 2001 · Expanded version of this paper appears in Computational Linguistics 27(3)
arxiv created 2001/11/30 · arxiv updated 2009/11/30
We describe an incremental unsupervised procedure to learn words from transcribed continuous speech. The algorithm is based on a conservative and traditional statistical model, and results of empirical tests show that it is competitive with other algorithms that have been proposed recently for this task.