Isolated-Word Confusion Metrics and the PGPfone Alphabet
| dc.creator | Juola, Patrick | |
| dc.date | 1996-08-29 | |
| dc.date.accessioned | 2026-07-07T09:10:38Z | |
| dc.date.available | 2026-07-07T09:10:38Z | |
| dc.description | Although the confusion of individual phonemes and features have been studied and analyzed since (Miller and Nicely, 1955), there has been little work done on extending this to a predictive theory of word-level confusions. The PGPfone alphabet is a good touchstone problem for developing such word-level confusion metrics. This paper presents some difficulties incurred, along with their proposed solutions, in the extension of phonetic confusion results to a theoretical whole-word phonetic distance metric. The proposed solutions have been used, in conjunction with a set of selection filters, in a genetic algorithm to automatically generate appropriate word lists for a radio alphabet. This work illustrates some principles and pitfalls that should be addressed in any numeric theory of isolated word perception. | |
| dc.description | 12 pages, includes minipage.tex and nemlapfig.eps, uses nemlap.sty | |
| dc.identifier | https://arxiv.org/abs/cmp-lg/9608021 | |
| dc.identifier | http://arxiv.org/abs/cmp-lg/9608021 | |
| dc.identifier | NeMLaP-96, Sept. 16-18, 1996, Ankara TURKEY | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/151402 | |
| dc.subject | Computation and Language | |
| dc.title | Isolated-Word Confusion Metrics and the PGPfone Alphabet | |
| dc.type | text |