dc.contributor.author | Molloy, Laurence | en |
dc.contributor.author | Isard, Stephen | en |
dc.coverage.spatial | 4 | en |
dc.date.accessioned | 2006-05-11T16:54:25Z | |
dc.date.available | 2006-05-11T16:54:25Z | |
dc.date.issued | 1998-12 | |
dc.identifier.citation | In ICSLP-1998, paper 1103. | |
dc.identifier.uri | http://www.isca-speech.org/archive/icslp_1998/index.html | |
dc.identifier.uri | http://hdl.handle.net/1842/1024 | |
dc.description.abstract | In this paper a method of integrating a model of suprasegmental duration with a HMM-based recogniser at the post-processing level is presented. The N-Best utterance output is rescored using a suitable linear combination of acoustic log-likelihood (provided by a set of tied-state triphone HMMs) and duration log-likelihood (provided by a set of durational models). The durational model used in the post-processing imposes syllable-level elastic constraints on the durational behaviour of speech segments. Results are presented for word accuracy on the Resource Management database after rescoring, using two different syllable-like constraint units, a fixed-size N-phone window and simple (no constraint) phone duration probability scoring. | en |
dc.format.extent | 55974 bytes | en |
dc.format.mimetype | application/pdf | en |
dc.language.iso | en | |
dc.publisher | International Speech Communication Association | en |
dc.title | Suprasegmental Duration Modelling with Elastic Constraints in Automatic Speech Recognition | en |
dc.type | Conference Paper | en |