A Spoken Document Indexing Method Integrating Phonological Feature
Tong Niu · Jisuanji gongcheng · 2012
A spoken document indexing method integrating phonological feature is proposed to improve indexing coverage and attain more candidate paths.Due to the complementarity between the lattices from different recognition systems,a lattice is firstly generated by the speech recognition system based on phonological feature detection,which then makes nodes merge with the conventional lattice indexing.Furthermore,the segment alignment based on position is employed to compress the scale of combined lattice.Experimental results show that the proposed indexing method can make speech retrieval improvement and have good performance in terms of indexing coverage enhancement and oracle error reduction.