A keyword-aware grammar framework for LVCSR-based spoken keyword search

I-Fan Chen; Chongjia Ni; Boon Pang Lim; Nancy F. Chen; Chin-Hui Lee

ICASSP 2015accepted0 citations

A keyword-aware grammar framework for LVCSR-based spoken keyword search

I-Fan Chen, Chongjia Ni, Boon Pang Lim, Nancy F. Chen, Chin-Hui Lee

Abstract

In this paper, we proposed a method to realize the recently developed keyword-aware grammar for LVCSR-based keyword search using weight finite-state automata (WFSA). The approach creates a compact and deterministic grammar WFSA by inserting keyword paths to an existing n-gram WFSA. Tested on the evalpart1 data of the IARPA Babel OpenKWS13 Vietnamese and OpenKWS14 Tamil limited language pack tasks, the experimental results indicate the proposed keyword-aware framework achieves significant improvement, with about 50% relative actual term weighted value (ATWV) enhancement for both languages. Comparisons between the keyword-aware grammar and our previously proposed n-gram LM based approximation approach for the grammar also show that the KWS performances of these two realizations are complementary.

BibTeX

@inproceedings{icassp2015_akeywordawaregra,
  title = {A keyword-aware grammar framework for LVCSR-based spoken keyword search},
  author = {I-Fan Chen and Chongjia Ni and Boon Pang Lim and Nancy F. Chen and Chin-Hui Lee},
  booktitle = {ICASSP 2015},
  year = {2015}
}