Order-free spoken term detection

Lidia Mangu; George Saon; Michael Picheny; Brian Kingsbury

ICASSP 2015accepted0 citations

Order-free spoken term detection

Lidia Mangu, George Saon, Michael Picheny, Brian Kingsbury

Abstract

In this paper, we propose Time-Marked Word (TMW) lists as a replacement for the lattices and Confusion Networks (CNs) widely used as indexing vehicles for Spoken Term Detection (STD). In a TMW list, candidates are simply tagged with posterior probabilities and time information and stored as a large list of words: the additional ordering present in a lattice or CN is discarded. TMW lists compactly summarize a large ASR search space. Representing a large search space is critical for STD metrics such as ATWV that heavily penalize misses of rare keywords. Comparisons on the OpenKWS 2014 Tamil limited language pack task [1] show that the new TMW-based indexing results in better performance while being faster and having a smaller footprint.

BibTeX

@inproceedings{icassp2015_orderfreespokent,
  title = {Order-free spoken term detection},
  author = {Lidia Mangu and George Saon and Michael Picheny and Brian Kingsbury},
  booktitle = {ICASSP 2015},
  year = {2015}
}