Induced Inflection-Set Keyword Search in Speech
Computation and Language
2020-05-25 v2 Sound
Audio and Speech Processing
Abstract
We investigate the problem of searching for a lexeme-set in speech by searching for its inflectional variants. Experimental results indicate how lexeme-set search performance changes with the number of hypothesized inflections, while ablation experiments highlight the relative importance of different components in the lexeme-set search pipeline and the value of using curated inflectional paradigms. We provide a recipe and evaluation set for the community to use as an extrinsic measure of the performance of inflection generation approaches.
Cite
@article{arxiv.1910.12299,
title = {Induced Inflection-Set Keyword Search in Speech},
author = {Oliver Adams and Matthew Wiesner and Jan Trmal and Garrett Nicolai and David Yarowsky},
journal= {arXiv preprint arXiv:1910.12299},
year = {2020}
}
Comments
To appear in SIGMORPHON 2020