Yougen Yuan

Pairwise learning using multi-lingual bottleneck features for low-resource query-by-example spoken term detection

We propose to use a feature representation obtained by pairwise learning in a low-resource language for query-by-example spoken term detection (QbE-STD). We assume that word pairs identified by humans are available in the low-resource target language. The word pairs are parameterized by a multi-ling…