Rasa Lileikyte — accepted AI-conference papers

2017

An investigation into language model data augmentation for low-resourced STT and KWS

Guangpu Huang, Thiago Fraga-Silva, Lori Lamel, Jean-Luc Gauvain, Arseniy Gorin, Antoine Laurent +2

ICASSP 2017accepted

This paper reports on investigations using two techniques for language model text data augmentation for low-resourced automatic speech recognition and keyword search. Lowresourced languages are characterized by limited training materials, which typically results in high out-of-vocabulary (OOV) rates…

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2017

Effective keyword search for low-resourced conversational speech

Rasa Lileikyte, Thiago Fraga-Silva, Lori Lamel, Jean-Luc Gauvain, Antoine Laurent, Guangpu Huang

ICASSP 2017accepted

In this paper we aim to enhance keyword search for conversational telephone speech under low-resourced conditions. Two techniques to improve the detection of out-of-vocabulary keywords are assessed in this study: using extra text resources to augment the lexicon and language model, and via subword u…

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