We investigate implicit vocabulary learning by adults who are exposed to a language in their
ambient environment. Most New Zealanders do not speak Māori, yet are exposed to it …

We introduce the first attempt at automatic speech recognition (ASR) in Inuktitut, as a
representative for polysynthetic, low-resource languages, like many of the 900 Indigenous …

Conventional keyword search systems operate on automatic speech recognition (ASR)
outputs, which causes them to have a complex indexing and search pipeline. This has led to …

Spoken term detection, especially of out-of-vocabulary (OOV) keywords, benefits from the
use of sub-word systems. We experiment with different language-independent approaches …

In this paper, we propose a novel approach to keyword search (KWS) in low-resource
languages, which provides an alternative method for retrieving the terms of interest …

The paper describes a novel approach to Spoken Term Detection (STD) in large spoken
archives using deep LSTM networks. The work is based on the previous approach of using …

The modeling of text queries as sequences of embeddings for conducting similarity
matching based search within speech features has been recently shown to improve keyword …

Spoken term detection (STD) is effectively implemented using fundamental techniques such
as automatic speech recognition (ASR) and information retrieval. Through these methods …

In recent years, the standard hybrid DNN-HMM speech recognizers are outperformed by the
end-to-end speech recognition systems. One of the very promising approaches is the …

This work proposes a novel approach to out-of-vocabulary (OOV) keyword search (KWS)
task. The proposed approach is based on using high-level features from an automatic …