Recently there has been interest in the approaches for training speech recognition systems
for languages with limited resources. Under the IARPA Babel program such resources have …

Spoken content retrieval refers to directly indexing and retrieving spoken content based on
the audio rather than text descriptions. This potentially eliminates the requirement of …

In recent years, so-called,“end-to-end” speech recognition systems have emerged as viable
alternatives to traditional ASR frameworks. Keyword search, localizing an orthographic …

In the last years, the task of Query-by-Example Spoken Term Detection (QbE-STD), which
aims to find occurrences of a spoken query in a set of audio documents, has gained the …

This paper presents the progress of acoustic models for lowresourced languages
(Assamese, Bengali, Haitian Creole, Lao, Zulu) developed within the second evaluation …

We compare several approaches, separately and together, for spotting of out-of-vocabulary
(OOV) keywords, in terms of their ATWV scores. We considered three types of recognition …

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 …

Out-of-vocabulary (OOV) keywords present a challenge for keyword search (KWS) systems
especially in the low-resource setting. Previous research has centered around 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 …