Direct acoustics-to-word (A2W) models in the end-to-end paradigm have received
increasing attention compared to conventional subword based automatic speech …

Spoken content in languages of emerging importance needs to be searchable to provide
access to the underlying information. In this paper, we investigate the problem of extending …

Keyword search, in the context of low resource languages, has emerged as a key area of
research. The dominant approach in keyword search is to use Automatic Speech …

This paper presents methods to improve retrieval of Out-Of-Vocabulary (OOV) terms in a
Spoken Term Detection (STD) system. We demonstrate that automated tagging of OOV …

This paper presents our work on the retrieval of spoken information in Turkish. Traditional
speech retrieval systems perform indexing and retrieval over automatic speech recognition …

Spoken term detection (STD) is a fundamental task for multimedia information retrieval. A
major challenge faced by an STD system is the serious performance reduction when …

This paper investigates a variety of progressively more complex similarity measures for
vocabulary independent search in phone based audio transcripts. English audio data is …

Keyword Spotting (KWS) systems can be divided into two main groups: Hidden Markov
Model (HMM)-based and Discriminative KWS (DKWS) systems. In this paper, we propose an …

Keyword spotting refers to detection of all occurrences of any given keyword in input speech
utterances. In this paper, we define a keyword spotter as a binary classifier that separates a …

Spoken keyword spotting refers to the detection of all occurrences of desired words in
continuous speech utterances. This paper includes a comprehensive review on various …