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 …

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 …

While spoken term detection (STD) systems based on word indices provide good accuracy,
there are several practical applications where it is infeasible or too costly to employ an …

We present a lattice-based STD method for German broadcast news data and compare it to
a previously proposed fuzzy search. Due to the important out-of-vocabulary (OOV) problem …

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 …

“Phonetic Search Methods for Large Databases” focuses on Keyword Spotting (KWS) within
large speech databases. The brief will begin by outlining the challenges associated with …

Spoken Term Detection (STD) that considers the out-of-vocabulary (OOV) problem has
generated significant interest in the field of spoken document processing. This study …

Spoken term detection (STD) is the name given to the task of searching large amounts of
audio for occurrences of spoken terms, which are typically single words or short phrases …

Spoken term detection (STD) popularly involves performing word or sub-word level speech
recognition and indexing the result. This work challenges the assumption that improved …

Keyword search (KWS) is an important application of spoken language technology. The
technique of Large Vocabulary Continuous Speech Recognition (LVCSR) is playing an …