The present disclosure describes an exemplary hybrid client/server architecture that may be
utilized leverage the unique capabilities of both remote and local services. Data may be …

Voice interfaces often struggle with specific types of named content. Domain-specific
terminology and naming may push the bounds of standard language, especially in domains …

Spoken term detection (STD) aims at retrieving data from a speech repository given a textual
representation of the search term. Nowadays, it is receiving much interest due to the large …

Abstract While large Knowledge Graphs (KGs) already cover a broad range of domains to
an extent sufficient for general use, they typically lack emerging entities that are just starting …

Abstract Out-of-vocabulary (OOV) words are unknown words that appear in the testing
speech but not in the recognition vocabulary. They are usually important content words such …

The large amount of information stored in audio and video repositories makes search on
speech (SoS) a challenging area that is continuously receiving much interest. Within SoS …

The diachronic nature of broadcast news data leads to the problem of out-of-vocabulary
(OOV) words in large vocabulary continuous speech recognition (LVCSR) systems. Analysis …

Abstract Named Entity Recognition (NER), an information extraction task, is typically applied
to spoken documents by cascading a large vocabulary continuous speech recognizer …

For spoken document retrieval, it is crucial to consider Out-of-vocabulary (OOV) and the mis-
recognition of spoken words. Consequently, sub-word unit based recognition and retrieval …

In this paper, we address the out-of-vocabulary (OOV) detection and recovery problem by
developing three different fragmentword hybrid systems. A fragment language model (LM) …