Spoken content retrieval—beyond cascading speech recognition with text retrieval
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 …
the audio rather than text descriptions. This potentially eliminates the requirement of …
A high-performance Cantonese keyword search system
We present a system for keyword search on Cantonese conversational telephony audio,
collected for the IARPA Babel program, that achieves good performance by combining …
collected for the IARPA Babel program, that achieves good performance by combining …
Spoken term detection ALBAYZIN 2014 evaluation: overview, systems, results, and discussion
J Tejedor, DT Toledano, P Lopez-Otero… - EURASIP Journal on …, 2015 - Springer
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 …
representation of the search term. Nowadays, it is receiving much interest due to the large …
Method and apparatus for expansion of search queries on large vocabulary continuous speech recognition transcripts
M Wasserblat, M Gorodetsky, G Lembersky - US Patent 9,245,523, 2016 - Google Patents
BACKGROUND Many organizations, such as commercial organizations, financial
institutions, government agencies or public safety organizations conduct numerous …
institutions, government agencies or public safety organizations conduct numerous …
The multi-domain international search on speech 2020 albayzin evaluation: Overview, systems, results, discussion and post-evaluation analyses
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 …
speech (SoS) a challenging area that is continuously receiving much interest. Within SoS …
[PDF][PDF] Subword and phonetic search for detecting out-of-vocabulary keywords
D Karakos, R Schwartz - Fifteenth Annual Conference of the …, 2014 - isca-archive.org
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 …
(OOV) keywords, in terms of their ATWV scores. We considered three types of recognition …
System and method for speech trend analytics with objective function and feature constraints
ID Melamed, M Gilbert - US Patent 9,213,978, 2015 - Google Patents
GOL 25/27(2013.01)(57) ABSTRACT GOL 25/72(2013.01) Disclosed herein are systems,
methods, and non-transitory G06O 30/00(2012.01) computer-readable storage media for …
methods, and non-transitory G06O 30/00(2012.01) computer-readable storage media for …
A robust/fast spoken term detection method based on a syllable n-gram index with a distance metric
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 …
recognition of spoken words. Consequently, sub-word unit based recognition and retrieval …
Comparison of methods for language-dependent and language-independent query-by-example spoken term detection
This article investigates query-by-example (QbE) spoken term detection (STD), in which the
query is not entered as text, but selected in speech data or spoken. Two feature extractors …
query is not entered as text, but selected in speech data or spoken. Two feature extractors …
Out-of-vocabulary spoken term detection
D Wang - 2010 - era.ed.ac.uk
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 …
major challenge faced by an STD system is the serious performance reduction when …