Method and system for efficient spoken term detection using confusion networks

BED Kingsbury, HK Kuo, L Mangu, H Soltau - US Patent 9,196,243, 2015 - Google Patents
US9196243B2 - Method and system for efficient spoken term detection using confusion
networks - Google Patents US9196243B2 - Method and system for efficient spoken term …

Speech recognition and keyword spotting for low-resource languages: Babel project research at cued

MJF Gales, KM Knill, A Ragni… - … workshop on spoken …, 2014 - eprints.whiterose.ac.uk
Recently there has been increased interest in Automatic Speech Recognition (ASR) and
Key Word Spotting (KWS) systems for low resource languages. One of the driving forces for …

Classifier-based system combination for spoken term detection

BED Kingsbury, HKJ Kuo, LL Mangu… - US Patent 9,477,753, 2016 - Google Patents
Systems and methods for processing a query include deter mining a plurality of sets of
match candidates for a query using a processor, each of the plurality of sets of match …

Recent developments in spoken term detection: a survey

A Mandal, KR Prasanna Kumar, P Mitra - International Journal of Speech …, 2014 - Springer
Spoken term detection (STD) provides an efficient means for content based indexing of
speech. However, achieving high detection performance, faster speed, detecting ot-of …

Streaming small-footprint keyword spotting using sequence-to-sequence models

Y He, R Prabhavalkar, K Rao, W Li… - 2017 IEEE Automatic …, 2017 - ieeexplore.ieee.org
We develop streaming keyword spotting systems using a recurrent neural network
transducer (RNN-T) model: an all-neural, end-to-end trained, sequence-to-sequence model …

Spoken content retrieval—beyond cascading speech recognition with text retrieval

L Lee, J Glass, H Lee, C Chan - IEEE/ACM Transactions on …, 2015 - ieeexplore.ieee.org
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 …

Retrieval and browsing of spoken content

C Chelba, TJ Hazen, M Saraclar - IEEE Signal Processing …, 2008 - ieeexplore.ieee.org
Ever-increasing computing power and connectivity bandwidth, together with falling storage
costs, are resulting in an overwhelming amount of data of various types being produced …

Turkish broadcast news transcription and retrieval

E Arisoy, D Can, S Parlak, H Sak… - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
This paper summarizes our recent efforts for building a Turkish Broadcast News transcription
and retrieval system. The agglutinative nature of Turkish leads to a high number of out-of …

High-performance query-by-example spoken term detection on the SWS 2013 evaluation

LJ Rodriguez-Fuentes, A Varona… - … , Speech and Signal …, 2014 - ieeexplore.ieee.org
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 …

System combination and score normalization for spoken term detection

J Mamou, J Cui, X Cui, MJF Gales… - … , Speech and Signal …, 2013 - ieeexplore.ieee.org
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 …