Deep spoken keyword spotting: An overview
Spoken keyword spotting (KWS) deals with the identification of keywords in audio streams
and has become a fast-growing technology thanks to the paradigm shift introduced by deep …
and has become a fast-growing technology thanks to the paradigm shift introduced by deep …
Method and system for efficient spoken term detection using confusion networks
US9196243B2 - Method and system for efficient spoken term detection using confusion
networks - Google Patents US9196243B2 - Method and system for efficient spoken term …
networks - Google Patents US9196243B2 - Method and system for efficient spoken term …
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 …
speech. However, achieving high detection performance, faster speed, detecting ot-of …
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 …
match candidates for a query using a processor, each of the plurality of sets of match …
Query-by-example keyword spotting using long short-term memory networks
We present a novel approach to query-by-example keyword spotting (KWS) using a long
short-term memory (LSTM) recurrent neural network-based feature extractor. In our …
short-term memory (LSTM) recurrent neural network-based feature extractor. In our …
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 …
Query-by-example search with discriminative neural acoustic word embeddings
Query-by-example search often uses dynamic time warping (DTW) for comparing queries
and proposed matching segments. Recent work has shown that comparing speech …
and proposed matching segments. Recent work has shown that comparing speech …
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 …
aims to find occurrences of a spoken query in a set of audio documents, has gained the …
Segmental acoustic indexing for zero resource keyword search
The task of zero resource query-by-example keyword search has received much attention in
recent years as the speech technology needs of the developing world grow. These systems …
recent years as the speech technology needs of the developing world grow. These systems …
[PDF][PDF] Contextual information improves OOV detection in speech
Abstract Out-of-vocabulary (OOV) words represent an important source of error in large
vocabulary continuous speech recognition (LVCSR) systems. These words cause …
vocabulary continuous speech recognition (LVCSR) systems. These words cause …