Results 1 to 10 of about 21,687 (132)
A phonetic-based approach to query-by-example spoken term detection [PDF]
2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 2013 The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-41822-8_63Query-by-Example Spoken Term Detection (QbE-STD) tasks are usually addressed by representing speech signals as a sequence of feature vectors by means of a ...
Calvo Lance, Marcos +4 more
core +14 more sources
ALBAYZIN Query-by-example Spoken Term Detection 2016 evaluation [PDF]
EURASIP Journal on Audio, Speech, and Music Processing, 2018 Query-by-example Spoken Term Detection (QbE STD) aims to retrieve data from a speech repository given an acoustic (spoken) query containing the term of interest as the input.
Javier Tejedor +9 more
doaj +13 more sources
Comparison of ALBAYZIN query-by-example spoken term detection 2012 and 2014 evaluations [PDF]
EURASIP Journal on Audio, Speech, and Music Processing, 2016 Query-by-example spoken term detection (QbE STD) aims at retrieving data from a speech repository given an acoustic query containing the term of interest as input. Nowadays, it is receiving much interest due to the large volume of multimedia information.
Docío-Fernández, Laura +4 more
core +10 more sources
Neural Network Based End-to-End Query by Example Spoken Term Detection [PDF]
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2020 This paper focuses on the problem of query by example spoken term detection (QbE-STD) in zero-resource scenario. State-of-the-art approaches primarily rely on dynamic time warping (DTW) based template matching techniques using phone posterior or bottleneck features extracted from a deep neural network (DNN).
Dhananjay Ram +2 more
openaire +4 more sources
Search on speech from spoken queries: the Multi-domain International ALBAYZIN 2018 Query-by-Example Spoken Term Detection Evaluation [PDF]
EURASIP Journal on Audio, Speech, and Music Processing, 2019 The huge amount of information stored in audio and video repositories makes search on speech (SoS) a priority area nowadays. Within SoS, Query-by-Example Spoken Term Detection (QbE STD) aims to retrieve data from a speech repository given a spoken query.
Javier Tejedor +6 more
doaj +4 more sources
Query-by-Example with Acoustic Word Embeddings Using wav2vec Pretraining [PDF]
Jisuanji kexue, 2022 Query-by-Example is a popular keyword detection method in the absence of speech resources.It can build a keyword query system with excellent performance when there are few labeled voice resources and a lack of pronunciation dictionaries.In recent years ...
LI Zhao-qi, LI Ta
doaj +1 more source
Applied Sciences, 2021 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.
Javier Tejedor +4 more
doaj +1 more source
Query-by-example spoken term detection on multilingual unconstrained speech [PDF]
Interspeech 2014, 2014 As part of the MediaEval 2013 benchmark evaluation campaign, the objective of the Spoken Web Search (SWS) task was to perform Query-by-Example Spoken Term Detection (QbESTD) using audio queries in a low-resource setting. After two successful editions and a continuously growing interest in the scientific community, a special effort was made in SWS 2013 ...
Anguera, Xavier +5 more
openaire +2 more sources
Unsupervised acoustic sub-word unit detection for query-by-example spoken term detection [PDF]
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011 In this paper we present a method for automatically generating acoustic sub-word units that can substitute conventional phone models in a query-by-example spoken term detection system. We generate the sub-word units with a modified version of our speaker diarization system.
Huijbregts, M.A.H. +2 more
openaire +2 more sources
Access to recorded interviews: A research agenda [PDF]
, 2008 Recorded interviews form a rich basis for scholarly inquiry. Examples include oral histories, community memory projects, and interviews conducted for broadcast media.
Heeren, W.F.L. +3 more
core +7 more sources