Results 21 to 30 of about 1,466 (245)
Query-by-Example Spoken Term Detection ALBAYZIN 2012 evaluation: overview, systems, results, and discussion [PDF]
EURASIP Journal on Audio, Speech, and Music Processing, 2013 Query-by-Example Spoken Term Detection (QbE STD) aims at retrieving data from a speech data repository given an acoustic query containing the term of interest as input. Nowadays, it has been receiving much interest due to the high volume of information stored in audio or audiovisual format.
Javier Tejedor +6 more
openalex +8 more sources
Query-by-Example Spoken Term Detection Evaluation on Low-Resource Languages
, 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 (QbE-STD), using spoken queries to retrieve matching segments in a set of audio files. As in previous editions, the SWS 2013 evaluation focused on the development of technology specifically
Xavier Anguera +5 more
openalex +3 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
COMBINING TEMPORAL AND SPECTRAL INFORMATION FOR QUERY-BY-EXAMPLE SPOKEN TERM DETECTION
, 2014 Publication in the conference proceedings of EUSIPCO, Lisbon, Portugal ...
Ciro Gràcia +2 more
openalex +2 more sources
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
Learning Acoustic Word Embeddings With Dynamic Time Warping Triplet Networks
IEEE Access, 2020 In the last years, acoustic word embeddings (AWEs) have gained significant interest in the research community. It applies specifically to the application of acoustic embeddings in the Query-by-Example Spoken Term Detection (QbE-STD) search and related ...
Denis Shitov +3 more
doaj +1 more source
Query-by-Example Speech Search Using Recurrent Neural Acoustic Word Embeddings With Temporal Context
IEEE Access, 2019 Acoustic word embeddings (AWEs) have been popular in low-resource query-by-example speech search. They are using vector distances to find the spoken query in search content, which has much lower computation than the conventional dynamic time warping (DTW)
Yougen Yuan +4 more
doaj +1 more source
Molecular Oncology, EarlyView.The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg +43 more
wiley +1 more source
Pathogenic Neurofibromatosis type 1 gene variants in tumors of non‐NF1 patients and role of R1276
FEBS Open Bio, EarlyView.Somatic variants of the neurofibromatosis type 1 (NF1) gene occur across neoplasms without clinical manifestation of the disease NF1. We identified emerging somatic pathogenic NF1 variants and hotspots, for example, at the arginine finger 1276. Those missense variants provide fundamental information about neurofibromin's role in cancer.
Mareike Selig +7 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein +7 more
wiley +1 more source