The 2015 NIST Language Recognition Evaluation: The Shared View of I2R, Fantastic4 and SingaMS

Kong Lee 1 Haizhou Li 1 Li Deng 2 Ville Hautamäki 3 Wei Rao 4 Xiong Xiao 4 Anthony Larcher 5 Hanwu Sun 1 Trung Nguyen 1 Guangsen Wang 1 Aleksandr Sizov 1, 3 Jianshu Chen 2 Ivan Kukanov 3 Amir Poorjam 3 Trung Trong 3 Cheng-Lin Xu 4 Hai-Hua Xu 4 Bin Ma 1 Eng-Siong Chng 4 Sylvain Meignier 5
1 Networking Protocols Department (Agency for Science, Technology and Research (A*STAR), Institute for Infocomm Research (I2R))
2 Microsoft Research [Redmond]
3 University of Eastern Finland
4 Nanyang Technological University [Singapour]
5 LIUM - Laboratoire d'Informatique de l'Université du Mans
Abstract : The series of language recognition evaluations (LRE's) conducted by the National Institute of Standards and Technology (NIST) have been one of the driving forces in advancing spoken language recognition technology. This paper presents a shared view of five institutions resulting from our collaboration toward LRE 2015 submissions under the names of I2R, Fan-tastic4, and SingaMS. Among others, LRE'15 emphasizes on language detection in the context of closely related languages, which is different from previous LRE's. From the perspective of language recognition system design, we have witnessed a major paradigm shift in adopting deep neural network (DNN) for both feature extraction and classifier. In particular, deep bottleneck features (DBF) have a significant advantage in replacing the shifted-delta-cepstral (SDC) which has been the only option in the past. We foresee deep learning is going to serve as a major driving force in advancing spoken language recognition system in the coming years.
Type de document :
Communication dans un congrès
Interspeech 2016, 2016, San Fransisco, United States. Interspeech 2016, 2016, pp.3211 - 3215, 2016, 〈10.21437/Interspeech.2016-624〉
Liste complète des métadonnées

Littérature citée [35 références]  Voir  Masquer  Télécharger
https://hal.archives-ouvertes.fr/hal-01433164
Contributeur : Sylvain Meignier <>
Soumis le : vendredi 24 mars 2017 - 23:48:25
Dernière modification le : jeudi 14 mars 2019 - 11:46:06
Document(s) archivé(s) le : dimanche 25 juin 2017 - 12:27:57

Fichier

0624_v2.pdf
Fichiers éditeurs autorisés sur une archive ouverte

Identifiants

Collections

UNIV-LEMANS | LIUM | LIUM-LST

Citation

Kong Lee, Haizhou Li, Li Deng, Ville Hautamäki, Wei Rao, et al.. The 2015 NIST Language Recognition Evaluation: The Shared View of I2R, Fantastic4 and SingaMS. Interspeech 2016, 2016, San Fransisco, United States. Interspeech 2016, 2016, pp.3211 - 3215, 2016, 〈10.21437/Interspeech.2016-624〉. 〈hal-01433164〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

380

Téléchargements de fichiers

192

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD