3 citations · 4 across the 2 of their papers we have counts for
5 papers
VoxCeleb Enrichment for Age and Gender Recognition
Khaled Hechmi, Trung Ngo Trong, Ville Hautamaki +1
VoxCeleb datasets are widely used in speaker recognition studies. Our work serves two purposes. First, we provide speaker age labels and (an alternative) annotation of speaker gend…
Towards Debugging Deep Neural Networks by Generating Speech Utterances
Bilal Soomro, Anssi Kanervisto, Trung Ngo Trong +1
Deep neural networks (DNN) are able to successfully process and classify speech utterances. However, understanding the reason behind a classification by DNN is difficult. One such…
I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences
Kong Aik Lee, Ville Hautamaki, Tomi Kinnunen +43
The I4U consortium was established to facilitate a joint entry to NIST speaker recognition evaluations (SRE). The latest edition of such joint submission was in SRE 2018, in which…
Staircase Network: structural language identification via hierarchical attentive units
Trung Ngo Trong, Ville Hautamäki, Kristiina Jokinen
Language recognition system is typically trained directly to optimize classification error on the target language labels, without using the external, or meta-information in the est…
Fantastic 4 system for NIST 2015 Language Recognition Evaluation
Kong Aik Lee, Ville Hautamäki, Anthony Larcher +14
This article describes the systems jointly submitted by Institute for Infocomm (IR), the Laboratoire d'Informatique de l'Université du Maine (LIUM), Nanyang Technology Universi…