Trung Ngo Trong
Trung Ngo Trong
Ph.D. in Machine Learning
Verified email at - Homepage
Cited by
Cited by
Deep Language: a comprehensive deep learning approach to end-to-end language recognition.
TN Trong, V Hautamäki, KA Lee
Odyssey 2016, 109-116, 2016
The 2015 NIST language recognition evaluation: the shared view of I2R, Fantastic4 and SingaMS
KA Lee, H Li, L Deng, V Hautamäki, W Rao, X Xiao, A Larcher, H Sun, ...
Interspeech 2016 2016, 3211-3215, 2016
I4U submission to NIST SRE 2018: Leveraging from a decade of shared experiences
KA Lee, V Hautamaki, T Kinnunen, H Yamamoto, K Okabe, V Vestman, ...
arXiv preprint arXiv:1904.07386, 2019
Voxceleb enrichment for age and gender recognition
K Hechmi, TN Trong, V Hautamäki, T Kinnunen
2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2021
Semisupervised Generative Autoencoder for Single-Cell Data
MH Trung Ngo Trong, Juha Mehtonen, Gerardo González, Roger Kramer, Ville ...
Journal of Computational Biology 26 (, 2019
Variation in Spoken North Sami Language.
K Jokinen, TN Trong, V Hautamäki
Interspeech, 3299-3303, 2016
Maximal figure-of-merit framework to detect multi-label phonetic features for spoken language recognition
I Kukanov, TN Trong, V Hautamäki, SM Siniscalchi, VM Salerno, KA Lee
IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 682-695, 2020
Enabling spoken dialogue systems for low-resourced languages—end-to-end dialect recognition for North Sami
TN Trong, K Jokinen, V Hautamäki
9th International Workshop on Spoken Dialogue System Technology, 221-235, 2019
Body movements and laughter recognition: experiments in first encounter dialogues
K Jokinen, TN Trong, G Wilcock
Proceedings of the Workshop on Multimodal Analyses enabling Artificial …, 2016
First time encounters with Roberta: a humanoid assistant for conversational autobiography creation
M Lee, S Schlögl, S Montenegro, A López, A Ratni, TN Trong, JM Olaso, ...
Proceedings of the 12th Summer Workshop on Multimodal Interfaces (eNTERFACE …, 2017
Sisua: Semi-supervised generative autoencoder for single cell data
T Ngo Trong, R Kramer, J Mehtonen, G González, V Hautamäki, ...
bioRxiv, 631382, 2019
Staircase network: structural language identification via hierarchical attentive units
TN Trong, V Hautamäki, K Jokinen
arXiv preprint arXiv:1804.11067, 2018
Lifeline dialogues with roberta
A López, A Ratni, TN Trong, JM Olaso, S Montenegro, M Lee, F Haider, ...
Future and Emerging Trends in Language Technology. Machine Learning and Big …, 2017
Towards Debugging Deep Neural Networks by Generating Speech Utterances
B Soomro, A Kanervisto, TN Trong, V Hautamäki
arXiv preprint arXiv:1907.03164, 2019
Fantastic 4 system for NIST 2015 language recognition evaluation
KA Lee, V Hautamäki, A Larcher, W Rao, H Sun, TH Nguyen, G Wang, ...
arXiv preprint arXiv:1602.01929, 2016
Laughter and body movements as communicative actions in interactions
K Jokinen, TN Trong
Annotation, Recognition and Evaluation of Actions, 11, 2018
Conversational Topic Modelling in First Encounter Dialogues
TN Trong, K Jokinen
Conversational topic modelling in first encounter dialogues, 0
I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences
K Aik Lee, V Hautamaki, T Kinnunen, H Yamamoto, K Okabe, V Vestman, ...
arXiv e-prints, arXiv: 1904.07386, 2019
Laughter and Body Movements as Communicative Actions in Encounters
PK Jokinen, TN Trong
LREC workshop on Annotation, Recognition and Evaluation of Actions, 2018
A comprehensive deep learning approach to end-to-end language identification
T Ngo Trong
Itä-Suomen yliopisto, 2017
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