Johan Rohdin
Johan Rohdin
Verified email at fit.vutbr.cz - Homepage
Title
Cited by
Cited by
Year
End-to-end DNN based speaker recognition inspired by i-vector and PLDA
J Rohdin, A Silnova, M Diez, O Plchot, P Matějka, L Burget
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
342018
BUT System for DIHARD Speech Diarization Challenge 2018.
M Diez, F Landini, L Burget, J Rohdin, A Silnova, K Zmolíková, O Novotný, ...
Interspeech, 2798-2802, 2018
262018
How to improve your speaker embeddings extractor in generic toolkits
H Zeinali, L Burget, J Rohdin, T Stafylakis, JH Cernocky
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
202019
Speaker verification using end-to-end adversarial language adaptation
J Rohdin, T Stafylakis, A Silnova, H Zeinali, L Burget, O Plchot
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
162019
Analysis and Description of ABC Submission to NIST SRE 2016.
O Plchot, P Matejka, A Silnova, O Novotný, MD Sánchez, J Rohdin, ...
INTERSPEECH, 1348-1352, 2017
152017
i-Vector selection for effective PLDA modeling in speaker recognition
S Biswas, J Rohdin, K Shinoda
Proc. ISCA ODYSSEY, 100-105, 2014
112014
Constrained discriminative PLDA training for speaker verification
J Rohdin, S Biswas, K Shinoda
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
92014
On the Usage of Phonetic Information for Text-Independent Speaker Embedding Extraction.
S Wang, J Rohdin, L Burget, O Plchot, Y Qian, K Yu, J Cernocký
INTERSPEECH, 1148-1152, 2019
72019
Detecting spoofing attacks using vgg and sincnet: but-omilia submission to asvspoof 2019 challenge
H Zeinali, T Stafylakis, G Athanasopoulou, J Rohdin, I Gkinis, L Burget, ...
arXiv preprint arXiv:1907.12908, 2019
72019
Bayesian HMM Based x-Vector Clustering for Speaker Diarization.
M Diez, L Burget, S Wang, J Rohdin, J Cernocký
INTERSPEECH, 346-350, 2019
72019
Self-supervised speaker embeddings
T Stafylakis, J Rohdin, O Plchot, P Mizera, L Burget
arXiv preprint arXiv:1904.03486, 2019
62019
Robust discriminative training against data insufficiency in PLDA-based speaker verification
J Rohdin, S Biswas, K Shinoda
Computer Speech & Language 35, 32-57, 2016
62016
Robust discriminative training against data insufficiency in PLDA-based speaker verification
J Rohdin, S Biswas, K Shinoda
Computer Speech & Language 35, 32-57, 2016
62016
BUT System Description for DIHARD Speech Diarization Challenge 2019
F Landini, S Wang, M Diez, L Burget, P Matějka, K Žmolíková, L Mošner, ...
arXiv preprint arXiv:1910.08847, 2019
52019
Jan ˇCernocky,“On the usage of phonetic information for text-independent speaker embedding extraction,”
S Wang, J Rohdin, L Burget, O Plchot, Y Qian, K Yu
Proc. Interspeech, 1148-1152, 2019
52019
Jan ernock,“Bayesian HMM Based x-Vector Clustering for Speaker Diarization,”
M Diez, L Burget, S Wang, J Rohdin
Proc. Interspeech 2019, 2019
52019
Meta-embeddings: a probabilistic generalization of embeddings in machine learning
N Brümmer, L Burget, P Garcia, O Plchot, J Rohdin, D Garcia-Romero, ...
progress. Draft available: github. com/bsxfan/meta-embeddings 2018, 2017
52017
Discriminative PLDA training with application-specific loss functions for speaker verification.
J Rohdin, S Biswas, K Shinoda
Odyssey, 26-32, 2014
52014
Analysis of BUT-PT Submission for NIST LRE 2017.
O Plchot, P Matejka, O Novotný, S Cumani, A Lozano-Diez, J Slavicek, ...
Odyssey, 47-53, 2018
42018
ABC NIST SRE 2016 system description
N Brummer, A Swart, JJ Prieto, P Garcıa, P Matejka, O Plchot, M Diez, ...
Proc. of the NIST SRE 2016 workshop, 2016
42016
The system can't perform the operation now. Try again later.
Articles 1–20