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2020 – today
- 2024
[j20]Federico Landini
, Mireia Díez, Themos Stafylakis, Lukás Burget:
DiaPer: End-to-End Neural Diarization With Perceiver-Based Attractors. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3450-3465 (2024)- [c207]Jiangyu Han, Federico Landini, Johan Rohdin, Mireia Díez, Lukás Burget, Yuhang Cao, Heng Lu, Jan Cernocký:
Diacorrect: Error Correction Back-End for Speaker Diarization. ICASSP 2024: 11181-11185 - [c206]Karel Benes, Martin Kocour, Lukás Burget:
Hystoc: Obtaining Word Confidences for Fusion of End-To-End ASR Systems. ICASSP 2024: 11276-11280 - [c205]Dominik Klement, Mireia Díez, Federico Landini, Lukás Burget, Anna Silnova, Marc Delcroix, Naohiro Tawara:
Discriminative Training of VBx Diarization. ICASSP 2024: 11871-11875 - [c204]Lin Zhang, Themos Stafylakis, Federico Landini, Mireia Díez, Anna Silnova, Lukás Burget:
Do End-to-End Neural Diarization Attractors Need to Encode Speaker Characteristic Information? Odyssey 2024: 123-130 - [i55]Lin Zhang, Themos Stafylakis, Federico Landini, Mireia Díez, Anna Silnova, Lukás Burget:
Do End-to-End Neural Diarization Attractors Need to Encode Speaker Characteristic Information? CoRR abs/2402.19325 (2024) - [i54]Jan Pesán, Santosh Kesiraju, Lukás Burget, Jan Honza Cernocký:
Beyond the Labels: Unveiling Text-Dependency in Paralinguistic Speech Recognition Datasets. CoRR abs/2403.07767 (2024) - [i53]Hossein Zeinali, Kong Aik Lee, Jahangir Alam, Lukás Burget:
Text-dependent Speaker Verification (TdSV) Challenge 2024: Challenge Evaluation Plan. CoRR abs/2404.13428 (2024) - [i52]Johan Rohdin, Lin Zhang, Oldrich Plchot, Vojtech Stanek, David Mihola, Junyi Peng, Themos Stafylakis, Dmitriy Beveraki, Anna Silnova, Jan Brukner, Lukás Burget:
BUT Systems and Analyses for the ASVspoof 5 Challenge. CoRR abs/2408.11152 (2024) - 2023
- [j19]Dong Yu, Yifan Gong, Michael A. Picheny, Bhuvana Ramabhadran, Dilek Hakkani-Tür, Rohit Prasad, Heiga Zen, Jan Skoglund, Jan Honza Cernocký, Lukás Burget, Abdelrahman Mohamed:
Twenty-Five Years of Evolution in Speech and Language Processing. IEEE Signal Process. Mag. 40(5): 27-39 (2023) - [c203]Sofoklis Kakouros, Themos Stafylakis, Ladislav Mosner, Lukás Burget:
Speech-Based Emotion Recognition with Self-Supervised Models Using Attentive Channel-Wise Correlations and Label Smoothing. ICASSP 2023: 1-5 - [c202]Federico Landini, Mireia Díez, Alicia Lozano-Diez, Lukás Burget:
Multi-Speaker and Wide-Band Simulated Conversations as Training Data for End-to-End Neural Diarization. ICASSP 2023: 1-5 - [c201]Junyi Peng, Themos Stafylakis, Rongzhi Gu, Oldrich Plchot, Ladislav Mosner, Lukás Burget, Jan Cernocký:
Parameter-Efficient Transfer Learning of Pre-Trained Transformer Models for Speaker Verification Using Adapters. ICASSP 2023: 1-5 - [c200]Anna Silnova, Niko Brümmer, Albert Swart, Lukás Burget:
Toroidal Probabilistic Spherical Discriminant Analysis. ICASSP 2023: 1-5 - [c199]Pavel Matejka, Anna Silnova, Josef Slavícek, Ladislav Mosner, Oldrich Plchot, Michal Klco, Junyi Peng, Themos Stafylakis, Lukás Burget:
Description and Analysis of ABC Submission to NIST LRE 2022. INTERSPEECH 2023: 511-515 - [c198]Ladislav Mosner, Oldrich Plchot, Junyi Peng, Lukás Burget, Jan Cernocký:
Multi-Channel Speech Separation with Cross-Attention and Beamforming. INTERSPEECH 2023: 1693-1697 - [c197]Marc Delcroix, Naohiro Tawara, Mireia Díez, Federico Landini, Anna Silnova, Atsunori Ogawa, Tomohiro Nakatani, Lukás Burget, Shoko Araki:
Multi-Stream Extension of Variational Bayesian HMM Clustering (MS-VBx) for Combined End-to-End and Vector Clustering-based Diarization. INTERSPEECH 2023: 3477-3481 - [c196]Junyi Peng, Oldrich Plchot, Themos Stafylakis, Ladislav Mosner, Lukás Burget, Jan Cernocký:
Improving Speaker Verification with Self-Pretrained Transformer Models. INTERSPEECH 2023: 5361-5365 - [i51]Martin Sustek, Samik Sadhu, Lukás Burget, Hynek Hermansky, Jesús Villalba, Laureano Moro-Velázquez, Najim Dehak:
Stabilized training of joint energy-based models and their practical applications. CoRR abs/2303.04187 (2023) - [i50]Karel Benes, Martin Kocour, Lukás Burget:
Hystoc: Obtaining word confidences for fusion of end-to-end ASR systems. CoRR abs/2305.12579 (2023) - [i49]Marc Delcroix, Naohiro Tawara, Mireia Díez, Federico Landini, Anna Silnova, Atsunori Ogawa, Tomohiro Nakatani, Lukás Burget, Shoko Araki:
Multi-Stream Extension of Variational Bayesian HMM Clustering (MS-VBx) for Combined End-to-End and Vector Clustering-based Diarization. CoRR abs/2305.13580 (2023) - [i48]Jiangyu Han, Federico Landini, Johan Rohdin, Mireia Díez, Lukás Burget, Yuhang Cao, Heng Lu, Jan Cernocký:
DiaCorrect: Error Correction Back-end For Speaker Diarization. CoRR abs/2309.08377 (2023) - [i47]Dominik Klement, Mireia Díez, Federico Landini, Lukás Burget, Anna Silnova, Marc Delcroix, Naohiro Tawara:
Discriminative Training of VBx Diarization. CoRR abs/2310.02732 (2023) - [i46]Federico Landini, Mireia Díez, Themos Stafylakis, Lukás Burget:
DiaPer: End-to-End Neural Diarization with Perceiver-Based Attractors. CoRR abs/2312.04324 (2023) - 2022
- [j18]Federico Landini, Ján Profant, Mireia Díez, Lukás Burget:
Bayesian HMM clustering of x-vector sequences (VBx) in speaker diarization: Theory, implementation and analysis on standard tasks. Comput. Speech Lang. 71: 101254 (2022) - [j17]Ekaterina Egorova, Hari Krishna Vydana, Lukás Burget, Jan Honza Cernocký:
Spelling-Aware Word-Based End-to-End ASR. IEEE Signal Process. Lett. 29: 1729-1733 (2022) - [j16]Lucas Ondel, Bolaji Yusuf, Lukás Burget, Murat Saraçlar:
Non-Parametric Bayesian Subspace Models for Acoustic Unit Discovery. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1902-1917 (2022) - [c195]Martin Kocour, Jahnavi Umesh, Martin Karafiát, Jan Svec, Fernando López, Jordi Luque, Karel Benes, Mireia Díez, Igor Szöke, Karel Veselý, Lukás Burget, Jan Cernocký:
BCN2BRNO: ASR System Fusion for Albayzin 2022 Speech to Text Challenge. IberSPEECH 2022: 276-280 - [c194]Jiangyu Han, Yanhua Long, Lukás Burget, Jan Cernocký:
DPCCN: Densely-Connected Pyramid Complex Convolutional Network for Robust Speech Separation and Extraction. ICASSP 2022: 7292-7296 - [c193]Ladislav Mosner, Oldrich Plchot, Lukás Burget, Jan Honza Cernocký:
Multisv: Dataset for Far-Field Multi-Channel Speaker Verification. ICASSP 2022: 7977-7981 - [c192]Ladislav Mosner, Oldrich Plchot, Lukás Burget, Jan Honza Cernocký:
Multi-Channel Speaker Verification with Conv-Tasnet Based Beamformer. ICASSP 2022: 7982-7986 - [c191]Lucas Ondel, Léa-Marie Lam-Yee-Mui, Martin Kocour, Caio Filippo Corro, Lukás Burget:
GPU-Accelerated Forward-Backward Algorithm with Application to Lattice-Free MMI. ICASSP 2022: 8417-8421 - [c190]Themos Stafylakis, Ladislav Mosner, Oldrich Plchot, Johan Rohdin, Anna Silnova, Lukás Burget, Jan Cernocký:
Training speaker embedding extractors using multi-speaker audio with unknown speaker boundaries. INTERSPEECH 2022: 605-609 - [c189]Niko Brummer, Albert Swart, Ladislav Mosner, Anna Silnova, Oldrich Plchot, Themos Stafylakis, Lukás Burget:
Probabilistic Spherical Discriminant Analysis: An Alternative to PLDA for length-normalized embeddings. INTERSPEECH 2022: 1446-1450 - [c188]Murali Karthick Baskar, Tim Herzig, Diana Nguyen, Mireia Díez, Tim Polzehl, Lukás Burget, Jan Cernocký:
Speaker adaptation for Wav2vec2 based dysarthric ASR. INTERSPEECH 2022: 3403-3407 - [c187]Martin Kocour, Katerina Zmolíková, Lucas Ondel, Jan Svec, Marc Delcroix, Tsubasa Ochiai, Lukás Burget, Jan Cernocký:
Revisiting joint decoding based multi-talker speech recognition with DNN acoustic model. INTERSPEECH 2022: 4955-4959 - [c186]Federico Landini, Alicia Lozano-Diez, Mireia Díez, Lukás Burget:
From Simulated Mixtures to Simulated Conversations as Training Data for End-to-End Neural Diarization. INTERSPEECH 2022: 5095-5099 - [c185]Junyi Peng, Rongzhi Gu, Ladislav Mosner, Oldrich Plchot, Lukás Burget, Jan Cernocký:
Learnable Sparse Filterbank for Speaker Verification. INTERSPEECH 2022: 5110-5114 - [c184]Anna Silnova, Themos Stafylakis, Ladislav Mosner, Oldrich Plchot, Johan Rohdin, Pavel Matejka, Lukás Burget, Ondrej Glembek, Niko Brummer:
Analyzing Speaker Verification Embedding Extractors and Back-Ends Under Language and Channel Mismatch. Odyssey 2022: 9-16 - [c183]Jahangir Alam, Radek Benes, Marian Beszédes, Lukás Burget, Mohamed Dahmane, Abderrahim Fathan, Hamed Ghodrati, Ondrej Glembek, Woo Hyun Kang, Pavel Matejka, Ladislav Mosner, Oldrich Plchot, Johan Rohdin, Anna Silnova, Themos Stafylakis:
Development of ABC Systems for the 2021 Edition of NIST Speaker Recognition Evaluation. Odyssey 2022: 346-353 - [c182]Junyi Peng, Oldrich Plchot, Themos Stafylakis, Ladislav Mosner, Lukás Burget, Jan Cernocký:
An Attention-Based Backend Allowing Efficient Fine-Tuning of Transformer Models for Speaker Verification. SLT 2022: 555-562 - [c181]Themos Stafylakis, Ladislav Mosner, Sofoklis Kakouros, Oldrich Plchot, Lukás Burget, Jan Cernocký:
Extracting Speaker and Emotion Information from Self-Supervised Speech Models via Channel-Wise Correlations. SLT 2022: 1136-1143 - [i45]Niko Brümmer, Albert Swart, Ladislav Mosner, Anna Silnova, Oldrich Plchot, Themos Stafylakis, Lukás Burget:
Probabilistic Spherical Discriminant Analysis: An Alternative to PLDA for length-normalized embeddings. CoRR abs/2203.14893 (2022) - [i44]Murali Karthick Baskar, Tim Herzig, Diana Nguyen, Mireia Díez, Tim Polzehl, Lukás Burget, Jan Honza Cernocký:
Speaker adaptation for Wav2vec2 based dysarthric ASR. CoRR abs/2204.00770 (2022) - [i43]Federico Landini, Alicia Lozano-Diez, Mireia Díez, Lukás Burget:
From Simulated Mixtures to Simulated Conversations as Training Data for End-to-End Neural Diarization. CoRR abs/2204.00890 (2022) - [i42]Themos Stafylakis, Ladislav Mosner, Sofoklis Kakouros, Oldrich Plchot, Lukás Burget, Jan Cernocký:
Extracting speaker and emotion information from self-supervised speech models via channel-wise correlations. CoRR abs/2210.09513 (2022) - [i41]Anna Silnova, Niko Brümmer, Albert Swart, Lukás Burget:
Toroidal Probabilistic Spherical Discriminant Analysis. CoRR abs/2210.15441 (2022) - [i40]Junyi Peng, Themos Stafylakis, Rongzhi Gu, Oldrich Plchot, Ladislav Mosner, Lukás Burget, Jan Cernocký:
Parameter-efficient transfer learning of pre-trained Transformer models for speaker verification using adapters. CoRR abs/2210.16032 (2022) - [i39]Sofoklis Kakouros, Themos Stafylakis, Ladislav Mosner, Lukás Burget:
Speech-based emotion recognition with self-supervised models using attentive channel-wise correlations and label smoothing. CoRR abs/2211.01756 (2022) - [i38]Federico Landini, Mireia Díez, Alicia Lozano-Diez, Lukás Burget:
Multi-Speaker and Wide-Band Simulated Conversations as Training Data for End-to-End Neural Diarization. CoRR abs/2211.06750 (2022) - 2021
- [c180]Bolaji Yusuf, Lucas Ondel, Lukás Burget, Jan Cernocký, Murat Saraçlar:
A Hierarchical Subspace Model for Language-Attuned Acoustic Unit Discovery. ICASSP 2021: 3710-3714 - [c179]Federico Landini, Ondrej Glembek, Pavel Matejka, Johan Rohdin, Lukás Burget, Mireia Díez, Anna Silnova:
Analysis of the but Diarization System for Voxconverse Challenge. ICASSP 2021: 5819-5823 - [c178]Murali Karthick Baskar, Lukás Burget, Shinji Watanabe, Ramón Fernandez Astudillo, Jan Honza Cernocký:
Eat: Enhanced ASR-TTS for Self-Supervised Speech Recognition. ICASSP 2021: 6753-6757 - [c177]Hari Krishna Vydana, Martin Karafiát, Katerina Zmolíková, Lukás Burget, Honza Cernocký:
Jointly Trained Transformers Models for Spoken Language Translation. ICASSP 2021: 7513-7517 - [c176]Themos Stafylakis, Johan Rohdin, Lukás Burget:
Speaker Embeddings by Modeling Channel-Wise Correlations. Interspeech 2021: 501-505 - [c175]Junyi Peng, Xiaoyang Qu, Jianzong Wang, Rongzhi Gu, Jing Xiao, Lukás Burget, Jan Cernocký:
ICSpk: Interpretable Complex Speaker Embedding Extractor from Raw Waveform. Interspeech 2021: 511-515 - [c174]Karel Benes, Lukás Burget:
Text Augmentation for Language Models in High Error Recognition Scenario. Interspeech 2021: 1872-1876 - [c173]Junyi Peng, Xiaoyang Qu, Rongzhi Gu, Jianzong Wang, Jing Xiao, Lukás Burget, Jan Cernocký:
Effective Phase Encoding for End-To-End Speaker Verification. Interspeech 2021: 2366-2370 - [c172]Ekaterina Egorova, Hari Krishna Vydana, Lukás Burget, Jan Cernocký:
Out-of-Vocabulary Words Detection with Attention and CTC Alignments in an End-to-End ASR System. Interspeech 2021: 2901-2905 - [c171]Hari Krishna Vydana, Martin Karafiát, Lukás Burget, Jan Cernocký:
The IWSLT 2021 BUT Speech Translation Systems. IWSLT 2021: 75-83 - [c170]Katerina Zmolíková, Marc Delcroix, Lukás Burget, Tomohiro Nakatani, Jan Honza Cernocký:
Integration of Variational Autoencoder and Spatial Clustering for Adaptive Multi-Channel Neural Speech Separation. SLT 2021: 889-896 - [e1]Hynek Hermansky, Honza Cernocký, Lukás Burget, Lori Lamel, Odette Scharenborg, Petr Motlícek:
22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30 - September 3, 2021. ISCA 2021 [contents] - [i37]Themos Stafylakis, Johan Rohdin, Lukás Burget:
Speaker embeddings by modeling channel-wise correlations. CoRR abs/2104.02571 (2021) - [i36]Murali Karthick Baskar, Lukás Burget, Shinji Watanabe, Ramón Fernandez Astudillo, Jan Honza Cernocký:
EAT: Enhanced ASR-TTS for Self-supervised Speech Recognition. CoRR abs/2104.07474 (2021) - [i35]Hari Krishna Vydana, Martin Karafiát, Lukás Burget, Honza Cernocký:
The IWSLT 2021 BUT Speech Translation Systems. CoRR abs/2107.06155 (2021) - [i34]Martin Kocour, Katerina Zmolíková, Lucas Ondel, Jan Svec, Marc Delcroix, Tsubasa Ochiai, Lukás Burget, Jan Cernocký:
Revisiting joint decoding based multi-talker speech recognition with DNN acoustic model. CoRR abs/2111.00009 (2021) - [i33]Ladislav Mosner, Oldrich Plchot, Lukás Burget, Jan Cernocký:
MultiSV: Dataset for Far-Field Multi-Channel Speaker Verification. CoRR abs/2111.06458 (2021) - [i32]Lucas Ondel, Léa-Marie Lam-Yee-Mui, Martin Kocour, Caio Filippo Corro, Lukás Burget:
GPU-Accelerated Forward-Backward algorithm with Application to Lattice-Free MMI. CoRR abs/2112.00709 (2021) - 2020
- [j15]Johan Rohdin, Anna Silnova, Mireia Díez, Oldrich Plchot, Pavel Matejka, Lukás Burget, Ondrej Glembek:
End-to-end DNN based text-independent speaker recognition for long and short utterances. Comput. Speech Lang. 59: 22-35 (2020) - [j14]Pavel Matejka, Oldrich Plchot, Ondrej Glembek, Lukás Burget, Johan Rohdin, Hossein Zeinali, Ladislav Mosner, Anna Silnova, Ondrej Novotný, Mireia Díez, Jan Honza Cernocký:
13 years of speaker recognition research at BUT, with longitudinal analysis of NIST SRE. Comput. Speech Lang. 63: 101035 (2020) - [j13]Mireia Díez, Lukás Burget, Federico Landini, Jan Cernocký:
Analysis of Speaker Diarization Based on Bayesian HMM With Eigenvoice Priors. IEEE ACM Trans. Audio Speech Lang. Process. 28: 355-368 (2020) - [j12]Santosh Kesiraju, Oldrich Plchot, Lukás Burget, Suryakanth V. Gangashetty:
Learning Document Embeddings Along With Their Uncertainties. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2319-2332 (2020) - [c169]Mireia Díez, Lukás Burget, Federico Landini, Shuai Wang, Honza Cernocký:
Optimizing Bayesian Hmm Based X-Vector Clustering for the Second Dihard Speech Diarization Challenge. ICASSP 2020: 6519-6523 - [c168]Federico Landini, Shuai Wang, Mireia Díez, Lukás Burget, Pavel Matejka, Katerina Zmolíková, Ladislav Mosner, Anna Silnova, Oldrich Plchot, Ondrej Novotný, Hossein Zeinali, Johan Rohdin:
But System for the Second Dihard Speech Diarization Challenge. ICASSP 2020: 6529-6533 - [c167]Shuai Wang, Johan Rohdin, Oldrich Plchot, Lukás Burget, Kai Yu, Jan Cernocký:
Investigation of Specaugment for Deep Speaker Embedding Learning. ICASSP 2020: 7139-7143 - [c166]Hossein Zeinali, Kong Aik Lee, Jahangir Alam, Lukás Burget:
SdSV Challenge 2020: Large-Scale Evaluation of Short-Duration Speaker Verification. INTERSPEECH 2020: 731-735 - [c165]Alicia Lozano-Diez, Anna Silnova, Bhargav Pulugundla, Johan Rohdin, Karel Veselý, Lukás Burget, Oldrich Plchot, Ondrej Glembek, Ondrej Novotný, Pavel Matejka:
BUT Text-Dependent Speaker Verification System for SdSV Challenge 2020. INTERSPEECH 2020: 761-765 - [c164]Anna Silnova, Niko Brummer, Johan Rohdin, Themos Stafylakis, Lukás Burget:
Probabilistic Embeddings for Speaker Diarization. Odyssey 2020: 24-31 - [c163]Jahangir Alam, Gilles Boulianne, Lukás Burget, Mohamed Dahmane, Mireia Díez Sánchez, Alicia Lozano-Diez, Ondrej Glembek, Pierre-Luc St-Charles, Marc Lalonde, Pavel Matejka, Petr Mizera, João Monteiro, Ladislav Mosner, Cedric Noiseux, Ondrej Novotný, Oldrich Plchot, Johan Rohdin, Anna Silnova, Josef Slavícek, Themos Stafylakis, Shuai Wang, Hossein Zeinali:
Analysis of ABC Submission to NIST SRE 2019 CMN and VAST Challenge. Odyssey 2020: 289-295 - [i31]Anna Silnova, Niko Brümmer, Johan Rohdin, Themos Stafylakis, Lukás Burget:
Probabilistic embeddings for speaker diarization. CoRR abs/2004.04096 (2020) - [i30]Hari Krishna Vydana, Martin Karafiát, Katerina Zmolíková, Lukás Burget, Honza Cernocký:
Jointly Trained Transformers models for Spoken Language Translation. CoRR abs/2004.12111 (2020) - [i29]Hari Krishna Vydana, Lukás Burget, Jan Cernocký:
A Technical Report: BUT Speech Translation Systems. CoRR abs/2010.11593 (2020) - [i28]Federico Landini, Ondrej Glembek, Pavel Matejka, Johan Rohdin, Lukás Burget, Mireia Díez, Anna Silnova:
Analysis of the BUT Diarization System for VoxConverse Challenge. CoRR abs/2010.11718 (2020) - [i27]Bolaji Yusuf, Lucas Ondel, Lukás Burget, Jan Cernocký, Murat Saraclar:
A Hierarchical Subspace Model for Language-Attuned Acoustic Unit Discovery. CoRR abs/2011.03115 (2020) - [i26]Karel Benes, Lukás Burget:
Text Augmentation for Language Models in High Error Recognition Scenario. CoRR abs/2011.06056 (2020) - [i25]Federico Landini, Ján Profant, Mireia Díez, Lukás Burget:
Bayesian HMM clustering of x-vector sequences (VBx) in speaker diarization: theory, implementation and analysis on standard tasks. CoRR abs/2012.14952 (2020)
2010 – 2019
- 2019
- [j11]Ondrej Novotný, Oldrich Plchot, Ondrej Glembek, Jan Cernocký, Lukás Burget:
Analysis of DNN Speech Signal Enhancement for Robust Speaker Recognition. Comput. Speech Lang. 58: 403-421 (2019) - [j10]Katerina Zmolíková, Marc Delcroix, Keisuke Kinoshita, Tsubasa Ochiai, Tomohiro Nakatani, Lukás Burget, Jan Cernocký:
SpeakerBeam: Speaker Aware Neural Network for Target Speaker Extraction in Speech Mixtures. IEEE J. Sel. Top. Signal Process. 13(4): 800-814 (2019) - [c162]Hossein Zeinali, Lukás Burget, Jan Honza Cernocký:
A Multi Purpose and Large Scale Speech Corpus in Persian and English for Speaker and Speech Recognition: The Deepmine Database. ASRU 2019: 397-402 - [c161]Ladislav Mosner, Oldrich Plchot, Johan Rohdin, Lukás Burget, Jan Cernocký:
Speaker Verification with Application-Aware Beamforming. ASRU 2019: 411-418 - [c160]Murali Karthick Baskar, Lukás Burget, Shinji Watanabe, Martin Karafiát, Takaaki Hori, Jan Honza Cernocký:
Promising Accurate Prefix Boosting for Sequence-to-sequence ASR. ICASSP 2019: 5646-5650 - [c159]Johan Rohdin, Themos Stafylakis, Anna Silnova, Hossein Zeinali, Lukás Burget, Oldrich Plchot:
Speaker Verification Using End-to-end Adversarial Language Adaptation. ICASSP 2019: 6006-6010 - [c158]Ondrej Novotný, Oldrich Plchot, Ondrej Glembek, Lukás Burget, Pavel Matejka:
Discriminatively Re-trained I-vector Extractor for Speaker Recognition. ICASSP 2019: 6031-6035 - [c157]Hossein Zeinali, Lukás Burget, Johan Rohdin, Themos Stafylakis, Jan Honza Cernocký:
How to Improve Your Speaker Embeddings Extractor in Generic Toolkits. ICASSP 2019: 6141-6145 - [c156]Lucas Ondel, Hari Krishna Vydana, Lukás Burget, Jan Cernocký:
Bayesian Subspace Hidden Markov Model for Acoustic Unit Discovery. INTERSPEECH 2019: 261-265 - [c155]Mireia Díez, Lukás Burget, Shuai Wang, Johan Rohdin, Jan Cernocký:
Bayesian HMM Based x-Vector Clustering for Speaker Diarization. INTERSPEECH 2019: 346-350 - [c154]Hossein Zeinali, Themos Stafylakis, Georgia Athanasopoulou, Johan Rohdin, Ioannis Gkinis, Lukás Burget, Jan Cernocký:
Detecting Spoofing Attacks Using VGG and SincNet: BUT-Omilia Submission to ASVspoof 2019 Challenge. INTERSPEECH 2019: 1073-1077 - [c153]Shuai Wang, Johan Rohdin, Lukás Burget, Oldrich Plchot, Yanmin Qian, Kai Yu, Jan Cernocký:
On the Usage of Phonetic Information for Text-Independent Speaker Embedding Extraction. INTERSPEECH 2019: 1148-1152 - [c152]Pavel Matejka, Oldrich Plchot, Hossein Zeinali, Ladislav Mosner, Anna Silnova, Lukás Burget, Ondrej Novotný, Ondrej Glembek:
Analysis of BUT Submission in Far-Field Scenarios of VOiCES 2019 Challenge. INTERSPEECH 2019: 2448-2452 - [c151]Themos Stafylakis, Johan Rohdin, Oldrich Plchot, Petr Mizera, Lukás Burget:
Self-Supervised Speaker Embeddings. INTERSPEECH 2019: 2863-2867 - [c150]Murali Karthick Baskar, Shinji Watanabe, Ramón Fernandez Astudillo, Takaaki Hori, Lukás Burget, Jan Cernocký:
Semi-Supervised Sequence-to-Sequence ASR Using Unpaired Speech and Text. INTERSPEECH 2019: 3790-3794 - [c149]Pavel Matejka, Oldrich Plchot, Hossein Zeinali, Ladislav Mosner, Anna Silnova, Lukás Burget, Ondrej Novotný, Ondrej Glembek:
Analysis of BUT Submission in Far-Field Scenarios of VOiCES 2019 Challenge. INTERSPEECH 2019 - [c148]Ondrej Novotný, Oldrich Plchot, Ondrej Glembek, Lukás Burget:
Factorization of Discriminatively Trained i-Vector Extractor for Speaker Recognition. INTERSPEECH 2019: 4330-4334 - [c147]Martin Fajcik, Pavel Smrz, Lukás Burget:
BUT-FIT at SemEval-2019 Task 7: Determining the Rumour Stance with Pre-Trained Deep Bidirectional Transformers. SemEval@NAACL-HLT 2019: 1097-1104 - [i24]Martin Fajcik, Lukás Burget, Pavel Smrz:
BUT-FIT at SemEval-2019 Task 7: Determining the Rumour Stance with Pre-Trained Deep Bidirectional Transformers. CoRR abs/1902.10126 (2019) - [i23]Themos Stafylakis, Johan Rohdin, Oldrich Plchot, Petr Mizera, Lukás Burget:
Self-supervised speaker embeddings. CoRR abs/1904.03486 (2019) - [i22]Lucas Ondel, Hari Krishna Vydana, Lukás Burget, Jan Cernocký:
Bayesian Subspace Hidden Markov Model for Acoustic Unit Discovery. CoRR abs/1904.03876 (2019) - [i21]Ondrej Novotný, Oldrich Plchot, Ondrej Glembek, Lukás Burget:
Factorization of Discriminatively Trained i-vector Extractor for Speaker Recognition. CoRR abs/1904.04235 (2019) - [i20]Murali Karthick Baskar, Shinji Watanabe, Ramón Fernandez Astudillo, Takaaki Hori, Lukás Burget, Jan Cernocký:
Self-supervised Sequence-to-sequence ASR using Unpaired Speech and Text. CoRR abs/1905.01152 (2019) - [i19]