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ORCIDJan Cernocký
Honza Cernocký – Jan Honza Cernocký
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- affiliation: Brno University of Technology
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Journal Articles
- 2026
[j18]Alexander Polok
, Dominik Klement, Martin Kocour, Jiangyu Han, Federico Landini, Bolaji Yusuf, Matthew Wiesner, Sanjeev Khudanpur, Jan Cernocký, Lukás Burget:
DiCoW: Diarization-conditioned Whisper for target speaker automatic speech recognition. Comput. Speech Lang. 95: 101841 (2026)- 2023
- [j17]Katerina Zmolíková, Marc Delcroix, Tsubasa Ochiai, Keisuke Kinoshita, Jan Cernocký, Dong Yu:
Neural Target Speech Extraction: An overview. IEEE Signal Process. Mag. 40(3): 8-29 (2023) - [j16]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) - [j15]Bolaji Yusuf, Jan Cernocký, Murat Saraçlar:
End-to-End Open Vocabulary Keyword Search With Multilingual Neural Representations. IEEE ACM Trans. Audio Speech Lang. Process. 31: 3070-3080 (2023) - 2022
- [j14]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) - 2020
- [j13]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) - [j12]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) - 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) - [j9]Igor Szöke, Miroslav Skácel, Ladislav Mosner, Jakub Paliesek, Jan Honza Cernocký:
Building and Evaluation of a Real Room Impulse Response Dataset. IEEE J. Sel. Top. Signal Process. 13(4): 863-876 (2019) - 2017
- [j8]Hossein Zeinali, Hossein Sameti, Lukás Burget, Jan Cernocký:
Text-dependent speaker verification based on i-vectors, Neural Networks and Hidden Markov Models. Comput. Speech Lang. 46: 53-71 (2017) - [j7]Radek Fér, Pavel Matejka, Frantisek Grézl, Oldrich Plchot, Karel Veselý, Jan Honza Cernocký:
Multilingually trained bottleneck features in spoken language recognition. Comput. Speech Lang. 46: 252-267 (2017) - 2012
- [j6]Javier Tejedor, Michal Fapso, Igor Szöke, Jan Cernocký, Frantisek Grézl:
Comparison of methods for language-dependent and language-independent query-by-example spoken term detection. ACM Trans. Inf. Syst. 30(3): 18:1-18:34 (2012) - 2011
- [j5]Marcel Kockmann, Lukás Burget, Jan Cernocký:
Application of speaker- and language identification state-of-the-art techniques for emotion recognition. Speech Commun. 53(9-10): 1172-1185 (2011) - 2007
- [j4]Lukás Burget, Pavel Matejka, Petr Schwarz, Ondrej Glembek, Jan Cernocký:
Analysis of Feature Extraction and Channel Compensation in a GMM Speaker Recognition System. IEEE Trans. Speech Audio Process. 15(7): 1979-1986 (2007) - [j3]Niko Brümmer, Lukás Burget, Jan Cernocký, Ondrej Glembek, Frantisek Grézl, Martin Karafiát, David A. van Leeuwen, Pavel Matejka, Petr Schwarz, Albert Strasheim:
Fusion of Heterogeneous Speaker Recognition Systems in the STBU Submission for the NIST Speaker Recognition Evaluation 2006. IEEE Trans. Speech Audio Process. 15(7): 2072-2084 (2007) - 2000
- [j2]Geneviève Baudoin, Jan Cernocký, Philippe Gournay, Gérard Chollet:
Codage de la parole a bas et tres bas debits. Ann. des Télécommunications 55(9-10): 462-482 (2000) - [j1]Dijana Petrovska-Delacrétaz, Jan Cernocký, Jean Hennebert, Gérard Chollet:
Segmental Approaches for Automatic Speaker Verification. Digit. Signal Process. 10(1-3): 198-212 (2000)
Conference and Workshop Papers
- 2025
- [c173]Junyi Peng, Takanori Ashihara, Marc Delcroix, Tsubasa Ochiai, Oldrich Plchot, Shoko Araki, Jan Cernocký:
TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models. ICASSP 2025: 1-5 - [c172]Junyi Peng, Ladislav Mosner, Lin Zhang, Oldrich Plchot, Themos Stafylakis, Lukás Burget, Jan Cernocký:
CA-MHFA: A Context-Aware Multi-Head Factorized Attentive Pooling for SSL-Based Speaker Verification. ICASSP 2025: 1-5 - [c171]Alexander Polok, Dominik Klement, Matthew Wiesner, Sanjeev Khudanpur, Jan Cernocký, Lukás Burget:
Target Speaker ASR with Whisper. ICASSP 2025: 1-5 - 2024
- [c170]Junyi Peng, Marc Delcroix, Tsubasa Ochiai, Oldrich Plchot, Takanori Ashihara, Shoko Araki, Jan Cernocký:
Probing Self-Supervised Learning Models With Target Speech Extraction. ICASSP Workshops 2024: 535-539 - [c169]Junyi Peng, Marc Delcroix, Tsubasa Ochiai, Oldrich Plchot, Shoko Araki, Jan Cernocký:
Target Speech Extraction with Pre-Trained Self-Supervised Learning Models. ICASSP 2024: 10421-10425 - [c168]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 - [c167]Ladislav Mosner, Romain Serizel, Lukás Burget, Oldrich Plchot, Emmanuel Vincent, Junyi Peng, Jan Cernocký:
Multi-Channel Extension of Pre-trained Models for Speaker Verification. INTERSPEECH 2024 - [c166]Jan Pesán, Vojtech Jurík, Martin Karafiát, Jan Cernocký:
BESST Dataset: A Multimodal Resource for Speech-based Stress Detection and Analysis. INTERSPEECH 2024 - [c165]Bolaji Yusuf, Jan Honza Cernocký, Murat Saraçlar:
Pretraining End-to-End Keyword Search with Automatically Discovered Acoustic Units. INTERSPEECH 2024 - 2023
- [c164]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 - [c163]Ladislav Mosner, Oldrich Plchot, Junyi Peng, Lukás Burget, Jan Cernocký:
Multi-Channel Speech Separation with Cross-Attention and Beamforming. INTERSPEECH 2023: 1693-1697 - [c162]Junyi Peng, Oldrich Plchot, Themos Stafylakis, Ladislav Mosner, Lukás Burget, Jan Cernocký:
Improving Speaker Verification with Self-Pretrained Transformer Models. INTERSPEECH 2023: 5361-5365 - [c161]Santosh Kesiraju, Karel Benes, Maksim Tikhonov, Jan Cernocký:
BUT Systems for IWSLT 2023 Marathi - Hindi Low Resource Speech Translation Task. IWSLT@ACL 2023: 227-234 - 2022
- [c160]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 - [c159]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 - [c158]Ladislav Mosner, Oldrich Plchot, Lukás Burget, Jan Honza Cernocký:
Multisv: Dataset for Far-Field Multi-Channel Speaker Verification. ICASSP 2022: 7977-7981 - [c157]Ladislav Mosner, Oldrich Plchot, Lukás Burget, Jan Honza Cernocký:
Multi-Channel Speaker Verification with Conv-Tasnet Based Beamformer. ICASSP 2022: 7982-7986 - [c156]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 - [c155]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 - [c154]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 - [c153]Junyi Peng, Rongzhi Gu, Ladislav Mosner, Oldrich Plchot, Lukás Burget, Jan Cernocký:
Learnable Sparse Filterbank for Speaker Verification. INTERSPEECH 2022: 5110-5114 - [c152]Jan Svec, Katerina Zmolíková, Martin Kocour, Marc Delcroix, Tsubasa Ochiai, Ladislav Mosner, Jan Honza Cernocký:
Analysis of Impact of Emotions on Target Speech Extraction and Speech Separation. IWAENC 2022: 1-5 - [c151]Junyi Peng, Chunlei Zhang, Jan Honza Cernocký, Dong Yu:
Progressive Contrastive Learning for Self-Supervised Text-Independent Speaker Verification. Odyssey 2022: 17-24 - [c150]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 - [c149]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 - 2021
- [c148]Martin Kocour, Guillermo Cámbara, Jordi Luque, David Bonet, Mireia Farrús, Martin Karafiát, Karel Veselý, Jan Cernocký:
BCN2BRNO: ASR System Fusion for Albayzin 2020 Speech to Text Challenge. IberSPEECH 2021 - [c147]Bolaji Yusuf, Lucas Ondel, Lukás Burget, Jan Cernocký, Murat Saraçlar:
A Hierarchical Subspace Model for Language-Attuned Acoustic Unit Discovery. ICASSP 2021: 3710-3714 - [c146]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 - [c145]Martin Karafiát, Karel Veselý, Jan Honza Cernocký, Ján Profant, Jirí Nytra, Miroslav Hlavácek, Tomás Pavlícek:
Analysis of X-Vectors for Low-Resource Speech Recognition. ICASSP 2021: 6998-7002 - [c144]Hari Krishna Vydana, Martin Karafiát, Katerina Zmolíková, Lukás Burget, Honza Cernocký:
Jointly Trained Transformers Models for Spoken Language Translation. ICASSP 2021: 7513-7517 - [c143]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 - [c142]Katerina Zmolíková, Marc Delcroix, Desh Raj, Shinji Watanabe, Jan Cernocký:
Auxiliary Loss Function for Target Speech Extraction and Recognition with Weak Supervision Based on Speaker Characteristics. Interspeech 2021: 1464-1468 - [c141]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 - [c140]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 - [c139]Igor Szöke, Santosh Kesiraju, Ondrej Novotný, Martin Kocour, Karel Veselý, Jan Cernocký:
Detecting English Speech in the Air Traffic Control Voice Communication. Interspeech 2021: 3286-3290 - [c138]Martin Kocour, Karel Veselý, Alexander Blatt, Juan Zuluaga-Gomez, Igor Szöke, Jan Cernocký, Dietrich Klakow, Petr Motlícek:
Boosting of Contextual Information in ASR for Air-Traffic Call-Sign Recognition. Interspeech 2021: 3301-3305 - [c137]Hari Krishna Vydana, Martin Karafiát, Lukás Burget, Jan Cernocký:
The IWSLT 2021 BUT Speech Translation Systems. IWSLT 2021: 75-83 - [c136]Leo Wanner, Matthias Klusch, Athanasios Mavropoulos, Emmanuel Jamin, Víctor Marín-Puchades, Gerard Casamayor, Jan Cernocký, Steffi Davey, Mónica Domínguez, Ekaterina Egorova, Jens Grivolla, Gloria Elena Jaramillo Rojas, Anastasios Karakostas, Dimos Ntioudis, Pavel Pecina, Oleksandr Sobko, Stefanos Vrochidis, Lena Wertmann:
Towards a Versatile Intelligent Conversational Agent as Personal Assistant for Migrants. PAAMS 2021: 316-327 - [c135]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 - 2020
- [c134]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 - [c133]Shuai Wang, Johan Rohdin, Oldrich Plchot, Lukás Burget, Kai Yu, Jan Cernocký:
Investigation of Specaugment for Deep Speaker Embedding Learning. ICASSP 2020: 7139-7143 - [c132]Ladislav Mosner, Oldrich Plchot, Johan Rohdin, Jan Cernocký:
Utilizing VOiCES Dataset for Multichannel Speaker Verification with Beamforming. Odyssey 2020: 187-193 - 2019
- [c131]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 - [c130]Ladislav Mosner, Oldrich Plchot, Johan Rohdin, Lukás Burget, Jan Cernocký:
Speaker Verification with Application-Aware Beamforming. ASRU 2019: 411-418 - [c129]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 - [c128]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 - [c127]Lucas Ondel, Hari Krishna Vydana, Lukás Burget, Jan Cernocký:
Bayesian Subspace Hidden Markov Model for Acoustic Unit Discovery. INTERSPEECH 2019: 261-265 - [c126]Mireia Díez, Lukás Burget, Shuai Wang, Johan Rohdin, Jan Cernocký:
Bayesian HMM Based x-Vector Clustering for Speaker Diarization. INTERSPEECH 2019: 346-350 - [c125]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 - [c124]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 - [c123]Martin Karafiát, Murali Karthick Baskar, Shinji Watanabe, Takaaki Hori, Matthew Wiesner, Jan Cernocký:
Analysis of Multilingual Sequence-to-Sequence Speech Recognition Systems. INTERSPEECH 2019: 2220-2224 - [c122]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 - 2018
- [c121]Hossein Zeinali, Lukás Burget, Jan Honza Cernocký:
Convolutional neural networks and x-vector embedding for DCASE2018 Acoustic Scene Classification challenge. DCASE 2018: 202-206 - [c120]Ladislav Mosner, Pavel Matejka, Ondrej Novotný, Jan Honza Cernocký:
Dereverberation and Beamforming in Far-Field Speaker Recognition. ICASSP 2018: 5254-5258 - [c119]Martin Karafiát, Murali Karthick Baskar, Karel Veselý, Frantisek Grézl, Lukás Burget, Jan Cernocký:
Analysis of Multilingual Blstm Acoustic Model on Low and High Resource Languages. ICASSP 2018: 5789-5793 - [c118]Katerina Zmolíková, Marc Delcroix, Keisuke Kinoshita, Takuya Higuchi, Tomohiro Nakatani, Jan Cernocký:
Optimization of Speaker-Aware Multichannel Speech Extraction with ASR Criterion. ICASSP 2018: 6702-6706 - [c117]Ladislav Mosner, Oldrich Plchot, Pavel Matejka, Ondrej Novotný, Jan Cernocký:
Dereverberation and Beamforming in Robust Far-Field Speaker Recognition. INTERSPEECH 2018: 1334-1338 - [c116]Martin Karafiát, Murali Karthick Baskar, Igor Szöke, Vladimír Malenovský, Karel Veselý, Frantisek Grézl, Lukás Burget, Jan Cernocký:
BUT OpenSAT 2017 Speech Recognition System. INTERSPEECH 2018: 2638-2642 - [c115]Karel Veselý, Carlos Segura, Igor Szöke, Jordi Luque, Jan Cernocký:
Lightly Supervised vs. Semi-supervised Training of Acoustic Model on Luxembourgish for Low-resource Automatic Speech Recognition. INTERSPEECH 2018: 2883-2887 - [c114]Bhargav Pulugundla, Murali Karthick Baskar, Santosh Kesiraju, Ekaterina Egorova, Martin Karafiát, Lukás Burget, Jan Cernocký:
BUT System for Low Resource Indian Language ASR. INTERSPEECH 2018: 3182-3186 - [c113]Anna Silnova, Pavel Matejka, Ondrej Glembek, Oldrich Plchot, Ondrej Novotný, Frantisek Grézl, Petr Schwarz, Lukás Burget, Jan Cernocký:
BUT/Phonexia Bottleneck Feature Extractor. Odyssey 2018: 283-287 - [c112]Hossein Zeinali, Lukás Burget, Hossein Sameti, Honza Cernocký:
Spoken Pass-Phrase Verification in the i-vector Space. Odyssey 2018: 372-377 - 2017
- [c111]Murali Karthick Baskar, Martin Karafiát, Lukás Burget, Karel Veselý, Frantisek Grézl, Jan Cernocký:
Residual memory networks: Feed-forward approach to learn long-term temporal dependencies. ICASSP 2017: 4810-4814 - [c110]Santosh Kesiraju, Raghavendra Pappagari, Lucas Ondel, Lukás Burget, Najim Dehak, Sanjeev Khudanpur, Jan Cernocký, Suryakanth V. Gangashetty:
Topic identification of spoken documents using unsupervised acoustic unit discovery. ICASSP 2017: 5745-5749 - [c109]Lucas Ondel, Lukás Burget, Jan Cernocký, Santosh Kesiraju:
Bayesian phonotactic Language Model for Acoustic Unit Discovery. ICASSP 2017: 5750-5754 - [c108]Martin Karafiát, Murali Karthick Baskar, Pavel Matejka, Karel Veselý, Frantisek Grézl, Lukás Burget, Jan Cernocký:
2016 BUT Babel System: Multilingual BLSTM Acoustic Model with i-Vector Based Adaptation. INTERSPEECH 2017: 719-723 - [c107]Pavel Matejka, Ondrej Novotný, Oldrich Plchot, Lukás Burget, Mireia Díez Sánchez, Jan Cernocký:
Analysis of Score Normalization in Multilingual Speaker Recognition. INTERSPEECH 2017: 1567-1571 - [c106]Anna Silnova, Lukás Burget, Jan Cernocký:
Alternative Approaches to Neural Network Based Speaker Verification. INTERSPEECH 2017: 1572-1575 - [c105]Karel Veselý, Lukás Burget, Jan Cernocký:
Semi-Supervised DNN Training with Word Selection for ASR. INTERSPEECH 2017: 3687-3691 - 2016
- [c104]Pavel Matejka, Ondrej Glembek, Ondrej Novotný, Oldrich Plchot, Frantisek Grézl, Lukás Burget, Jan Cernocký:
Analysis of DNN approaches to speaker identification. ICASSP 2016: 5100-5104 - [c103]Karel Veselý, Shinji Watanabe, Katerina Zmolíková, Martin Karafiát, Lukás Burget, Jan Honza Cernocký:
Sequence summarizing neural network for speaker adaptation. ICASSP 2016: 5315-5319 - [c102]Martin Karafiát, Lukás Burget, Frantisek Grézl, Karel Veselý, Jan Honza Cernocký:
Multilingual region-dependent transforms. ICASSP 2016: 5430-5434 - [c101]Hossein Zeinali, Hossein Sameti, Lukás Burget, Jan Cernocký, Nooshin Maghsoodi, Pavel Matejka:
i-Vector/HMM Based Text-Dependent Speaker Verification System for RedDots Challenge. INTERSPEECH 2016: 440-444 - [c100]Santosh Kesiraju, Lukás Burget, Igor Szöke, Jan Cernocký:
Learning Document Representations Using Subspace Multinomial Model. INTERSPEECH 2016: 700-704 - [c99]Ondrej Novotný, Pavel Matejka, Oldrich Plchot, Ondrej Glembek, Lukás Burget, Jan Cernocký:
Analysis of Speaker Recognition Systems in Realistic Scenarios of the SITW 2016 Challenge. INTERSPEECH 2016: 828-832 - [c98]Katerina Zmolíková, Martin Karafiát, Karel Veselý, Marc Delcroix, Shinji Watanabe, Lukás Burget, Jan Cernocký:
Data Selection by Sequence Summarizing Neural Network in Mismatch Condition Training. INTERSPEECH 2016: 2354-2358 - [c97]Jan Pesán, Lukás Burget, Jan Cernocký:
Sequence Summarizing Neural Networks for Spoken Language Recognition. INTERSPEECH 2016: 3285-3288 - [c96]Ondrej Novotný, Pavel Matejka, Ondrej Glembek, Oldrich Plchot, Frantisek Grézl, Lukás Burget, Jan Honza Cernocký:
Analysis of the DNN-based SRE systems in multi-language conditions. SLT 2016: 199-204 - [c95]Martin Karafiát, Murali Karthick Baskar, Pavel Matejka, Karel Veselý, Frantisek Grézl, Jan Cernocký:
Multilingual BLSTM and speaker-specific vector adaptation in 2016 but babel system. SLT 2016: 637-643 - [c94]Lucas Ondel, Lukás Burget, Jan Cernocký:
Variational Inference for Acoustic Unit Discovery. SLTU 2016: 80-86 - [c93]Anna Popková, Filip Povolný, Pavel Matejka, Ondrej Glembek, Frantisek Grézl, Jan Honza Cernocký:
Investigation of Bottle-Neck Features for Emotion Recognition. TSD 2016: 426-434 - 2015
- [c92]Roger Hsiao, Jeff Z. Ma, William Hartmann, Martin Karafiát, Frantisek Grézl, Lukás Burget, Igor Szöke, Jan Cernocký, Shinji Watanabe, Zhuo Chen, Sri Harish Reddy Mallidi, Hynek Hermansky, Stavros Tsakalidis, Richard M. Schwartz:
Robust speech recognition in unknown reverberant and noisy conditions. ASRU 2015: 533-538 - [c91]Igor Szöke, Miroslav Skácel, Lukás Burget, Jan Cernocký:
Copingwith channel mismatch in Query-by-Example - But QUESST 2014. ICASSP 2015: 5838-5842 - [c90]Radek Fér, Pavel Matejka, Frantisek Grézl, Oldrich Plchot, Jan Cernocký:
Multilingual bottleneck features for language recognition. INTERSPEECH 2015: 389-393 - [c89]Martin Karafiát, Frantisek Grézl, Lukás Burget, Igor Szöke, Jan Cernocký:
Three ways to adapt a CTS recognizer to unseen reverberated speech in BUT system for the ASpIRE challenge. INTERSPEECH 2015: 2454-2458 - 2014
- [c88]Martin Karafiát, Frantisek Grézl, Mirko Hannemann, Jan Cernocký:
But neural network features for spontaneous Vietnamese in BABEL. ICASSP 2014: 5622-5626 - [c87]Igor Szöke, Lukás Burget, Frantisek Grézl, Jan Cernocký, Lucas Ondel:
Calibration and fusion of query-by-example systems - But SWS 2013. ICASSP 2014: 7849-7853 - [c86]Martin Karafiát, Frantisek Grézl, Karel Veselý, Mirko Hannemann, Igor Szöke, Jan Cernocký:
BUT 2014 Babel system: analysis of adaptation in NN based systems. INTERSPEECH 2014: 3002-3006 - [c85]Martin Karafiát, Karel Veselý, Igor Szöke, Lukás Burget, Frantisek Grézl, Mirko Hannemann, Jan Cernocký:
But ASR system for BABEL Surprise evaluation 2014. SLT 2014: 501-506 - 2013
- [c84]Ekaterina Egorova, Karel Veselý, Martin Karafiát, Milos Janda, Jan Cernocký:
Manual and semi-automatic approaches to building a multilingual phoneme set. ICASSP 2013: 7324-7328 - [c83]Mehdi Soufifar, Lukás Burget, Oldrich Plchot, Sandro Cumani, Jan Cernocký:
Regularized subspace n-gram model for phonotactic ivector extraction. INTERSPEECH 2013: 74-78 - [c82]Shakti P. Rath, Daniel Povey, Karel Veselý, Jan Cernocký:
Improved feature processing for deep neural networks. INTERSPEECH 2013: 109-113 - [c81]Shakti P. Rath, Lukás Burget, Martin Karafiát, Ondrej Glembek, Jan Cernocký:
A region-specific feature-space transformation for speaker adaptation and singularity analysis of jacobian matrix. INTERSPEECH 2013: 1228-1232 - [c80]Martin Karafiát, Frantisek Grézl, Mirko Hannemann, Karel Veselý, Jan Cernocký:
BUT BABEL system for spontaneous Cantonese. INTERSPEECH 2013: 2589-2593 - [c79]Tomi Kinnunen, Md. Jahangir Alam, Pavel Matejka, Patrick Kenny, Jan Cernocký, Douglas D. O'Shaughnessy:
Frequency warping and robust speaker verification: a comparison of alternative mel-scale representations. INTERSPEECH 2013: 3122-3126 - 2012
- [c78]Mehdi Soufifar, Sandro Cumani, Lukás Burget, Honza Cernocký:
Discriminative classifiers for phonotactic language recognition with iVectors. ICASSP 2012: 4853-4856 - [c77]Martin Karafiát, Milos Janda, Jan Cernocký, Lukás Burget:
Region dependent linear transforms in multilingual speech recognition. ICASSP 2012: 4885-4888 - [c76]Christopher McCool, Sébastien Marcel, Abdenour Hadid, Matti Pietikäinen, Pavel Matejka, Jan Cernocký, Norman Poh, Josef Kittler, Anthony Larcher, Christophe Lévy, Driss Matrouf, Jean-François Bonastre, Philip A. Tresadern, Timothy F. Cootes:
Bi-Modal Person Recognition on a Mobile Phone: Using Mobile Phone Data. ICME Workshops 2012: 635-640 - [c75]Luis Fernando D'Haro, Ondrej Glembek, Oldrich Plchot, Pavel Matejka, Mehdi Soufifar, Ricardo de Córdoba, Jan Cernocký:
Phonotactic Language Recognition using i-vectors and Phoneme Posteriogram Counts. INTERSPEECH 2012: 42-45 - [c74]Shakti P. Rath, Martin Karafiát, Ondrej Glembek, Jan Cernocký:
A factorized representation of FMLLR transform based on QR-decomposition. INTERSPEECH 2012: 551-554 - [c73]Niko Brümmer, Sandro Cumani, Ondrej Glembek, Martin Karafiát, Pavel Matejka, Jan Pesán, Oldrich Plchot, Mehdi Soufifar, Edward de Villiers, Jan Cernocký:
Description and analysis of the Brno276 system for LRE2011. Odyssey 2012: 216-223 - [c72]Oldrich Plchot, Martin Karafiát, Niko Brümmer, Ondrej Glembek, Pavel Matejka, Edward de Villiers, Jan Cernocký:
Speaker vectors from subspace Gaussian mixture model as complementary features for language identification. Odyssey 2012: 330-333 - [c71]Milos Janda, Martin Karafiát, Jan Cernocký:
Dealing with Numbers in Grapheme-Based Speech Recognition. TSD 2012: 438-445 - 2011
- [c70]Martin Karafiát, Lukás Burget, Pavel Matejka, Ondrej Glembek, Jan Cernocký:
iVector-based discriminative adaptation for automatic speech recognition. ASRU 2011: 152-157 - [c69]Tomás Mikolov, Anoop Deoras, Daniel Povey, Lukás Burget, Jan Cernocký:
Strategies for training large scale neural network language models. ASRU 2011: 196-201 - [c68]Marcel Kockmann, Luciana Ferrer, Lukás Burget, Elizabeth Shriberg, Jan Cernocký:
Recent progress in prosodic speaker verification. ICASSP 2011: 4556-4559 - [c67]Pavel Matejka, Ondrej Glembek, Fabio Castaldo, Md. Jahangir Alam, Oldrich Plchot, Patrick Kenny, Lukás Burget, Jan Cernocký:
Full-covariance UBM and heavy-tailed PLDA in i-vector speaker verification. ICASSP 2011: 4828-4831 - [c66]Tomás Mikolov, Stefan Kombrink, Lukás Burget, Jan Cernocký, Sanjeev Khudanpur:
Extensions of recurrent neural network language model. ICASSP 2011: 5528-5531 - [c65]Petr Tichavský, Honza Cernocký, Ales Procházka:
General chair's message. ICASSP 2011 - [c64]Marcel Kockmann, Luciana Ferrer, Lukás Burget, Jan Cernocký:
iVector Fusion of Prosodic and Cepstral Features for Speaker Verification. INTERSPEECH 2011: 265-268 - [c63]Tomás Mikolov, Anoop Deoras, Stefan Kombrink, Lukás Burget, Jan Cernocký:
Empirical Evaluation and Combination of Advanced Language Modeling Techniques. INTERSPEECH 2011: 605-608 - 2010
- [c62]Marcel Kockmann, Lukás Burget, Jan Cernocký:
Investigations into prosodic syllable contour features for speaker recognition. ICASSP 2010: 4418-4421 - [c61]C. Santhosh Kumar, Haizhou Li, Rong Tong, Pavel Matejka, Lukás Burget, Jan Cernocký:
Tuning phone decoders for language identification. ICASSP 2010: 5010-5013 - [c60]Sébastien Marcel, Chris McCool, Pavel Matejka, Timo Ahonen, Jan Cernocký, Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan, Chi-Ho Chan, Josef Kittler, Norman Poh, Benoit G. B. Fauve, Ondrej Glembek, Oldrich Plchot, Zdenek Jancik, Anthony Larcher, Christophe Lévy, Driss Matrouf, Jean-François Bonastre, Ping-Han Lee, Jui-Yu Hung, Si-Wei Wu, Yi-Ping Hung, Lukás Machlica, John S. D. Mason, Sandra Mau, Conrad Sanderson, David Monzo, Antonio Albiol, Hieu V. Nguyen, Li Bai, Yan Wang, Matti Niskanen, Markus Turtinen, Juan Arturo Nolazco-Flores, L. Paola García-Perera, Roberto Aceves-Lopez, Mauricio Villegas, Roberto Paredes:
On the Results of the First Mobile Biometry (MOBIO) Face and Speaker Verification Evaluation. ICPR Contests 2010: 210-225 - [c59]Tomás Mikolov, Martin Karafiát, Lukás Burget, Jan Cernocký, Sanjeev Khudanpur:
Recurrent neural network based language model. INTERSPEECH 2010: 1045-1048 - [c58]Marcel Kockmann, Lukás Burget, Ondrej Glembek, Luciana Ferrer, Jan Cernocký:
Prosodic speaker verification using subspace multinomial models with intersession compensation. INTERSPEECH 2010: 1061-1064 - [c57]Marcel Kockmann, Lukás Burget, Jan Cernocký:
Brno university of technology system for interspeech 2010 paralinguistic challenge. INTERSPEECH 2010: 2822-2825 - [c56]Zdenek Jancik, Oldrich Plchot, Niko Brümmer, Lukás Burget, Ondrej Glembek, Valiantsina Hubeika, Martin Karafiát, Pavel Matejka, Tomás Mikolov, Albert Strasheim, Jan Cernocký:
Data selection and calibration issues in automatic language recognition - investigation with BUT-AGNITIO NIST LRE 2009 system. Odyssey 2010: 37 - [c55]Tomás Mikolov, Oldrich Plchot, Ondrej Glembek, Lukás Burget, Jan Cernocký:
PCA-based Feature Extraction for Phonotactic Language Recognition. Odyssey 2010: 42 - [c54]Igor Szöke, Jan Cernocký, Michal Fapso, Josef Zizka:
Speech@FIT lecture browser. SLT 2010: 169-170 - [c53]Igor Szöke, Frantisek Grézl, Jan Cernocký, Michal Fapso, Tomás Cipr:
Acoustic keyword spotter - optimization from end-user perspective. SLT 2010: 189-193 - [c52]Martin Karafiát, Igor Szöke, Jan Cernocký:
Using Gradient Descent Optimization for Acoustics Training from Heterogeneous Data. TSD 2010: 322-329 - 2009
- [c51]Tomás Mikolov, Jirí Kopecký, Lukás Burget, Ondrej Glembek, Jan Cernocký:
Neural network based language models for highly inflective languages. ICASSP 2009: 4725-4728 - [c50]Marcel Kockmann, Lukás Burget, Jan Cernocký:
Brno University of Technology system for Interspeech 2009 emotion challenge. INTERSPEECH 2009: 348-351 - [c49]Lukás Burget, Pavel Matejka, Valiantsina Hubeika, Jan Cernocký:
Investigation into variants of joint factor analysis for speaker recognition. INTERSPEECH 2009: 1263-1266 - [c48]Lukás Burget, Michal Fapso, Valiantsina Hubeika, Ondrej Glembek, Martin Karafiát, Marcel Kockmann, Pavel Matejka, Petr Schwarz, Jan Cernocký:
BUT system for NIST 2008 speaker recognition evaluation. INTERSPEECH 2009: 2335-2338 - 2008
- [c47]Lukás Burget, Petr Schwarz, Pavel Matejka, Mirko Hannemann, Ariya Rastrow, Christopher M. White, Sanjeev Khudanpur, Hynek Hermansky, Jan Cernocký:
Combination of strongly and weakly constrained recognizers for reliable detection of OOVS. ICASSP 2008: 4081-4084 - [c46]Pavel Matejka, Lukás Burget, Ondrej Glembek, Petr Schwarz, Valiantsina Hubeika, Michal Fapso, Tomás Mikolov, Oldrich Plchot, Jan Cernocký:
BUT language recognition system for NIST 2007 evaluations. INTERSPEECH 2008: 739-742 - [c45]Martin Karafiát, Lukás Burget, Thomas Hain, Jan Cernocký:
Discrimininative training of narrow band - wide band adapted systems for meeting recognition. INTERSPEECH 2008: 1217-1220 - [c44]Ilya Oparin, Ondrej Glembek, Lukás Burget, Jan Cernocký:
Morphological random forests for language modeling of inflectional languages. SLT 2008: 189-192 - [c43]Igor Szöke, Lukás Burget, Jan Cernocký, Michal Fapso:
Sub-word modeling of out of vocabulary words in spoken term detection. SLT 2008: 273-276 - 2007
- [c42]Lukás Sekanina, Tomas Hruska, Tomás Vojnar, Dusan Kolár, Jan Cernocký:
On Some Directions in Security-Oriented Research. BLISS 2007: 141-144 - [c41]Pavel Matejka, Lukás Burget, Petr Schwarz, Ondrej Glembek, Martin Karafiát, Frantisek Grézl, Jan Cernocký, David A. van Leeuwen, Niko Brummer, Albert Strasheim:
STBU System for the NIST 2006 Speaker Recognition Evaluation. ICASSP (4) 2007: 221-224 - [c40]Frantisek Grézl, Martin Karafiát, Stanislav Kontar, Jan Cernocký:
Probabilistic and Bottle-Neck Features for LVCSR of Meetings. ICASSP (4) 2007: 757-760 - [c39]Martin Karafiát, Lukás Burget, Jan Cernocký, Thomas Hain:
Application of CMLLR in narrow band wide band adapted systems. INTERSPEECH 2007: 282-285 - [c38]Igor Szöke, Michal Fapso, Martin Karafiát, Lukás Burget, Frantisek Grézl, Petr Schwarz, Ondrej Glembek, Pavel Matejka, Jirí Kopecký, Jan Cernocký:
Spoken Term Detection System Based on Combination of LVCSR and Phonetic Search. MLMI 2007: 237-247 - [c37]Frantisek Grézl, Jan Cernocký:
TRAP-Based Techniques for Recognition of Noisy Speech. TSD 2007: 270-277 - [c36]Valiantsina Hubeika, Igor Szöke, Lukás Burget, Jan Cernocký:
Maximum Likelihood and Maximum Mutual Information Training in Gender and Age Recognition System. TSD 2007: 496-501 - 2006
- [c35]Michal Fapso, Pavel Smrz, Petr Schwarz, Igor Szöke, Milan Schwarz, Jan Cernocký, Martin Karafiát, Lukás Burget:
Information Retrieval from Spoken Documents. CICLing 2006: 410-416 - [c34]Pavel Matejka, Petr Schwarz, Lukás Burget, Jan Cernocký:
Use of Anti-Models to Further Improve State-of-the-Art PRLM Language Recognition System. ICASSP (1) 2006: 197-200 - [c33]Lukás Burget, Pavel Matejka, Jan Cernocký:
Discriminative Training Techniques for Acoustic Language Identification. ICASSP (1) 2006: 209-212 - [c32]Petr Schwarz, Pavel Matejka, Jan Cernocký:
Hierarchical Structures of Neural Networks for Phoneme Recognition. ICASSP (1) 2006: 325-328 - [c31]Marc A. Al-Hames, Thomas Hain, Jan Cernocký, Sascha Schreiber, Mannes Poel, Ronald Müller, Sébastien Marcel, David A. van Leeuwen, Jean-Marc Odobez, Sileye O. Ba, Hervé Bourlard, Fabien Cardinaux, Daniel Gatica-Perez, Adam Janin, Petr Motlícek, Stephan Reiter, Steve Renals, Jeroen van Rest, Rutger Rienks, Gerhard Rigoll, Kevin Smith, Andrew H. C. Thean, Pavel Zemcík:
Audio-Visual Processing in Meetings: Seven Questions and Current AMI Answers. MLMI 2006: 24-35 - [c30]Martin Karafiát, Frantisek Grézl, Petr Schwarz, Lukás Burget, Jan Cernocký:
Robust Heteroscedastic Linear Discriminant Analysis and LCRC Posterior Features in Meeting Data Recognition. MLMI 2006: 275-284 - [c29]Pavel Matejka, Lukás Burget, Petr Schwarz, Jan Cernocký:
Brno University of Technology System for NIST 2005 Language Recognition Evaluation. Odyssey 2006: 1-7 - [c28]Lukás Burget, Jan Cernocký, Michal Fapso, Martin Karafiát, Pavel Matejka, Petr Schwarz, Pavel Smrz, Igor Szöke:
Indexing and Search Methods for Spoken Documents. TSD 2006: 351-358 - 2005
- [c27]Igor Szöke, Petr Schwarz, Pavel Matejka, Lukás Burget, Martin Karafiát, Michal Fapso, Jan Cernocký:
Comparison of keyword spotting approaches for informal continuous speech. INTERSPEECH 2005: 633-636 - [c26]Petr Motlícek, Lukás Burget, Jan Cernocký:
Non-parametric speaker turn segmentation of meeting data. INTERSPEECH 2005: 657-660 - [c25]Pavel Matejka, Petr Schwarz, Jan Cernocký, Pavel Chytil:
Phonotactic language identification using high quality phoneme recognition. INTERSPEECH 2005: 2237-2240 - [c24]Igor Szöke, Petr Schwarz, Pavel Matejka, Lukás Burget, Martin Karafiát, Jan Cernocký:
Phoneme Based Acoustics Keyword Spotting in Informal Continuous Speech. TSD 2005: 302-309 - 2004
- [c23]Frantisek Grézl, Martin Karafiát, Jan Cernocký:
TRAP based features for LVCSR of meting data. INTERSPEECH 2004: 437-440 - [c22]Petr Pollák, Jan Cernocký:
Orthographic and Phonetic Annotation of Very Large Czech Corpora with Quality Assessment. LREC 2004 - [c21]Pavel Matejka, Igor Szöke, Petr Schwarz, Jan Cernocký:
Automatic Language Identification Using Phoneme and Automatically Derived Unit Strings. TSD 2004: 147-154 - [c20]Petr Motlícek, Jan Cernocký:
Multimodal Phoneme Recognition of Meeting Data. TSD 2004: 379-384 - [c19]Petr Schwarz, Pavel Matejka, Jan Cernocký:
Towards Lower Error Rates in Phoneme Recognition. TSD 2004: 465-472 - 2003
- [c18]Petr Motlícek, Jan Cernocký:
Time-domain based temporal processing with application of orthogonal transformations. INTERSPEECH 2003: 821-824 - [c17]Petr Schwarz, Pavel Matejka, Jan Cernocký:
Recognition of phoneme strings using TRAP technique. INTERSPEECH 2003: 825-828 - [c16]Petr Motlícek, Jan Cernocký:
Autoregressive modeling based feature extraction for Aurora3 DSR task. INTERSPEECH 2003: 1801-1804 - [c15]Pavel Matejka, Petr Schwarz, Hynek Hermansky, Jan Cernocký:
Phoneme Recognition Using Temporal Patterns. TSD 2003: 198-205 - [c14]Lukás Burget, Jan Cernocký:
Recognition of Speech with Non-random Attributes. TSD 2003: 257-262 - [c13]Petr Motlícek, Jan Cernocký:
All-Pole Modeling for Definition of Speech Features in Aurora3 DSR Task. TSD 2003: 295-300 - 2002
- [c12]Geneviève Baudoin, François Capman, Jan Cernocký, Fadi El Chami, Maurice Charbit, Gérard Chollet, Dijana Petrovska-Delacrétaz:
Advances in Very Low Bit Rate Speech Coding Using Recognition and Synthesis Techniques. TSD 2002: 269-276 - [c11]Pavel Matejka, Petr Schwarz, Martin Karafiát, Jan Cernocký:
Some Like It Gaussian.... TSD 2002: 321-324 - 2001
- [c10]Henk van den Heuvel, Jérôme Boudy, Zsolt Bakcsi, Jan Cernocký, Valery Galunov, Julia Kochanina, Wojciech Majewski, Petr Pollák, Milan Rusko, Jerzy Sadowski, Piotr Staroniewicz, Herbert S. Tropf:
Speechdat-e: five eastern european speech databases for voice-operated teleservices completed. INTERSPEECH 2001: 2059-2062 - [c9]Petr Motlícek, Geneviève Baudoin, Jan Cernocký, Gérard Chollet:
Minimization of Transition Noise and HNM Synthesis in Very Low Bit Rate Speech Coding. TSD 2001: 305-312 - 2000
- [c8]Petr Motlícek, Jan Cernocký:
Optimal Pitch Path Tracking for More Reliable Pitch Detection. TSD 2000: 183-188 - 1999
- [c7]Jan Cernocký, Dijana Petrovska-Delacrétaz, Stéphane Pigeon, Patrick Verlinde, Gérard Chollet:
A segmental approach to text-independent speaker verification. EUROSPEECH 1999: 2207-2210 - [c6]Jan Cernocký, Ivan Kopecek, Geneviève Baudoin, Gérard Chollet:
Very Low Bit Rate Speech Coding: Comparison of Data-Driven Units with Syllable Segments. TSD 1999: 262-267 - [c5]Jan Cernocký, Petr Pollák, Milan Rusko, Václav Hanzl, Marián Trnka:
Recording of Czech and Slovak Telephone Databases within SpeechDat-E. TSD 1999: 388-391 - 1998
- [c4]Jan Cernocký, Geneviève Baudoin, Gérard Chollet:
Segmental vocoder-going beyond the phonetic approach. ICASSP 1998: 605-608 - [c3]Dijana Petrovska-Delacrétaz, Jan Cernocký, Jean Hennebert, Gérard Chollet:
Text-independent speaker verification using automatically labelled acoustic segments. ICSLP 1998 - 1997
- [c2]Jan Cernocký, Geneviève Baudoin, Gérard Chollet:
Speech spectrum representation and coding using multigrams with distance. ICASSP 1997: 1343-1346 - [c1]Geneviève Baudoin, Jan Cernocký, Gérard Chollet:
Quantization of spectral sequences using variable length spectral segments for speech coding at very low bit rate. EUROSPEECH 1997: 1295-1298
Parts in Books or Collections
- 2017
- [p1]Martin Karafiát, Karel Veselý, Katerina Zmolíková, Marc Delcroix, Shinji Watanabe, Lukás Burget, Jan Honza Cernocký, Igor Szöke:
Training Data Augmentation and Data Selection. New Era for Robust Speech Recognition, Exploiting Deep Learning 2017: 245-260
Editorship
- 2021
- [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]
Informal and Other Publications
- 2025
- [i42]Alexander Polok, Dominik Klement, Martin Kocour, Jiangyu Han, Federico Landini, Bolaji Yusuf, Matthew Wiesner, Sanjeev Khudanpur, Jan Cernocký, Lukás Burget:
DiCoW: Diarization-Conditioned Whisper for Target Speaker Automatic Speech Recognition. CoRR abs/2501.00114 (2025) - [i41]Junyi Peng, Takanori Ashihara, Marc Delcroix, Tsubasa Ochiai, Oldrich Plchot, Shoko Araki, Jan Cernocký:
TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models. CoRR abs/2505.06660 (2025) - [i40]Sathvik Udupa, Shinji Watanabe, Petr Schwarz, Jan Cernocký:
Streaming Endpointer for Spoken Dialogue using Neural Audio Codecs and Label-Delayed Training. CoRR abs/2506.07081 (2025) - [i39]Simon Sedlácek, Bolaji Yusuf, Jan Svec, Pradyoth Hegde, Santosh Kesiraju, Oldrich Plchot, Jan Cernocký:
Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs. CoRR abs/2506.08633 (2025) - [i38]Pradyoth Hegde, Santosh Kesiraju, Jan Svec, Simon Sedlácek, Bolaji Yusuf, Oldrich Plchot, Deepak K. T, Jan Cernocký:
Factors affecting the in-context learning abilities of LLMs for dialogue state tracking. CoRR abs/2506.08753 (2025) - [i37]Dominik Klement, Matthew Maciejewski, Sanjeev Khudanpur, Jan Cernocký, Lukás Burget:
Unsupervised Speech Enhancement using Data-defined Priors. CoRR abs/2509.22942 (2025) - 2024
- [i36]Junyi Peng, Marc Delcroix, Tsubasa Ochiai, Oldrich Plchot, Shoko Araki, Jan Cernocký:
Target Speech Extraction with Pre-trained Self-supervised Learning Models. CoRR abs/2402.13199 (2024) - [i35]Junyi Peng, Marc Delcroix, Tsubasa Ochiai, Oldrich Plchot, Takanori Ashihara, Shoko Araki, Jan Cernocký:
Probing Self-supervised Learning Models with Target Speech Extraction. CoRR abs/2402.13200 (2024) - [i34]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) - [i33]Bolaji Yusuf, Jan Cernocký, Murat Saraçlar:
Pretraining End-to-End Keyword Search with Automatically Discovered Acoustic Units. CoRR abs/2407.04652 (2024) - [i32]Alexander Polok, Dominik Klement, Matthew Wiesner, Sanjeev Khudanpur, Jan Cernocký, Lukás Burget:
Target Speaker ASR with Whisper. CoRR abs/2409.09543 (2024) - [i31]Junyi Peng, Ladislav Mosner, Lin Zhang, Oldrich Plchot, Themos Stafylakis, Lukás Burget, Jan Cernocký:
CA-MHFA: A Context-Aware Multi-Head Factorized Attentive Pooling for SSL-Based Speaker Verification. CoRR abs/2409.15234 (2024) - [i30]Simon Sedlácek, Santosh Kesiraju, Alexander Polok, Jan Cernocký:
Aligning Pre-trained Models for Spoken Language Translation. CoRR abs/2411.18294 (2024) - 2023
- [i29]Katerina Zmolíková, Marc Delcroix, Tsubasa Ochiai, Keisuke Kinoshita, Jan Cernocký, Dong Yu:
Neural Target Speech Extraction: An Overview. CoRR abs/2301.13341 (2023) - [i28]Bolaji Yusuf, Jan Cernocký, Murat Saraclar:
End-to-End Open Vocabulary Keyword Search With Multilingual Neural Representations. CoRR abs/2308.08027 (2023) - [i27]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) - 2022
- [i26]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) - [i25]Jan Svec, Katerina Zmolíková, Martin Kocour, Marc Delcroix, Tsubasa Ochiai, Ladislav Mosner, Jan Cernocký:
Analysis of impact of emotions on target speech extraction and speech separation. CoRR abs/2208.07091 (2022) - [i24]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) - [i23]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) - [i22]Juan Zuluaga-Gomez, Karel Veselý, Igor Szöke, Petr Motlícek, Martin Kocour, Mickaël Rigault, Khalid Choukri, Amrutha Prasad, Seyyed Saeed Sarfjoo, Iuliia Nigmatulina, Claudia Cevenini, Pavel Kolcárek, Allan Tart, Jan Cernocký:
ATCO2 corpus: A Large-Scale Dataset for Research on Automatic Speech Recognition and Natural Language Understanding of Air Traffic Control Communications. CoRR abs/2211.04054 (2022) - 2021
- [i21]Martin Kocour, Guillermo Cámbara, Jordi Luque, David Bonet, Mireia Farrús, Martin Karafiát, Karel Veselý, Jan Honza Cernocký:
BCN2BRNO: ASR System Fusion for Albayzin 2020 Speech to Text Challenge. CoRR abs/2101.12729 (2021) - [i20]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) - [i19]Hari Krishna Vydana, Martin Karafiát, Lukás Burget, Honza Cernocký:
The IWSLT 2021 BUT Speech Translation Systems. CoRR abs/2107.06155 (2021) - [i18]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) - [i17]Ladislav Mosner, Oldrich Plchot, Lukás Burget, Jan Cernocký:
MultiSV: Dataset for Far-Field Multi-Channel Speaker Verification. CoRR abs/2111.06458 (2021) - 2020
- [i16]Martin Karafiát, Murali Karthick Baskar, Igor Szöke, Hari Krishna Vydana, Karel Veselý, Jan Honza Cernocký:
BUT Opensat 2019 Speech Recognition System. CoRR abs/2001.11360 (2020) - [i15]Hari Krishna Vydana, Martin Karafiát, Katerina Zmolíková, Lukás Burget, Honza Cernocký:
Jointly Trained Transformers models for Spoken Language Translation. CoRR abs/2004.12111 (2020) - [i14]Hari Krishna Vydana, Lukás Burget, Jan Cernocký:
A Technical Report: BUT Speech Translation Systems. CoRR abs/2010.11593 (2020) - [i13]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) - 2019
- [i12]Lucas Ondel, Hari Krishna Vydana, Lukás Burget, Jan Cernocký:
Bayesian Subspace Hidden Markov Model for Acoustic Unit Discovery. CoRR abs/1904.03876 (2019) - [i11]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) - [i10]Hossein Zeinali, Lukás Burget, Jan Honza Cernocký:
Acoustic Scene Classification Using Fusion of Attentive Convolutional Neural Networks for DCASE2019 Challenge. CoRR abs/1907.07127 (2019) - [i9]Hossein Zeinali, Themos Stafylakis, Georgia Athanasopoulou, Johan Rohdin, Ioannis Gkinis, Lukás Burget, Jan Honza Cernocký:
Detecting Spoofing Attacks Using VGG and SincNet: BUT-Omilia Submission to ASVspoof 2019 Challenge. CoRR abs/1907.12908 (2019) - [i8]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. CoRR abs/1912.03627 (2019) - 2018
- [i7]Murali Karthick Baskar, Martin Karafiát, Lukás Burget, Karel Veselý, Frantisek Grézl, Jan Honza Cernocký:
Residual Memory Networks: Feed-forward approach to learn long temporal dependencies. CoRR abs/1808.01916 (2018) - [i6]Hossein Zeinali, Lukás Burget, Hossein Sameti, Jan Cernocký:
Spoken Pass-Phrase Verification in the i-vector Space. CoRR abs/1809.11068 (2018) - [i5]Hossein Zeinali, Lukás Burget, Jan Cernocký:
Convolutional Neural Networks and x-vector Embedding for DCASE2018 Acoustic Scene Classification Challenge. CoRR abs/1810.04273 (2018) - [i4]Hossein Zeinali, Lukás Burget, Johan Rohdin, Themos Stafylakis, Jan Cernocký:
How to Improve Your Speaker Embeddings Extractor in Generic Toolkits. CoRR abs/1811.02066 (2018) - [i3]Murali Karthick Baskar, Lukás Burget, Shinji Watanabe, Martin Karafiát, Takaaki Hori, Jan Honza Cernocký:
Promising Accurate Prefix Boosting for sequence-to-sequence ASR. CoRR abs/1811.02770 (2018) - [i2]Martin Karafiát, Murali Karthick Baskar, Shinji Watanabe, Takaaki Hori, Matthew Wiesner, Jan Honza Cernocký:
Analysis of Multilingual Sequence-to-Sequence speech recognition systems. CoRR abs/1811.03451 (2018) - [i1]Ondrej Novotný, Oldrich Plchot, Ondrej Glembek, Jan Honza Cernocký, Lukás Burget:
Analysis of DNN Speech Signal Enhancement for Robust Speaker Recognition. CoRR abs/1811.07629 (2018)
Coauthor Index
[j18] [j16] [j14] [j13] [j12] [j11] [j10] [j8] [j5] [j4] [j3] [c172] [c171] [c168] [c167] [c164] [c163] [c162] [c160] [c159] [c158] [c157] [c156] [c155] [c154] [c153] [c150] [c149] [c147] [c146] [c144] [c143] [c141] [c140] [c137] [c135] [c134] [c133] [c131] [c130] [c129] [c128] [c127] [c126] [c125] [c124] [c122] [c121] [c119] [c116] [c114] [c113] [c112] [c111] [c110] [c109] [c108] [c107] [c106] [c105] [c104] [c103] [c102] [c101] [c100] [c99] [c98] [c97] [c96] [c94] [c92] [c91] [c89] [c87] [c85] [c83] [c81] [c78] [c77] [c70] [c69] [c68] [c67] [c66] [c64] [c63] [c62] [c61] [c59] [c58] [c57] [c56] [c55] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c41] [c39] [c38] [c36] [c35] [c34] [c33] [c30] [c29] [c28] [c27] [c26] [c24] [c14] [p1] [e1] [i42] [i37] [i34] [i32] [i31] [i27] [i26] [i24] [i23] [i20] [i19] [i18] [i17] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i1]
Mireia Díez
aka: Mireia Díez Sánchez
aka: Mireia Díez Sánchez
[j3] [c166] [c160] [c148] [c145] [c144] [c137] [c129] [c123] [c119] [c116] [c114] [c111] [c108] [c103] [c102] [c98] [c95] [c92] [c89] [c88] [c86] [c85] [c84] [c81] [c80] [c77] [c74] [c73] [c72] [c71] [c70] [c59] [c56] [c52] [c48] [c45] [c41] [c40] [c39] [c38] [c35] [c30] [c28] [c27] [c24] [c23] [c11] [p1] [i21] [i19] [i16] [i15] [i7] [i3] [i2]
[j13] [j11] [j7] [c173] [c172] [c170] [c169] [c167] [c164] [c163] [c162] [c158] [c157] [c156] [c153] [c150] [c149] [c133] [c132] [c130] [c124] [c117] [c113] [c107] [c104] [c99] [c96] [c90] [c83] [c75] [c73] [c72] [c67] [c60] [c56] [c55] [c46] [i41] [i39] [i38] [i36] [i35] [i31] [i24] [i23] [i17] [i1]
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