Detail projektu

Neural Representations in multi-modal and multi-lingual modeling

Období řešení: 1. 1. 2019 – 31. 12. 2023

Typ projektu: grant

Kód: GX19-26934X

Agentura: Grantová agentura České republiky

Program: Grantové projekty exelence v základním výzkumu EXPRO - 2019

Název česky
Neuronové reprezentace v multimodálním a mnohojazyčném modelování
Typ
grant
Klíčová slova

hluboké strojové učení;neuronové sítě;spojité reprezentace;zpracování přirozeného jazyka;zpracování řeči a textu;strojový překlad; multimodalita;mnohojazyčnost

Abstrakt

Projekt NEUREM3 spojuje základní výzkum v oblasti zpracování mluvené řeči (speech processing, SP) a přirozeného jazyka (natural language processing, NLP) s důrazem na vícejazyčnost a multi-modalitu (zpracování řeči a textu s podporou obrazové informace). V jádru současných metod hlubokého strojového učení leží spojité vektorové reprezentace, které si neuronové samy budují během trénování. Ačkoli empiricky dosahují neuronové sítě často vynikajících výsledků, znalosti a pochopení získaných reprezentací jsou nedostatečné. NEUREM3 má ambici tuto mezeru vyplnit a studovat neuronové reprezentace pro jednotky textu a řeči různého rozsahu (od fonémů a písmen až po proslovy a dokumenty) a reprezentace získané pro izolované úlohy i více úloh současně (multi-tasking). NEUREM3 vylepší architektury i techniky trénování neuronových sítí, aby je bylo možné trénovat je na neúplných nebo nekoherentních datech.

Řešitelé
Burget Lukáš, doc. Ing., Ph.D. (UPGM) – hlavní řešitel
Baskar Murali Karthick, Ing., Ph.D.
Beneš Karel, Ing. (UPGM)
Karafiát Martin, Ing., Ph.D. (UPGM)
Veselý Karel, Ing., Ph.D. (UPGM)
Publikace

2024

  • BENEŠ, K.; KOCOUR, M.; BURGET, L. Hystoc: Obtaining Word Confidences for Fusion of End-To-End ASR Systems. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Seoul: IEEE Signal Processing Society, 2024. p. 11276-11280. ISBN: 979-8-3503-4485-1. Detail
  • HAN, J.; LANDINI, F.; ROHDIN, J.; DIEZ SÁNCHEZ, M.; BURGET, L.; CAO, Y.; LU, H.; ČERNOCKÝ, J. Diacorrect: Error Correction Back-End for Speaker Diarization. In ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Seoul: IEEE Signal Processing Society, 2024. p. 11181-11185. ISBN: 979-8-3503-4485-1. Detail
  • LANDINI, F.; DIEZ SÁNCHEZ, M.; STAFYLAKIS, T.; BURGET, L. DiaPer: End-to-End Neural Diarization With Perceiver-Based Attractors. IEEE Transactions on Audio, Speech, and Language Processing, 2024, vol. 32, no. 7, p. 3450-3465. ISSN: 1558-7916. Detail

2023

  • DELCROIX, M.; TAWARA, N.; DIEZ SÁNCHEZ, M.; LANDINI, F.; SILNOVA, A.; OGAWA, A.; NAKATANI, T.; BURGET, L.; ARAKI, S. Multi-Stream Extension of Variational Bayesian HMM Clustering (MS-VBx) for Combined End-to-End and Vector Clustering-based Diarization. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. Proceedings of Interspeech. Dublin: International Speech Communication Association, 2023. p. 3477-3481. ISSN: 1990-9772. Detail
  • KAKOUROS, S.; STAFYLAKIS, T.; MOŠNER, L.; BURGET, L. Speech-Based Emotion Recognition with Self-Supervised Models Using Attentive Channel-Wise Correlations and Label Smoothing. In Proceedings of ICASSP 2023. Rhodes Island: IEEE Signal Processing Society, 2023. p. 1-5. ISBN: 978-1-7281-6327-7. Detail
  • KESIRAJU, S.; BENEŠ, K.; TIKHONOV, M.; ČERNOCKÝ, J. BUT Systems for IWSLT 2023 Marathi - Hindi Low Resource Speech Translation Task. In 20th International Conference on Spoken Language Translation, IWSLT 2023 - Proceedings of the Conference. Toronto (in-person and online): Association for Computational Linguistics, 2023. p. 227-234. ISBN: 978-1-959429-84-5. Detail
  • KESIRAJU, S.; SARVAŠ, M.; PAVLÍČEK, T.; MACAIRE, C.; CIUBA, A. Strategies for Improving Low Resource Speech to Text Translation Relying on Pre-trained ASR Models. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. Proceedings of Interspeech. Dublin: International Speech Communication Association, 2023. p. 2148-2152. ISSN: 1990-9772. Detail
  • LANDINI, F.; DIEZ SÁNCHEZ, M.; LOZANO DÍEZ, A.; BURGET, L. Multi-Speaker and Wide-Band Simulated Conversations as Training Data for End-to-End Neural Diarization. In Proceedings of ICASSP 2023. Rhodes Island: IEEE Signal Processing Society, 2023. p. 1-5. ISBN: 978-1-7281-6327-7. Detail
  • MATĚJKA, P.; SILNOVA, A.; SLAVÍČEK, J.; MOŠNER, L.; PLCHOT, O.; KLČO, M.; PENG, J.; STAFYLAKIS, T.; BURGET, L. Description and Analysis of ABC Submission to NIST LRE 2022. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. Proceedings of Interspeech. Dublin: International Speech Communication Association, 2023. p. 511-515. ISSN: 1990-9772. Detail
  • MOŠNER, L.; PLCHOT, O.; PENG, J.; BURGET, L.; ČERNOCKÝ, J. Multi-Channel Speech Separation with Cross-Attention and Beamforming. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. Proceedings of Interspeech. Dublin: International Speech Communication Association, 2023. p. 1693-1697. ISSN: 1990-9772. Detail
  • PENG, J.; PLCHOT, O.; STAFYLAKIS, T.; MOŠNER, L.; BURGET, L.; ČERNOCKÝ, J. An attention-based backend allowing efficient fine-tuning of transformer models for speaker verification. In 2022 IEEE Spoken Language Technology Workshop, SLT 2022 - Proceedings. Doha: IEEE Signal Processing Society, 2023. p. 555-562. ISBN: 978-1-6654-7189-3. Detail
  • PENG, J.; PLCHOT, O.; STAFYLAKIS, T.; MOŠNER, L.; BURGET, L.; ČERNOCKÝ, J. Improving Speaker Verification with Self-Pretrained Transformer Models. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. Proceedings of Interspeech. Dublin: International Speech Communication Association, 2023. p. 5361-5365. ISSN: 1990-9772. Detail
  • PENG, J.; STAFYLAKIS, T.; GU, R.; PLCHOT, O.; MOŠNER, L.; BURGET, L.; ČERNOCKÝ, J. Parameter-Efficient Transfer Learning of Pre-Trained Transformer Models for Speaker Verification Using Adapters. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Rhodes Island: IEEE Signal Processing Society, 2023. p. 1-5. ISBN: 978-1-7281-6327-7. Detail
  • SILNOVA, A.; BRUMMER, J.; SWART, A.; BURGET, L. Toroidal Probabilistic Spherical Discriminant Analysis. In Proceedings of ICASSP 2023. Rhodes Island: IEEE Signal Processing Society, 2023. p. 1-5. ISBN: 978-1-7281-6327-7. Detail
  • SILNOVA, A.; SLAVÍČEK, J.; MOŠNER, L.; KLČO, M.; PLCHOT, O.; MATĚJKA, P.; PENG, J.; STAFYLAKIS, T.; BURGET, L. ABC System Description for NIST LRE 2022. Proceedings of NIST LRE 2022 Workshop. Washington DC: National Institute of Standards and Technology, 2023. p. 1-5. Detail
  • STAFYLAKIS, T.; MOŠNER, L.; KAKOUROS, S.; PLCHOT, O.; BURGET, L.; ČERNOCKÝ, J. Extracting speaker and emotion information from self-supervised speech models via channel-wise correlations. In 2022 IEEE Spoken Language Technology Workshop, SLT 2022 - Proceedings. Doha: IEEE Signal Processing Society, 2023. p. 1136-1143. ISBN: 978-1-6654-7189-3. Detail
  • YU, D.; GONG, Y.; PICHENY, A.; RAMABHADRAN, B.; HAKKANI-TÜR, D.; PRASAD, R.; ZEN, H.; SKOGLUND, J.; ČERNOCKÝ, J.; BURGET, L.; MOHAMED, A. Twenty-Five Years of Evolution in Speech and Language Processing. IEEE SIGNAL PROCESSING MAGAZINE, 2023, vol. 40, no. 5, p. 27-39. ISSN: 1558-0792. Detail
  • YUSUF, B.; ČERNOCKÝ, J.; SARAÇLAR, M. End-to-End Open Vocabulary Keyword Search With Multilingual Neural Representations. IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING, 2023, vol. 31, no. 08, p. 3070-3080. ISSN: 2329-9290. Detail

2022

  • ALAM, J.; BURGET, L.; GLEMBEK, O.; MATĚJKA, P.; MOŠNER, L.; PLCHOT, O.; ROHDIN, J.; SILNOVA, A.; STAFYLAKIS, T. Development of ABC systems for the 2021 edition of NIST Speaker Recognition evaluation. Proceedings of The Speaker and Language Recognition Workshop (Odyssey 2022). Beijing: International Speech Communication Association, 2022. p. 346-353. Detail
  • BASKAR, M.; HERZIG, T.; NGUYEN, D.; DIEZ SÁNCHEZ, M.; POLZEHL, T.; BURGET, L.; ČERNOCKÝ, J. Speaker adaptation for Wav2vec2 based dysarthric ASR. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. Proceedings of Interspeech. Incheon: International Speech Communication Association, 2022. p. 3403-3407. ISSN: 1990-9772. Detail
  • BRUMMER, J.; SWART, A.; MOŠNER, L.; SILNOVA, A.; PLCHOT, O.; STAFYLAKIS, T.; BURGET, L. Probabilistic Spherical Discriminant Analysis: An Alternative to PLDA for length-normalized embeddings. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. Proceedings of Interspeech. Incheon: International Speech Communication Association, 2022. p. 1446-1450. ISSN: 1990-9772. Detail
  • BURGET, L.; BOJAR, O. NEUREM3 Interim Research Report. Brno: Department of Computer Graphics and Multimedia FIT BUT, 2022. p. 1-78. Detail
  • EGOROVA, E.; VYDANA, H.; BURGET, L.; ČERNOCKÝ, J. Spelling-Aware Word-Based End-to-End ASR. IEEE SIGNAL PROCESSING LETTERS, 2022, vol. 29, no. 29, p. 1729-1733. ISSN: 1558-2361. Detail
  • HAN, J.; LONG, Y.; BURGET, L.; ČERNOCKÝ, J. DPCCN: Densely-Connected Pyramid Complex Convolutional Network for Robust Speech Separation and Extraction. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Singapore: IEEE Signal Processing Society, 2022. p. 7292-7296. ISBN: 978-1-6654-0540-9. Detail
  • KIŠŠ, M.; KOHÚT, J.; BENEŠ, K.; HRADIŠ, M. Importance of Textlines in Historical Document Classification. In Uchida, S., Barney, E., Eglin, V. (eds) Document Analysis Systems. Lecture Notes in Computer Science. La Rochelle: Springer Nature Switzerland AG, 2022. p. 158-170. ISBN: 978-3-031-06554-5. Detail
  • KOCOUR, M.; UMESH, J.; KARAFIÁT, M.; ŠVEC, J.; LOPEZ, F.; BENEŠ, K.; DIEZ SÁNCHEZ, M.; SZŐKE, I.; LUQUE, J.; VESELÝ, K.; BURGET, L.; ČERNOCKÝ, J. BCN2BRNO: ASR System Fusion for Albayzin 2022 Speech to Text Challenge. Proceedings of IberSpeech 2022. Granada: International Speech Communication Association, 2022. p. 276-280. Detail
  • LANDINI, F.; LOZANO DÍEZ, A.; DIEZ SÁNCHEZ, M.; BURGET, L. From Simulated Mixtures to Simulated Conversations as Training Data for End-to-End Neural Diarization. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. Proceedings of Interspeech. Incheon: International Speech Communication Association, 2022. p. 5095-5099. ISSN: 1990-9772. Detail
  • LANDINI, F.; PROFANT, J.; DIEZ SÁNCHEZ, M.; BURGET, L. Bayesian HMM clustering of x-vector sequences (VBx) in speaker diarization: Theory, implementation and analysis on standard tasks. COMPUTER SPEECH AND LANGUAGE, 2022, vol. 71, no. 101254, p. 1-16. ISSN: 0885-2308. Detail
  • MOŠNER, L.; PLCHOT, O.; BURGET, L.; ČERNOCKÝ, J. Multi-Channel Speaker Verification with Conv-Tasnet Based Beamformer. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Singapore: IEEE Signal Processing Society, 2022. p. 7982-7986. ISBN: 978-1-6654-0540-9. Detail
  • MOŠNER, L.; PLCHOT, O.; BURGET, L.; ČERNOCKÝ, J. Multisv: Dataset for Far-Field Multi-Channel Speaker Verification. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Singapore: IEEE Signal Processing Society, 2022. p. 7977-7981. ISBN: 978-1-6654-0540-9. Detail
  • NADIMPALLI, V.; KESIRAJU, S.; BANKA, R.; KETHIREDDY, R.; GANGASHETTY, S. Resources and Benchmarks for Keyword Search in Spoken Audio From Low-Resource Indian Languages. IEEE Access, 2022, vol. 10, no. 2022, p. 34789-34799. ISSN: 2169-3536. Detail
  • ONDEL YANG, L.; YUSUF, B.; BURGET, L.; SARAÇLAR, M. Non-Parametric Bayesian Subspace Models for Acoustic Unit Discovery. IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING, 2022, vol. 30, no. 5, p. 1902-1917. ISSN: 2329-9290. Detail
  • PENG, J.; GU, R.; MOŠNER, L.; PLCHOT, O.; BURGET, L.; ČERNOCKÝ, J. Learnable Sparse Filterbank for Speaker Verification. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. Proceedings of Interspeech. Incheon: International Speech Communication Association, 2022. p. 5110-5114. ISSN: 1990-9772. Detail
  • PENG, J.; ZHANG, C.; ČERNOCKÝ, J.; YU, D. Progressive contrastive learning for self-supervised text-independent speaker verification. Proceedings of The Speaker and Language Recognition Workshop (Odyssey 2022). Beijing: International Speech Communication Association, 2022. p. 17-24. Detail
  • SILNOVA, A.; STAFYLAKIS, T.; MOŠNER, L.; PLCHOT, O.; ROHDIN, J.; MATĚJKA, P.; BURGET, L.; GLEMBEK, O.; BRUMMER, J. Analyzing speaker verification embedding extractors and back-ends under language and channel mismatch. Proceedings of The Speaker and Language Recognition Workshop (Odyssey 2022). Beijing: International Speech Communication Association, 2022. p. 9-16. Detail
  • STAFYLAKIS, T.; MOŠNER, L.; PLCHOT, O.; ROHDIN, J.; SILNOVA, A.; BURGET, L.; ČERNOCKÝ, J. Training Speaker Embedding Extractors Using Multi-Speaker Audio with Unknown Speaker Boundaries. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. Proceedings of Interspeech. Incheon: International Speech Communication Association, 2022. p. 605-609. ISSN: 1990-9772. Detail

2021

  • BASKAR, M.; BURGET, L.; WATANABE, S.; ASTUDILLO, R.; ČERNOCKÝ, J. Eat: Enhanced ASR-TTS for Self-Supervised Speech Recognition. In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Toronto, Ontario: IEEE Signal Processing Society, 2021. p. 6753-6757. ISBN: 978-1-7281-7605-5. Detail
  • BENEŠ, K.; BURGET, L. Text Augmentation for Language Models in High Error Recognition Scenario. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. Proceedings of Interspeech. Brno: International Speech Communication Association, 2021. p. 1872-1876. ISSN: 1990-9772. Detail
  • EGOROVA, E.; VYDANA, H.; BURGET, L.; ČERNOCKÝ, J. Out-of-Vocabulary Words Detection with Attention and CTC Alignments in an End-to-End ASR System. In Proceedings Interspeech 2021. Proceedings of Interspeech. Brno: International Speech Communication Association, 2021. p. 2901-2905. ISSN: 1990-9772. Detail
  • KARAFIÁT, M.; VESELÝ, K.; ČERNOCKÝ, J.; PROFANT, J.; NYTRA, J.; HLAVÁČEK, M.; PAVLÍČEK, T. Analysis of X-Vectors for Low-Resource Speech Recognition. In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Toronto, Ontario: IEEE Signal Processing Society, 2021. p. 6998-7002. ISBN: 978-1-7281-7605-5. Detail
  • KIŠŠ, M.; BENEŠ, K.; HRADIŠ, M. AT-ST: Self-Training Adaptation Strategy for OCR in Domains with Limited Transcriptions. In Lladós J., Lopresti D., Uchida S. (eds) Document Analysis and Recognition - ICDAR 2021. Lecture Notes in Computer Science. Lausanne: Springer Nature Switzerland AG, 2021. p. 463-477. ISBN: 978-3-030-86336-4. Detail
  • KOCOUR, M.; CÁMBARA, G.; LUQUE, J.; BONET, D.; FARRÚS, M.; KARAFIÁT, M.; VESELÝ, K.; ČERNOCKÝ, J. BCN2BRNO: ASR System Fusion for Albayzin 2020 Speech to Text Challenge. Proceedings of IberSPEECH 2021. Vallaloid: International Speech Communication Association, 2021. p. 113-117. Detail
  • LANDINI, F.; GLEMBEK, O.; MATĚJKA, P.; ROHDIN, J.; BURGET, L.; DIEZ SÁNCHEZ, M.; SILNOVA, A. Analysis of the BUT Diarization System for Voxconverse Challenge. In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Toronto, Ontario: IEEE Signal Processing Society, 2021. p. 5819-5823. ISBN: 978-1-7281-7605-5. Detail
  • LANDINI, F.; LOZANO DÍEZ, A.; BURGET, L.; DIEZ SÁNCHEZ, M.; SILNOVA, A.; ŽMOLÍKOVÁ, K.; GLEMBEK, O.; MATĚJKA, P.; STAFYLAKIS, T.; BRUMMER, J. BUT System Description for The Third DIHARD Speech Diarization Challenge. Proceedings available at Dihard Challenge Github. on-line by LDC and University of Pennsylvania: 2021. p. 1-5. Detail
  • PENG, J.; QU, X.; GU, R.; WANG, J.; XIAO, J.; BURGET, L.; ČERNOCKÝ, J. Effective Phase Encoding for End-To-End Speaker Verification. In Proceedings Interspeech 2021. Proceedings of Interspeech. Brno: International Speech Communication Association, 2021. p. 2366-2370. ISSN: 1990-9772. Detail
  • PENG, J.; QU, X.; WANG, J.; GU, R.; XIAO, J.; BURGET, L.; ČERNOCKÝ, J. ICSpk: Interpretable Complex Speaker Embedding Extractor from Raw Waveform. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. Proceedings of Interspeech. Brno: International Speech Communication Association, 2021. p. 511-515. ISSN: 1990-9772. Detail
  • STAFYLAKIS, T.; ROHDIN, J.; BURGET, L. Speaker embeddings by modeling channel-wise correlations. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. Proceedings of Interspeech. Brno: International Speech Communication Association, 2021. p. 501-505. ISSN: 1990-9772. Detail
  • VYDANA, H.; KARAFIÁT, M.; BURGET, L.; ČERNOCKÝ, J. The IWSLT 2021 BUT Speech Translation Systems. In Proceedings of 18th International Conference on Spoken Language Translation (IWSLT). Bangkok, on-line: Association for Computational Linguistics, 2021. p. 75-83. ISBN: 978-1-7138-3378-9. Detail
  • VYDANA, H.; KARAFIÁT, M.; ŽMOLÍKOVÁ, K.; BURGET, L.; ČERNOCKÝ, J. Jointly Trained Transformers Models for Spoken Language Translation. In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Toronto, Ontario: IEEE Signal Processing Society, 2021. p. 7513-7517. ISBN: 978-1-7281-7605-5. Detail
  • YUSUF, B.; ONDEL YANG, L.; BURGET, L.; ČERNOCKÝ, J.; SARAÇLAR, M. A Hierarchical Subspace Model for Language-Attuned Acoustic Unit Discovery. In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Toronto, Ontario: IEEE Signal Processing Society, 2021. p. 3710-3714. ISBN: 978-1-7281-7605-5. Detail
  • ŽMOLÍKOVÁ, K.; DELCROIX, M.; BURGET, L.; NAKATANI, T.; ČERNOCKÝ, J. Integration of Variational Autoencoder and Spatial Clustering for Adaptive Multi-Channel Neural Speech Separation. In 2021 IEEE Spoken Language Technology Workshop, SLT 2021 - Proceedings. Shenzhen - virtual: IEEE Signal Processing Society, 2021. p. 889-896. ISBN: 978-1-7281-7066-4. Detail

2020

  • ALAM, J.; BOULIANNE, G.; BURGET, L.; DAHMANE, M.; DIEZ SÁNCHEZ, M.; GLEMBEK, O.; LALONDE, M.; LOZANO DÍEZ, A.; MATĚJKA, P.; MIZERA, P.; MOŠNER, L.; NOISEUX, C.; MONTEIRO, J.; NOVOTNÝ, O.; PLCHOT, O.; ROHDIN, J.; SILNOVA, A.; SLAVÍČEK, J.; STAFYLAKIS, T.; ST-CHARLES, P.; WANG, S.; ZEINALI, H. Analysis of ABC Submission to NIST SRE 2019 CMN and VAST Challenge. In Proceedings of Odyssey 2020 The Speaker and Language Recognition Workshop. Proceedings of Odyssey: The Speaker and Language Recognition Workshop Odyssey 2014, Joensuu, Finland. Tokyo: International Speech Communication Association, 2020. p. 289-295. ISSN: 2312-2846. Detail
  • BURGET, L.; GLEMBEK, O.; LOZANO DÍEZ, A.; MATĚJKA, P.; NOVOTNÝ, O.; PLCHOT, O.; PULUGUNDLA, B.; ROHDIN, J.; SILNOVA, A.; VESELÝ, K. BUT System Description to SdSV Challenge 2020. Proceedings of Short-duration Speaker Verification Challenge 2020 Workshop. Shanghai, on-line event of Interspeech 2020 Conference: 2020. p. 1-5. Detail
  • DIEZ SÁNCHEZ, M.; BURGET, L.; LANDINI, F.; ČERNOCKÝ, J. Analysis of Speaker Diarization based on Bayesian HMM with Eigenvoice Priors. IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING, 2020, vol. 28, no. 1, p. 355-368. ISSN: 2329-9290. Detail
  • LOZANO DÍEZ, A.; SILNOVA, A.; PULUGUNDLA, B.; ROHDIN, J.; VESELÝ, K.; BURGET, L.; PLCHOT, O.; GLEMBEK, O.; NOVOTNÝ, O.; MATĚJKA, P. BUT Text-Dependent Speaker Verification System for SdSV Challenge 2020. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. Proceedings of Interspeech. Shanghai: International Speech Communication Association, 2020. p. 761-765. ISSN: 1990-9772. Detail
  • MATĚJKA, P.; PLCHOT, O.; GLEMBEK, O.; BURGET, L.; ROHDIN, J.; ZEINALI, H.; MOŠNER, L.; SILNOVA, A.; NOVOTNÝ, O.; DIEZ SÁNCHEZ, M.; ČERNOCKÝ, J. 13 years of speaker recognition research at BUT, with longitudinal analysis of NIST SRE. COMPUTER SPEECH AND LANGUAGE, 2020, vol. 2020, no. 63, p. 1-15. ISSN: 0885-2308. Detail
  • ROHDIN, J.; SILNOVA, A.; DIEZ SÁNCHEZ, M.; PLCHOT, O.; MATĚJKA, P.; BURGET, L.; GLEMBEK, O. End-to-end DNN based text-independent speaker recognition for long and short utterances. COMPUTER SPEECH AND LANGUAGE, 2020, vol. 2020, no. 59, p. 22-35. ISSN: 0885-2308. Detail
  • SILNOVA, A.; BRUMMER, J.; ROHDIN, J.; STAFYLAKIS, T.; BURGET, L. Probabilistic embeddings for speaker diarization. Proceedings of Odyssey 2020 The Speaker and Language Recognition Workshop. Proceedings of Odyssey: The Speaker and Language Recognition Workshop Odyssey 2014, Joensuu, Finland. Tokyo: International Speech Communication Association, 2020. p. 24-31. ISSN: 2312-2846. Detail
  • WANG, S.; ROHDIN, J.; PLCHOT, O.; BURGET, L.; YU, K.; ČERNOCKÝ, J. Investigation of Specaugment for Deep Speaker Embedding Learning. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Barcelona: IEEE Signal Processing Society, 2020. p. 7139-7143. ISBN: 978-1-5090-6631-5. Detail
  • ZULUAGA-GOMEZ, J.; MOTLÍČEK, P.; ZHAN, Q.; VESELÝ, K.; BRAUN, R. Automatic Speech Recognition Benchmark for Air-Traffic Communications. In Proceedings of Interspeech 2020. Proceedings of Interspeech. Shanghai: International Speech Communication Association, 2020. p. 2297-2301. ISSN: 1990-9772. Detail

2019

  • ALAM, J.; BOULIANNE, G.; BURGET, L.; GLEMBEK, O.; LOZANO DÍEZ, A.; MATĚJKA, P.; MIZERA, P.; MOŠNER, L.; NOVOTNÝ, O.; PLCHOT, O.; ROHDIN, J.; SILNOVA, A.; SLAVÍČEK, J.; STAFYLAKIS, T.; WANG, S.; ZEINALI, H.; DAHMANE, M.; ST-CHARLES, P.; LALONDE, M.; NOISEUX, C.; MONTEIRO, J. ABC System Description for NIST Multimedia Speaker Recognition Evaluation 2019. Proceedings of NIST 2019 SRE Workshop. Sentosa, Singapore: National Institute of Standards and Technology, 2019. p. 1-7. Detail
  • DIEZ SÁNCHEZ, M.; BURGET, L.; WANG, S.; ROHDIN, J.; ČERNOCKÝ, J. Bayesian HMM based x-vector clustering for Speaker Diarization. In Proceedings of Interspeech. Proceedings of Interspeech. Graz: International Speech Communication Association, 2019. p. 346-350. ISSN: 1990-9772. Detail
  • MATĚJKA, P.; PLCHOT, O.; ZEINALI, H.; MOŠNER, L.; SILNOVA, A.; BURGET, L.; NOVOTNÝ, O.; GLEMBEK, O. Analysis of BUT Submission in Far-Field Scenarios of VOiCES 2019 Challenge. In Proceedings of Interspeech. Proceedings of Interspeech. Graz: International Speech Communication Association, 2019. p. 2448-2452. ISSN: 1990-9772. Detail
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