Cílem projektu je zvýšení kompetencí, sjednocení a větší koordinace dvou předních českých výzkumných pracovišť, v oboru dolování informací z řeči z reálných nahrávek pro oblast bezpečnosti a úzká spolupráce s bezpečnostními sbory na uvádění výsledků výzkumu do praxe vyšetřování a zpravodajství. Tento cíl zahrnuje posun v robustním automatickém rozpoznávání řeči (ASR), trénování/adaptaci ASR pro různá prostředí, určení kdy kdo mluví v nahrávce (diarizace) a výzkum prohledávání nahrávek pomocí akustických dotazů (Query by Example)

Description in English
The aim of the project is to increase competencies, unification and greater coordination of two leading Czech research institutes, in the field of speech information mining from real recordings in the field of security and close cooperation with security corps to put research results into practice of investigation and intelligence. This goal includes a shift in robust automatic speech recognition (ASR), training / adaptation of ASRs for different environments, determining when a person is speaking in a recording (diarization), and researching recordings through acoustic queries (Query by Example)

Keywords
rozpoznávání řeči, robustní, nahrávky, operativa, bezpečnost

Key words in English
speech recognition, robust, recordings, operations, security

VJ01010108

Czech

Karafiát Martin, Ing., Ph.D. - principal person responsible
Beneš Karel, Ing., Ph.D. - fellow researcher
Brukner Jan, Ing. - fellow researcher
Kesiraju Santosh, Ph.D. - fellow researcher
Malenovský Vladimír, Ing., Ph.D. - fellow researcher
Mošner Ladislav, Ing. - fellow researcher
Pálka Petr, Ing. - fellow researcher
Plchot Oldřich, Ing., Ph.D. - fellow researcher
Sedláček Šimon, Ing. - fellow researcher
Schwarz Petr, Ing., Ph.D. - fellow researcher
Silnova Anna, M.Sc., Ph.D. - fellow researcher
Švec Ján, Ing. - fellow researcher
Veselý Karel, Ing., Ph.D. - fellow researcher
Yusuf Bolaji - fellow researcher

Department of Computer Graphics and Multimedia
- responsible department (23.3.2020 - not assigned)
Speech Data Mining Research Group BUT Speech@FIT
- internal (23.3.2020 - 30.9.2025)
Department of Computer Graphics and Multimedia
- beneficiary (23.3.2020 - 30.9.2025)

KARAFIÁT, M.; DIEZ SÁNCHEZ, M.; ŠVEC, J.; ČERNOCKÝ, J.; SZŐKE, I.; ŠMÍDL, L.; ZAJÍC, Z.: SW2 Robustní diarizace. URL: https://www.fit.vut.cz/research/product/750/. (Software)
Detail

ŠMÍDL, L.; LEHEČKA, J.; ŠVEC, J.; KARAFIÁT, M.: SW5 Řečové technologie s automatickou adaptací na konkrétní prostředí. URL: https://www.fit.vut.cz/research/product/870/. (Software)
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YUSUF, B.; KARAFIÁT, M.; ŠVEC, J.; ŠMÍDL, L.: SW4 Detektor akustických vzorů. URL: https://www.fit.vut.cz/research/product/835/. (Software)
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KARAFIÁT, M.; LEHEČKA, J.; SZŐKE, I.; ŠMÍDL, L.; ŠVEC, J.: SW1: ASR asijského jazyka. URL: https://www.fit.vut.cz/research/product/697/. (Software)
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ŠMÍDL, L.; KARAFIÁT, M.; ŠVEC, J.; LEHEČKA, J.; MOŠNER, L.; BRUKNER, J.: SW3 ASR pro akusticky náročná prostředí. URL: https://www.fit.vut.cz/research/product/795/. (Software)
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ŠMÍDL, L.; KARAFIÁT, M.; LEHEČKA, J.; SZŐKE, I.; ŠVEC, J.: SW6 ASR systém východoevropského jazyka. URL: https://www.fit.vut.cz/research/product/836/. (Software)
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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.
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ZHANG, L.; WANG, X.; COOPER, E.; DIEZ SÁNCHEZ, M.; LANDINI, F.; EVANS, N.; YAMAGISHI, J. Spoof Diarization: "What Spoofed When" in Partially Spoofed Audio. In Proceedings of Interspeech 2024. Proceedings of Interspeech. Kos: International Speech Communication Association, 2024. no. 9, p. 502-506. ISSN: 1990-9772.
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PEŠÁN, J.; JUŘÍK, V.; RŮŽIČKOVÁ, A.; SVOBODA, V.; JANOUŠEK, O.; NĚMCOVÁ, A.; BOJANOVSKÁ, H.; ALDABAGHOVÁ, J.; KYSLÍK, F.; VODIČKOVÁ, K.; SODOMOVÁ, A.; BARTYS, P.; CHUDÝ, P.; ČERNOCKÝ, J. Speech production under stress for machine learning: multimodal dataset of 79 cases and 8 signals. Scientific Data, 2024, vol. 11, no. 1, p. 1-9. ISSN: 2052-4463.
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KUNEŠOVÁ, M.; ZAJÍC, Z.; ŠMÍDL, L.; KARAFIÁT, M. Comparison of wav2vec 2.0 models on three speech processing tasks. International Journal of Speech Technology, 2024, vol. 27, no. 4, p. 847-859. ISSN: 1572-8110.
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YUSUF, B.; ČERNOCKÝ, J.; SARAÇLAR, M. Pretraining End-to-End Keyword Search with Automatically Discovered Acoustic Units. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. Proceedings of Interspeech. Kos: International Speech Communication Association, 2024. no. 9, p. 5068-5072. ISSN: 1990-9772.
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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. no. 9, p. 1446-1450. ISSN: 1990-9772.
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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.
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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. no. 08, p. 511-515. ISSN: 1990-9772.
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HAN, J.; LANDINI, F.; ROHDIN, J.; SILNOVA, A.; DIEZ SÁNCHEZ, M.; BURGET, L. Leveraging Self-Supervised Learning for Speaker Diarization. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Hyderabad: IEEE Signal Processing Society, 2025. p. 1-5. ISBN: 979-8-3503-6874-1.
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PENG, J.; ASHIHARA, T.; DELCROIX, M.; OCHIAI, T.; PLCHOT, O.; ARAKI, S.; ČERNOCKÝ, J. TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Hyderabad: IEEE Signal Processing Society, 2025. p. 1-5. ISBN: 979-8-3503-6874-1.
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ZHANG, L.; STAFYLAKIS, T.; LANDINI, F.; DIEZ SÁNCHEZ, M.; SILNOVA, A.; BURGET, L. Do End-to-End Neural Diarization Attractors Need to Encode Speaker Characteristic Information?. Proceedings of Odyssey 2024: The Speaker and Language Recognition Workshop. Québec City: International Speech Communication Association, 2024. p. 123-130.
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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.
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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.
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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.
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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. no. 9, p. 605-609. ISSN: 1990-9772.
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PENG, J.; MOŠNER, L.; ZHANG, L.; PLCHOT, O.; STAFYLAKIS, T.; BURGET, L.; ČERNOCKÝ, J. CA-MHFA: A Context-Aware Multi-Head Factorized Attentive Pooling for SSL-Based Speaker Verification. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Hyderabad: IEEE Signal Processing Society, 2025. p. 1-5. ISBN: 979-8-3503-6874-1.
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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.
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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. no. 08, p. 1693-1697. ISSN: 1990-9772.
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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.
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PÁLKA, P.; LANDINI, F.; KLEMENT, D.; DIEZ SÁNCHEZ, M.; SILNOVA, A.; BURGET, L.; DELCROIX, M. Joint Training of Speaker Embedding Extractor, Speech and Overlap Detection for Diarization. Palermo: IEEE Signal Processing Society, 2025. p. 31-35. ISBN: 978-9-46-459362-4.
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MOŠNER, L.; SERIZEL, R.; BURGET, L.; PLCHOT, O.; VINCENT, E.; PENG, J.; ČERNOCKÝ, J. Multi-Channel Extension of Pre-trained Models for Speaker Verification. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. Proceedings of Interspeech. Kos: International Speech Communication Association, 2024. no. 9, p. 2135-2139. ISSN: 1990-9772.
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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.
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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.
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KLEMENT, D.; DIEZ SÁNCHEZ, M.; LANDINI, F.; BURGET, L.; SILNOVA, A.; DELCROIX, M.; TAWARA, N. Discriminative Training of VBx Diarization. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Seoul: IEEE Signal Processing Society, 2024. p. 11871-11875. ISBN: 979-8-3503-4485-1.
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YUSUF, B.; SARAÇLAR, M. Written Term Detection Improves Spoken Term Detection. IEEE-ACM Transactions on Audio Speech and Language Processing, 2024, vol. 32, no. 06, p. 3213-3223. ISSN: 2329-9290.
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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.
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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.
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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.
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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.
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ALAM, J.; BARAHONA QUIRÓS, S.; BOBOŠ, D.; BURGET, L.; CUMANI, S.; DAHMANE, M.; HAN, J.; HLAVÁČEK, M.; KODOVSKÝ, M.; LANDINI, F.; MOŠNER, L.; PÁLKA, P.; PAVLÍČEK, T.; PENG, J.; PLCHOT, O.; RAJASEKHAR, P.; ROHDIN, J.; SILNOVA, A.; STAFYLAKIS, T.; ZHANG, L. ABC SYSTEM DESCRIPTION FOR NIST SRE 2024. Proceedings of NIST SRE 2024. San Juan: National Institute of Standards and Technology, 2024. p. 1-9.
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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.
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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. no. 9, p. 5095-5099. ISSN: 1990-9772.
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Responsibility: Karafiát Martin, Ing., Ph.D.