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Artur Janicki
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2020 – today
- 2024
- [j17]Mikolaj Pudo
, Mateusz Wosik
Improved Small-Footprint ASR-Based Solution for Open Vocabulary Keyword Spotting. IEEE Access 12: 91289-91299 (2024) - [c28]Pawel Gryka
Detection of AI-Generated Emails - A Case Study. ARES 2024: 141:1-141:8 - [c27]Mikolaj Plachta
Comparison of computational complexity of neural network models for detection of steganographic algorithms. ICSCA 2024: 7-11 - [i10]Jakub Hoscilowicz, Adam Wiacek, Jan Chojnacki, Adam Cieslak, Leszek Michon, Vitalii Urbanevych, Artur Janicki:
NL-ITI: Optimizing Probing and Intervention for Improvement of ITI Method. CoRR abs/2403.18680 (2024) - [i9]Jakub Hoscilowicz, Pawel Pawlowski, Marcin Skorupa, Marcin Sowanski, Artur Janicki:
Large Language Models for Expansion of Spoken Language Understanding Systems to New Languages. CoRR abs/2404.02588 (2024) - [i8]Jakub Hoscilowicz, Pawel Popiolek, Jan Rudkowski, Jedrzej Bieniasz, Artur Janicki:
Hiding Text in Large Language Models: Introducing Unconditional Token Forcing Confusion. CoRR abs/2406.02481 (2024) - [i7]Lukasz Marcul, Mateusz Brzozowski, Artur Janicki:
System for Measurement of Electric Energy Using Beacons with Optical Sensors and LoRaWAN Transmission. CoRR abs/2406.18455 (2024) - [i6]Mateusz Brzozowski, Artur Janicki:
Real-Time Energy Measurement for Non-Intrusive Well-Being Monitoring of Elderly People - a Case Study. CoRR abs/2407.00524 (2024) - 2023
- [c26]Mikolaj Pudo
Open Vocabulary Keyword Spotting with Small-Footprint ASR-based Architecture and Language Models. FedCSIS 2023: 657-666 - [c25]Marcin Sowanski
Optimizing Machine Translation for Virtual Assistants: Multi-Variant Generation with VerbNet and Conditional Beam Search. FedCSIS 2023: 1149-1154 - [c24]Jakub Hoscilowicz, Marcin Sowanski, Piotr Czubowski, Artur Janicki:
Can We Use Probing to Better Understand Fine-Tuning and Knowledge Distillation of the BERT NLU? ICAART (3) 2023: 625-632 - [c23]Marek Kozlowski
Enhanced Emotion and Sentiment Recognition for Empathetic Dialogue System Using Big Data and Deep Learning Methods. ICCS (1) 2023: 465-480 - [c22]Mikolaj Pudo
MOCKS 1.0: Multilingual Open Custom Keyword Spotting Testset. INTERSPEECH 2023: 4054-4058 - [c21]Karolina Gabor-Siatkowska
Therapeutic Spoken Dialogue System in Clinical Settings: Initial Experiments. IWSSIP 2023: 1-5 - [c20]Marcin Sowanski, Artur Janicki:
Slot Lost in Translation? Not Anymore: A Machine Translation Model for Virtual Assistants with Type-Independent Slot Transfer. IWSSIP 2023: 1-5 - [i5]Jakub Hoscilowicz, Marcin Sowanski, Piotr Czubowski, Artur Janicki:
Can We Use Probing to Better Understand Fine-tuning and Knowledge Distillation of the BERT NLU? CoRR abs/2301.11688 (2023) - 2022
- [c19]Pawel Szumelda, Natan Orzechowski, Mariusz Rawski, Artur Janicki:
VHS-22 - A Very Heterogeneous Set of Network Traffic Data for Threat Detection. EICC 2022: 72-78 - [c18]Mikolaj Pudo
Semi-Supervised Learning with Limited Data for Automatic Speech Recognition. RTSI 2022: 136-141 - [c17]Pawel Pardela
Federated Learning in Heterogeneous Data Settings for Virtual Assistants - A Case Study. TSD 2022: 451-463 - 2021
- [j16]Luca Caviglione
Tight Arms Race: Overview of Current Malware Threats and Trends in Their Detection. IEEE Access 9: 5371-5396 (2021) - [c16]Tomasz Koziak, Katarzyna Wasielewska, Artur Janicki:
How to Make an Intrusion Detection SystemAware of Steganographic Transmission. EICC 2021: 77-82 - 2020
- [j15]Monika Skowron, Artur Janicki
Traffic Fingerprinting Attacks on Internet of Things Using Machine Learning. IEEE Access 8: 20386-20400 (2020) - [c15]Mikolaj Pudo
Improved weighted loss function for training end-of-speech detection models. MoMM 2020: 25-29 - [c14]Marcin Sowanski
Leyzer: A Dataset for Multilingual Virtual Assistants. TDS 2020: 477-486 - [c13]Adrian Radej, Artur Janicki
Modification of Pitch Parameters in Speech Coding for Information Hiding. TDS 2020: 513-523
2010 – 2019
- 2019
- [j14]Artur Janicki, Wojciech Mazurczyk, Xiangyang Luo, Dengpan Ye:
Recent Advances in Detection, Investigation and Mitigation of Cyber Crimes. J. Univers. Comput. Sci. 25(9): 1039-1042 (2019) - [j13]Jedrzej Bieniasz, Monika Stepkowska, Artur Janicki, Krzysztof Szczypiorski:
Mobile Agents for Detecting Network Attacks Using Timing Covert Channels. J. Univers. Comput. Sci. 25(9): 1109-1130 (2019) - 2017
- [j12]Artur Janicki
Increasing anti-spoofing protection in speaker verification using linear prediction. Multim. Tools Appl. 76(6): 9017-9032 (2017) - [c12]Michal Lenarczyk, Artur Janicki
Voice conversion with pitch alteration using phase vocoder. SPA 2017: 73-77 - [c11]Kamil Sorokosz, Izabela Stefaniak, Artur Janicki
Synthetic Speech in Therapy of Auditory Hallucinations. TSD 2017: 83-91 - 2016
- [j11]Wojciech Mazurczyk
YouSkyde: information hiding for Skype video traffic. Multim. Tools Appl. 75(21): 13521-13540 (2016) - [j10]Wojciech Mazurczyk
Trends in modern information hiding: techniques, applications, and detection. Secur. Commun. Networks 9(8): 703-704 (2016) - [j9]Artur Janicki
Pitch-based steganography for Speex voice codec. Secur. Commun. Networks 9(15): 2923-2933 (2016) - [j8]Artur Janicki
An assessment of automatic speaker verification vulnerabilities to replay spoofing attacks. Secur. Commun. Networks 9(15): 3030-3044 (2016) - [i4]Wojciech Mazurczyk, Maciej Karas, Krzysztof Szczypiorski, Artur Janicki:
YouSkyde: Information Hiding for Skype Video Traffic. CoRR abs/1608.07337 (2016) - 2015
- [j7]Krzysztof Szczypiorski
"The Good, The Bad and The Ugly": Evaluation of Wi-Fi Steganography. J. Commun. 10(10): 747-752 (2015) - [j6]Artur Janicki
Why Do Older Adults Prefer Some Radio Stations? Helping to Increase Speech Understanding. J. Commun. 10(11): 926-931 (2015) - [j5]Artur Janicki
On the undetectability of transcoding steganography. Secur. Commun. Networks 8(18): 3804-3814 (2015) - [j4]Artur Janicki
Influence of speech codecs selection on transcoding steganography. Telecommun. Syst. 59(3): 305-315 (2015) - [c10]Artur Janicki
Novel Method of Hiding Information in IP Telephony Using Pitch Approximation. ARES 2015: 429-435 - [c9]Artur Janicki:
Spoofing countermeasure based on analysis of linear prediction error. INTERSPEECH 2015: 2077-2081 - [i3]Krzysztof Szczypiorski, Artur Janicki, Steffen Wendzel:
"The Good, The Bad And The Ugly": Evaluation of Wi-Fi Steganography. CoRR abs/1508.04978 (2015) - 2014
- [j3]Artur Janicki
Steganalysis of transcoding steganography. Ann. des Télécommunications 69(7-8): 449-460 (2014) - [c8]Federico Alegre, Artur Janicki, Nicholas W. D. Evans:
Re-assessing the threat of replay spoofing attacks against automatic speaker verification. BIOSIG 2014: 157-168 - 2013
- [j2]Jan Rybka, Artur Janicki
Comparison of speaker dependent and speaker independent emotion recognition. Int. J. Appl. Math. Comput. Sci. 23(4): 797-808 (2013) - [j1]Artur Janicki, Dariusz Wawer:
Voice-Driven Computer Game in Noisy Environments. Int. J. Comput. Sci. Appl. 10(1): 31-45 (2013) - [c7]Artur Janicki:
Non-linguistic vocalisation recognition based on hybrid GMM-SVM approach. INTERSPEECH 2013: 153-157 - 2012
- [c6]Artur Janicki:
SVM-based speaker verification for coded and uncoded speech. EUSIPCO 2012: 26-30 - [c5]Artur Janicki
On the Impact of Non-speech Sounds on Speaker Recognition. TSD 2012: 566-572 - [i2]Artur Janicki, Wojciech Mazurczyk, Krzysztof Szczypiorski:
Influence of Speech Codecs Selection on Transcoding Steganography. CoRR abs/1201.6218 (2012) - [i1]Artur Janicki, Wojciech Mazurczyk, Krzysztof Szczypiorski:
Steganalysis of Transcoding Steganography. CoRR abs/1210.5888 (2012) - 2011
- [c4]Artur Janicki, Dariusz Wawer:
Automatic Speech Recognition for Polish in a Computer Game Interface. FedCSIS 2011: 711-716 - [c3]Artur Janicki
Speaker Recognition from Coded Speech Using Support Vector Machines. TSD 2011: 291-298
2000 – 2009
- 2008
- [p1]Artur Janicki
Packet Loss Concealment Algorithm for VoIP Transmission in Unreliable Networks. New Trends in Multimedia and Network Information Systems 2008: 23-33 - 2005
- [c2]Artur Janicki, Piotr Herman:
Reconstruction of Polish diacritics in a text-to-speech system. INTERSPEECH 2005: 1489-1492 - 2000
- [c1]Artur Janicki:
Automatic construction of acoustic inventory for the concatenative speech synthesis for polish. INTERSPEECH 2000: 713-716
Coauthor Index
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