Ivan Kukanov
Orcid: 0000-0003-4052-2754
According to our database1,
Ivan Kukanov
authored at least 19 papers
between 2015 and 2026.
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Bibliography
2026
ASVspoof 5: Design, collection and validation of resources for spoofing, deepfake, and adversarial attack detection using crowdsourced speech.
Comput. Speech Lang., 2026
2025
2024
ASVspoof 5: Design, Collection and Validation of Resources for Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech.
Dataset, December, 2024
CoRR, 2024
Towards Quantifying and Reducing Language Mismatch Effects in Cross-Lingual Speech Anti-Spoofing.
Proceedings of the IEEE Spoken Language Technology Workshop, 2024
Proceedings of the IEEE Spoken Language Technology Workshop, 2024
2022
Proceedings of the IEEE Spoken Language Technology Workshop, 2022
2020
Maximal Figure-of-Merit Framework to Detect Multi-Label Phonetic Features for Spoken Language Recognition.
IEEE ACM Trans. Audio Speech Lang. Process., 2020
Proceedings of the AsianCHI '20: Proceedings of the 2020 Symposium on Emerging Research from Asia and on Asian Contexts and Cultures, 2020
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020
2019
CoRR, 2019
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019
2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
2016
Deep learning with maximal figure-of-merit cost to advance multi-label speech attribute detection.
Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016
The 2015 NIST Language Recognition Evaluation: The Shared View of I2R, Fantastic4 and SingaMS.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016
Utterance Verification for Text-Dependent Speaker Recognition: A Comparative Assessment Using the RedDots Corpus.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016
2015
Boosting universal speech attributes classification with deep neural network for foreign accent characterization.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015