| BUT System for Low Resource Indian Language ASR B Pulugundla, MK Baskar, S Kesiraju, E Egorova, M Karafiát, L Burget, ... Proc. Interspeech 2018, 3182-3186, 2018 | 40 | 2018 |
| BAT system description for NIST LRE 2015 O Plchot, P Matejka, O Glembek, R Fer, O Novotny, J Pesan, L Burget, ... Proc. Odyssey 2016, 166-173, 2016 | 25 | 2016 |
| The Blizzard Challenge 2014 K Prahallad, A Vadapalli, S Kesiraju, HA Murthy, S Lata, T Nagarajan, ... in Proceedings Blizzard Workshop 2014, 2014 | 22 | 2014 |
| Automatic processing pipeline for collecting and annotating air-traffic voice communication data M Kocour, K Veselý, I Szöke, S Kesiraju, J Zuluaga-Gomez, A Blatt, ... Engineering Proceedings 13 (1), 8, 2021 | 15 | 2021 |
| Analysis of BUT-PT Submission for NIST LRE 2017 O Plchot, P Matejka, O Novotný, S Cumani, A Lozano-Diez, J Slavicek, ... Proc. Odyssey 2018 The Speaker and Language Recognition Workshop, 47-53, 2018 | 15 | 2018 |
| An empirical evaluation of zero resource acoustic unit discovery C Liu, J Yang, M Sun, S Kesiraju, A Rott, L Ondel, P Ghahremani, ... 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 15 | 2017 |
| Learning document embeddings along with their uncertainties S Kesiraju, O Plchot, L Burget, SV Gangashetty IEEE/ACM Transactions on Audio, Speech and Language Processing, 2020 | 14 | 2020 |
| Topic identification of spoken documents using unsupervised acoustic unit discovery S Kesiraju, R Pappagari, L Ondel, L Burget, N Dehak, S Khudanpur, ... IEEE International Conference on Acoustics, Speech and Signal Processing, 2017 | 14 | 2017 |
| Bayesian joint-sequence models for grapheme-to-phoneme conversion M Hannemann, J Trmal, L Ondel, S Kesiraju, L Burget 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 13 | 2017 |
| Bayesian phonotactic language model for acoustic unit discovery L Ondel, L Burget, J Černocký, S Kesiraju 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 13 | 2017 |
| Learning document representations using subspace multinomial model S Kesiraju, L Burget, S Igor, J Cernocky Proc. of Interspeech 2016, 700--704, 2016 | 12 | 2016 |
| Zero-Time Windowing Cepstral Coefficients for Dialect Classification R Kethireddy, SR Kadiri, S Kesiraju, SV Gangashetty Proc. Odyssey 2020 The Speaker and Language Recognition Workshop, 32-38, 2020 | 10 | 2020 |
| Detecting English speech in the air traffic control voice communication I Szoke, S Kesiraju, O Novotny, M Kocour, K Vesely, J Cernocky Proc. Interspeech 2021, 3286--3290, 2021 | 9 | 2021 |
| IIIT-H System for MediaEval 2014 QUESST S Kesiraju, G Mantena, K Prahallad Working Notes Proceedings of the MediaEval 2014 Workshop, Barcelona …, 2014 | 9 | 2014 |
| i-Vectors in language modeling: An efficient way of domain adaptation for feed-forward models K Beneš, S Kesiraju, L Burget Proc. Interspeech 2018, 3383-3387, 2018 | 7 | 2018 |
| BUT-PT system description for NIST LRE 2017 P Matejka, O Plchot, O Novotný, S Cumani, A Lozano-Diez, J Slavıcek, ... National Institute of Standard and Technology, 2017 | 5 | 2017 |
| Strategies for improving low resource speech to text translation relying on pre-trained ASR models S Kesiraju, M Sarvas, T Pavlicek, C Macaire, A Ciuba Proc. of Interspeech 2023, 2148--2152, 2023 | 3 | 2023 |
| Resources and benchmarks for keyword search in spoken audio from low-resource indian languages VLV Nadimpalli, S Kesiraju, R Banka, R Kethireddy, SV Gangashetty IEEE Access 10, 34789-34799, 2022 | 2 | 2022 |
| Fit but at semeval-2023 task 12: Sentiment without borders-multilingual domain adaptation for low-resource sentiment classification M Aparovich, S Kesiraju, A Dufkova, P Smrz Proceedings of the 17th International Workshop on Semantic Evaluation …, 2023 | 1 | 2023 |
| Beyond the Labels: Unveiling Text-Dependency in Paralinguistic Speech Recognition Datasets J Pešán, S Kesiraju, L Burget, JH Černocký arXiv preprint arXiv:2403.07767, 2024 | | 2024 |
Lukas BurgetBrno University of TechnologyVerified email at fit.vutbr.cz
