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2020 – today
- 2024
[j7]Javad Peymanfard, Samin Heydarian, Ali Lashini
, Hossein Zeinali, Mohammad Reza Mohammadi, Nasser Mozayani:
A multi-purpose audio-visual corpus for multi-modal Persian speech recognition: The Arman-AV dataset. Expert Syst. Appl. 238(Part E): 121648 (2024)- [c24]Seyed Ali Farokh, Hossein Zeinali:
ALF at SemEval-2024 Task 9: Exploring Lateral Thinking Capabilities of LMs through Multi-task Fine-tuning. SemEval@NAACL 2024: 1523-1528 - [i20]Hossein Zeinali, Kong Aik Lee, Jahangir Alam, Lukás Burget:
Text-dependent Speaker Verification (TdSV) Challenge 2024: Challenge Evaluation Plan. CoRR abs/2404.13428 (2024) - [i19]Amirreza Naziri, Hossein Zeinali:
A Comprehensive Approach to Misspelling Correction with BERT and Levenshtein Distance. CoRR abs/2407.17383 (2024) - 2023
- [c23]Mohammadreza Molavi, Hossein Zeinali:
SLT at SemEval-2023 Task 1: Enhancing Visual Word Sense Disambiguation through Image Text Retrieval using BLIP. SemEval@ACL 2023: 1921-1925 - [i18]Javad Peymanfard, Samin Heydarian, Ali Lashini, Hossein Zeinali, Mohammad Reza Mohammadi, Nasser Mozayani:
A Multi-Purpose Audio-Visual Corpus for Multi-Modal Persian Speech Recognition: the Arman-AV Dataset. CoRR abs/2301.10180 (2023) - [i17]Mohammd Hasan Shamgholi, Vahid Saeedi, Javad Peymanfard, Leila Alhabib, Hossein Zeinali:
ArmanTTS single-speaker Persian dataset. CoRR abs/2304.03585 (2023) - [i16]Javad Peymanfard, Ali Lashini, Samin Heydarian, Hossein Zeinali, Nasser Mozayani:
Word-level Persian Lipreading Dataset. CoRR abs/2304.04068 (2023) - [i15]Javad Peymanfard, Vahid Saeedi, Mohammad Reza Mohammadi, Hossein Zeinali, Nasser Mozayani:
Leveraging Visemes for Better Visual Speech Representation and Lip Reading. CoRR abs/2307.10157 (2023) - 2022
- [c22]Morteza Janatdoust, Fatemeh Ehsani-Besheli, Hossein Zeinali:
KADO@LT-EDI-ACL2022: BERT-based Ensembles for Detecting Signs of Depression from Social Media Text. LT-EDI 2022: 265-269 - [i14]Hossein Mirzaee, Javad Peymanfard, Hamid Habibzadeh Moshtaghin, Hossein Zeinali:
ArmanEmo: A Persian Dataset for Text-based Emotion Detection. CoRR abs/2207.11808 (2022) - 2021
- [c21]Niloofar Ranjbar, Hossein Zeinali:
Lotus at SemEval-2021 Task 2: Combination of BERT and Paraphrasing for English Word Sense Disambiguation. SemEval@ACL/IJCNLP 2021: 724-729 - [i13]Javad Peymanfard, Mohammad Reza Mohammadi, Hossein Zeinali, Nasser Mozayani:
Lip reading using external viseme decoding. CoRR abs/2104.04784 (2021) - 2020
- [j6]Pavel Matejka, Oldrich Plchot, Ondrej Glembek, Lukás Burget, Johan Rohdin, Hossein Zeinali, Ladislav Mosner, Anna Silnova, Ondrej Novotný, Mireia Díez, Jan Honza Cernocký:
13 years of speaker recognition research at BUT, with longitudinal analysis of NIST SRE. Comput. Speech Lang. 63: 101035 (2020) - [c20]Federico Landini, Shuai Wang, Mireia Díez, Lukás Burget, Pavel Matejka, Katerina Zmolíková, Ladislav Mosner, Anna Silnova, Oldrich Plchot, Ondrej Novotný, Hossein Zeinali, Johan Rohdin:
But System for the Second Dihard Speech Diarization Challenge. ICASSP 2020: 6529-6533 - [c19]Hossein Zeinali, Kong Aik Lee, Jahangir Alam, Lukás Burget:
SdSV Challenge 2020: Large-Scale Evaluation of Short-Duration Speaker Verification. INTERSPEECH 2020: 731-735 - [c18]Jahangir Alam, Gilles Boulianne, Lukás Burget, Mohamed Dahmane, Mireia Díez Sánchez, Alicia Lozano-Diez, Ondrej Glembek, Pierre-Luc St-Charles, Marc Lalonde, Pavel Matejka, Petr Mizera, João Monteiro, Ladislav Mosner, Cedric Noiseux, Ondrej Novotný, Oldrich Plchot, Johan Rohdin, Anna Silnova, Josef Slavícek, Themos Stafylakis, Shuai Wang, Hossein Zeinali:
Analysis of ABC Submission to NIST SRE 2019 CMN and VAST Challenge. Odyssey 2020: 289-295
2010 – 2019
- 2019
- [j5]Nooshin Maghsoodi, Hossein Sameti, Hossein Zeinali, Themos Stafylakis:
Speaker Recognition With Random Digit Strings Using Uncertainty Normalized HMM-Based i-Vectors. IEEE ACM Trans. Audio Speech Lang. Process. 27(11): 1815-1825 (2019) - [c17]Hossein Zeinali, Lukás Burget, Jan Honza Cernocký:
A Multi Purpose and Large Scale Speech Corpus in Persian and English for Speaker and Speech Recognition: The Deepmine Database. ASRU 2019: 397-402 - [c16]Johan Rohdin, Themos Stafylakis, Anna Silnova, Hossein Zeinali, Lukás Burget, Oldrich Plchot:
Speaker Verification Using End-to-end Adversarial Language Adaptation. ICASSP 2019: 6006-6010 - [c15]Hossein Zeinali, Lukás Burget, Johan Rohdin, Themos Stafylakis, Jan Honza Cernocký:
How to Improve Your Speaker Embeddings Extractor in Generic Toolkits. ICASSP 2019: 6141-6145 - [c14]Hossein Zeinali, Themos Stafylakis, Georgia Athanasopoulou, Johan Rohdin, Ioannis Gkinis, Lukás Burget, Jan Cernocký:
Detecting Spoofing Attacks Using VGG and SincNet: BUT-Omilia Submission to ASVspoof 2019 Challenge. INTERSPEECH 2019: 1073-1077 - [c13]Pavel Matejka, Oldrich Plchot, Hossein Zeinali, Ladislav Mosner, Anna Silnova, Lukás Burget, Ondrej Novotný, Ondrej Glembek:
Analysis of BUT Submission in Far-Field Scenarios of VOiCES 2019 Challenge. INTERSPEECH 2019: 2448-2452 - [c12]Pavel Matejka, Oldrich Plchot, Hossein Zeinali, Ladislav Mosner, Anna Silnova, Lukás Burget, Ondrej Novotný, Ondrej Glembek:
Analysis of BUT Submission in Far-Field Scenarios of VOiCES 2019 Challenge. INTERSPEECH 2019 - [i12]Nooshin Maghsoodi, Hossein Sameti, Hossein Zeinali, Themos Stafylakis:
Speaker Recognition with Random Digit Strings Using Uncertainty Normalized HMM-based i-vectors. CoRR abs/1907.06111 (2019) - [i11]Hossein Zeinali, Pavel Matejka, Ladislav Mosner, Oldrich Plchot, Anna Silnova, Ondrej Novotný, Ján Profant, Ondrej Glembek, Lukás Burget:
BUT VOiCES 2019 System Description. CoRR abs/1907.06112 (2019) - [i10]Hossein Zeinali, Lukás Burget, Jan Honza Cernocký:
Acoustic Scene Classification Using Fusion of Attentive Convolutional Neural Networks for DCASE2019 Challenge. CoRR abs/1907.07127 (2019) - [i9]Hossein Zeinali, Themos Stafylakis, Georgia Athanasopoulou, Johan Rohdin, Ioannis Gkinis, Lukás Burget, Jan Honza Cernocký:
Detecting Spoofing Attacks Using VGG and SincNet: BUT-Omilia Submission to ASVspoof 2019 Challenge. CoRR abs/1907.12908 (2019) - [i8]Hossein Zeinali, Shuai Wang, Anna Silnova, Pavel Matejka, Oldrich Plchot:
BUT System Description to VoxCeleb Speaker Recognition Challenge 2019. CoRR abs/1910.12592 (2019) - [i7]Hossein Zeinali, Lukás Burget, Jan Honza Cernocký:
A Multi Purpose and Large Scale Speech Corpus in Persian and English for Speaker and Speech Recognition: the DeepMine Database. CoRR abs/1912.03627 (2019) - [i6]Hossein Zeinali, Kong Aik Lee, Jahangir Alam, Lukás Burget:
Short-duration Speaker Verification (SdSV) Challenge 2020: the Challenge Evaluation Plan. CoRR abs/1912.06311 (2019) - 2018
- [j4]Hossein Zeinali, Bagher BabaAli, Hossein Hadian:
Online signature verification using i-vector representation. IET Biom. 7(5): 405-414 (2018) - [c11]Hossein Zeinali, Lukás Burget, Jan Honza Cernocký:
Convolutional neural networks and x-vector embedding for DCASE2018 Acoustic Scene Classification challenge. DCASE 2018: 202-206 - [c10]Hossein Zeinali, Lukás Burget, Hossein Sameti, Honza Cernocký:
Spoken Pass-Phrase Verification in the i-vector Space. Odyssey 2018: 372-377 - [c9]Hossein Zeinali, Hossein Sameti, Themos Stafylakis:
DeepMine Speech Processing Database: Text-Dependent and Independent Speaker Verification and Speech Recognition in Persian and English. Odyssey 2018: 386-392 - [i5]Hossein Zeinali, Lukás Burget, Hossein Sameti, Jan Cernocký:
Spoken Pass-Phrase Verification in the i-vector Space. CoRR abs/1809.11068 (2018) - [i4]Hossein Zeinali, Lukás Burget, Jan Cernocký:
Convolutional Neural Networks and x-vector Embedding for DCASE2018 Acoustic Scene Classification Challenge. CoRR abs/1810.04273 (2018) - [i3]Hossein Zeinali, Lukás Burget, Johan Rohdin, Themos Stafylakis, Jan Cernocký:
How to Improve Your Speaker Embeddings Extractor in Generic Toolkits. CoRR abs/1811.02066 (2018) - [i2]Johan Rohdin, Themos Stafylakis, Anna Silnova, Hossein Zeinali, Lukás Burget, Oldrich Plchot:
Speaker verification using end-to-end adversarial language adaptation. CoRR abs/1811.02331 (2018) - 2017
- [j3]Hossein Zeinali, Hossein Sameti, Lukás Burget, Jan Cernocký:
Text-dependent speaker verification based on i-vectors, Neural Networks and Hidden Markov Models. Comput. Speech Lang. 46: 53-71 (2017) - [j2]Hossein Zeinali, Hossein Sameti, Lukás Burget:
HMM-Based Phrase-Independent i-Vector Extractor for Text-Dependent Speaker Verification. IEEE ACM Trans. Audio Speech Lang. Process. 25(7): 1421-1435 (2017) - [c8]Hossein Zeinali, Bagher BabaAli:
On the Usage of I-Vector Representation for Online Handwritten Signature Verification. ICDAR 2017: 1243-1248 - [c7]Hossein Zeinali, Hossein Sameti, Nooshin Maghsoodi:
SUT Submission for NIST 2016 Speaker Recognition Evaluation: Description and Analysis. ROCLING 2017: 276-286 - [i1]Hossein Zeinali, Hossein Sameti, Nooshin Maghsoodi:
SUT System Description for NIST SRE 2016. CoRR abs/1706.05077 (2017) - 2016
- [c6]Nooshin Maghsoodi, Hossein Sameti, Hossein Zeinali:
Localized discriminative Gaussian process latent variable model for text-dependent speaker verification. ESANN 2016 - [c5]Hossein Zeinali, Hossein Sameti, Lukás Burget, Jan Cernocký, Nooshin Maghsoodi, Pavel Matejka:
i-Vector/HMM Based Text-Dependent Speaker Verification System for RedDots Challenge. INTERSPEECH 2016: 440-444 - [c4]Hossein Zeinali, Lukás Burget, Hossein Sameti, Ondrej Glembek, Oldrich Plchot:
Deep Neural Networks and Hidden Markov Models in i-vector-based Text-Dependent Speaker Verification. Odyssey 2016: 24-30 - 2015
- [j1]Hossein Zeinali, Alireza Mirian, Hossein Sameti, Bagher BabaAli:
Non-speaker information reduction from Cosine Similarity Scoring in i-vector based speaker verification. Comput. Electr. Eng. 48: 226-238 (2015) - [c3]Elaheh Kalantari, Hossein Sameti, Hossein Zeinali:
Speaker models reduction for optimized telephony text-prompted speaker verification. CCECE 2015: 1470-1474 - [c2]Hossein Zeinali, Elaheh Kalantari, Hossein Sameti, Hossein Hadian:
Telephony text-prompted speaker verification using i-vector representation. ICASSP 2015: 4839-4843 - 2012
- [c1]Hossein Zeinali, Hossein Sameti, Hossein Khaki, Bagher BabaAli:
A fast two-level Speaker Identification method employing sparse representation and GMM-based methods. ISSPA 2012: 45-48
Coauthor Index
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