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2020 – today
- 2024
[j9]Saurabh Kataria
, Jesús Villalba, Laureano Moro-Velázquez, Piotr Zelasko, Najim Dehak:
Time-Domain Speech Super-Resolution With GAN Based Modeling for Telephony Speaker Verification. IEEE ACM Trans. Audio Speech Lang. Process. 32: 1736-1749 (2024)- [j8]Saurabhchand Bhati, Jesús Villalba, Piotr Zelasko, Laureano Moro-Velázquez, Najim Dehak:
Slowness Regularized Contrastive Predictive Coding for Acoustic Unit Discovery. IEEE ACM Trans. Audio Speech Lang. Process. 32: 4277-4287 (2024) - [i36]Krishna C. Puvvada, Piotr Zelasko, He Huang, Oleksii Hrinchuk, Nithin Rao Koluguri, Kunal Dhawan, Somshubra Majumdar, Elena Rastorgueva, Zhehuai Chen, Vitaly Lavrukhin, Jagadeesh Balam, Boris Ginsburg:
Less is More: Accurate Speech Recognition & Translation without Web-Scale Data. CoRR abs/2406.19674 (2024) - [i35]Zhehuai Chen, He Huang, Oleksii Hrinchuk, Krishna C. Puvvada, Nithin Rao Koluguri, Piotr Zelasko, Jagadeesh Balam, Boris Ginsburg:
BESTOW: Efficient and Streamable Speech Language Model with the Best of Two Worlds in GPT and T5. CoRR abs/2406.19954 (2024) - [i34]Chao-Han Huck Yang, Taejin Park, Yuan Gong, Yuanchao Li, Zhehuai Chen, Yen-Ting Lin, Chen Chen, Yuchen Hu, Kunal Dhawan, Piotr Zelasko, Chao Zhang, Yun-Nung Chen, Yu Tsao, Jagadeesh Balam, Boris Ginsburg, Sabato Marco Siniscalchi, Eng Siong Chng, Peter Bell, Catherine Lai, Shinji Watanabe, Andreas Stolcke:
Large Language Model Based Generative Error Correction: A Challenge and Baselines for Speech Recognition, Speaker Tagging, and Emotion Recognition. CoRR abs/2409.09785 (2024) - [i33]Ke Hu, Zhehuai Chen, Chao-Han Huck Yang, Piotr Zelasko, Oleksii Hrinchuk, Vitaly Lavrukhin, Jagadeesh Balam, Boris Ginsburg:
Chain-of-Thought Prompting for Speech Translation. CoRR abs/2409.11538 (2024) - [i32]Piotr Zelasko, Zhehuai Chen, Mengru Wang, Daniel Galvez, Oleksii Hrinchuk, Shuoyang Ding, Ke Hu, Jagadeesh Balam, Vitaly Lavrukhin, Boris Ginsburg:
EMMeTT: Efficient Multimodal Machine Translation Training. CoRR abs/2409.13523 (2024) - [i31]Yifan Peng, Krishna C. Puvvada, Zhehuai Chen, Piotr Zelasko, He Huang, Kunal Dhawan, Ke Hu, Shinji Watanabe, Jagadeesh Balam, Boris Ginsburg:
VoiceTextBlender: Augmenting Large Language Models with Speech Capabilities via Single-Stage Joint Speech-Text Supervised Fine-Tuning. CoRR abs/2410.17485 (2024) - 2023
- [c35]Piotr Szymanski, Lukasz Augustyniak, Mikolaj Morzy, Adrian Szymczak, Krzysztof Surdyk, Piotr Zelasko:
Why Aren't We NER Yet? Artifacts of ASR Errors in Named Entity Recognition in Spontaneous Speech Transcripts. ACL (1) 2023: 1746-1761 - [c34]Liyong Guo, Xiaoyu Yang, Quandong Wang, Yuxiang Kong, Zengwei Yao, Fan Cui, Fangjun Kuang, Wei Kang, Long Lin, Mingshuang Luo, Piotr Zelasko, Daniel Povey:
Predicting Multi-Codebook Vector Quantization Indexes for Knowledge Distillation. ICASSP 2023: 1-5 - [c33]Wei Kang, Liyong Guo, Fangjun Kuang, Long Lin, Mingshuang Luo, Zengwei Yao, Xiaoyu Yang, Piotr Zelasko, Daniel Povey:
Fast and Parallel Decoding for Transducer. ICASSP 2023: 1-5 - [c32]Wei Kang, Zengwei Yao, Fangjun Kuang, Liyong Guo, Xiaoyu Yang, Long Lin, Piotr Zelasko, Daniel Povey:
Delay-Penalized Transducer for Low-Latency Streaming ASR. ICASSP 2023: 1-5 - 2022
- [j7]Piotr Zelasko, Siyuan Feng, Laureano Moro-Velázquez, Ali Abavisani, Saurabhchand Bhati, Odette Scharenborg, Mark Hasegawa-Johnson, Najim Dehak:
Discovering phonetic inventories with crosslingual automatic speech recognition. Comput. Speech Lang. 74: 101358 (2022) - [j6]Saurabhchand Bhati, Jesús Villalba, Piotr Zelasko, Laureano Moro-Velázquez, Najim Dehak:
Unsupervised Speech Segmentation and Variable Rate Representation Learning Using Segmental Contrastive Predictive Coding. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2002-2014 (2022) - [c31]Jaejin Cho, Raghavendra Pappagari, Piotr Zelasko, Laureano Moro-Velázquez, Jesús Villalba, Najim Dehak:
Non-contrastive self-supervised learning of utterance-level speech representations. INTERSPEECH 2022: 4028-4032 - [c30]Sonal Joshi, Saurabh Kataria, Yiwen Shao, Piotr Zelasko, Jesús Villalba, Sanjeev Khudanpur, Najim Dehak:
Defense against Adversarial Attacks on Hybrid Speech Recognition System using Adversarial Fine-tuning with Denoiser. INTERSPEECH 2022: 5035-5039 - [c29]Tianyu Cao, Laureano Moro-Velázquez, Piotr Zelasko, Jesús Villalba, Najim Dehak:
Vsameter: Evaluation of a New Open-Source Tool to Measure Vowel Space Area and Related Metrics. SLT 2022: 517-524 - [i30]Piotr Zelasko, Siyuan Feng, Laureano Moro-Velázquez, Ali Abavisani, Saurabhchand Bhati, Odette Scharenborg, Mark Hasegawa-Johnson, Najim Dehak:
Discovering Phonetic Inventories with Crosslingual Automatic Speech Recognition. CoRR abs/2201.11207 (2022) - [i29]Sonal Joshi, Saurabh Kataria, Yiwen Shao, Piotr Zelasko, Jesús Villalba, Sanjeev Khudanpur, Najim Dehak:
Defense against Adversarial Attacks on Hybrid Speech Recognition using Joint Adversarial Fine-tuning with Denoiser. CoRR abs/2204.03851 (2022) - [i28]Jaejin Cho, Raghavendra Pappagari, Piotr Zelasko, Laureano Moro-Velázquez, Jesús Villalba, Najim Dehak:
Non-Contrastive Self-Supervised Learning of Utterance-Level Speech Representations. CoRR abs/2208.05413 (2022) - [i27]Wei Kang, Liyong Guo, Fangjun Kuang, Long Lin, Mingshuang Luo, Zengwei Yao, Xiaoyu Yang, Piotr Zelasko, Daniel Povey:
Fast and parallel decoding for transducer. CoRR abs/2211.00484 (2022) - [i26]Wei Kang, Zengwei Yao, Fangjun Kuang, Liyong Guo, Xiaoyu Yang, Long Lin, Piotr Zelasko, Daniel Povey:
Delay-penalized transducer for low-latency streaming ASR. CoRR abs/2211.00490 (2022) - [i25]Liyong Guo, Xiaoyu Yang, Quandong Wang, Yuxiang Kong, Zengwei Yao, Fan Cui, Fangjun Kuang, Wei Kang, Long Lin, Mingshuang Luo, Piotr Zelasko, Daniel Povey:
Predicting Multi-Codebook Vector Quantization Indexes for Knowledge Distillation. CoRR abs/2211.00508 (2022) - 2021
- [j5]Nanxin Chen, Shinji Watanabe, Jesús Villalba, Piotr Zelasko, Najim Dehak:
Non-Autoregressive Transformer for Speech Recognition. IEEE Signal Process. Lett. 28: 121-125 (2021) - [j4]Piotr Zelasko, Raghavendra Pappagari, Najim Dehak:
What Helps Transformers Recognize Conversational Structure? Importance of Context, Punctuation, and Labels in Dialog Act Recognition. Trans. Assoc. Comput. Linguistics 9: 1163-1179 (2021) - [j3]Sonal Joshi, Jesús Villalba, Piotr Zelasko, Laureano Moro-Velázquez, Najim Dehak:
Study of Pre-Processing Defenses Against Adversarial Attacks on State-of-the-Art Speaker Recognition Systems. IEEE Trans. Inf. Forensics Secur. 16: 4811-4826 (2021) - [c28]Raghavendra Pappagari, Piotr Zelasko, Jesús Villalba, Laureano Moro-Velázquez, Najim Dehak:
Beyond Isolated Utterances: Conversational Emotion Recognition. ASRU 2021: 39-46 - [c27]Raghavendra Pappagari, Piotr Zelasko, Agnieszka Mikolajczyk, Piotr Pezik, Najim Dehak:
Joint Prediction of Truecasing and Punctuation for Conversational Speech in Low-Resource Scenarios. ASRU 2021: 1185-1191 - [c26]Nanxin Chen, Piotr Zelasko, Jesús Villalba, Najim Dehak:
Focus on the Present: A Regularization Method for the ASR Source-Target Attention Layer. ICASSP 2021: 5994-5998 - [c25]Raghavendra Pappagari, Jesús Villalba, Piotr Zelasko, Laureano Moro-Velázquez, Najim Dehak:
CopyPaste: An Augmentation Method for Speech Emotion Recognition. ICASSP 2021: 6324-6328 - [c24]Jaejin Cho, Piotr Zelasko, Jesús Villalba, Najim Dehak:
Improving Reconstruction Loss Based Speaker Embedding in Unsupervised and Semi-Supervised Scenarios. ICASSP 2021: 6733-6737 - [c23]Siyuan Feng, Piotr Zelasko, Laureano Moro-Velázquez, Ali Abavisani, Mark Hasegawa-Johnson, Odette Scharenborg, Najim Dehak:
How Phonotactics Affect Multilingual and Zero-Shot ASR Performance. ICASSP 2021: 7238-7242 - [c22]Saurabhchand Bhati, Jesús Villalba, Piotr Zelasko, Laureano Moro-Velázquez, Najim Dehak:
Segmental Contrastive Predictive Coding for Unsupervised Word Segmentation. Interspeech 2021: 366-370 - [c21]Magdalena Rybicka, Jesús Villalba, Piotr Zelasko, Najim Dehak, Konrad Kowalczyk:
Spine2Net: SpineNet with Res2Net and Time-Squeeze-and-Excitation Blocks for Speaker Recognition. Interspeech 2021: 496-500 - [c20]Saurabh Kataria, Jesús Villalba, Piotr Zelasko, Laureano Moro-Velázquez, Najim Dehak:
Deep Feature CycleGANs: Speaker Identity Preserving Non-Parallel Microphone-Telephone Domain Adaptation for Speaker Verification. Interspeech 2021: 1079-1083 - [c19]Siyuan Feng, Piotr Zelasko, Laureano Moro-Velázquez, Odette Scharenborg:
Unsupervised Acoustic Unit Discovery by Leveraging a Language-Independent Subword Discriminative Feature Representation. Interspeech 2021: 1534-1538 - [c18]Miguel Del Rio, Natalie Delworth, Ryan Westerman, Michelle Huang, Nishchal Bhandari, Joseph Palakapilly, Quinten McNamara, Joshua Dong, Piotr Zelasko, Miguel Jette:
Earnings-21: A Practical Benchmark for ASR in the Wild. Interspeech 2021: 3465-3469 - [c17]Nanxin Chen, Piotr Zelasko, Laureano Moro-Velázquez, Jesús Villalba, Najim Dehak:
Align-Denoise: Single-Pass Non-Autoregressive Speech Recognition. Interspeech 2021: 3770-3774 - [c16]Raghavendra Pappagari, Jaejin Cho, Sonal Joshi, Laureano Moro-Velázquez, Piotr Zelasko, Jesús Villalba, Najim Dehak:
Automatic Detection and Assessment of Alzheimer Disease Using Speech and Language Technologies in Low-Resource Scenarios. Interspeech 2021: 3825-3829 - [c15]Jesús Villalba, Sonal Joshi, Piotr Zelasko, Najim Dehak:
Representation Learning to Classify and Detect Adversarial Attacks Against Speaker and Speech Recognition Systems. Interspeech 2021: 4304-4308 - [i24]Sonal Joshi, Jesús Villalba, Piotr Zelasko, Laureano Moro-Velázquez, Najim Dehak:
Adversarial Attacks and Defenses for Speaker Identification Systems. CoRR abs/2101.08909 (2021) - [i23]Piotr Zelasko, Sonal Joshi, Yiwen Shao, Jesús Villalba, Jan Trmal, Najim Dehak, Sanjeev Khudanpur:
Adversarial Attacks and Defenses for Speech Recognition Systems. CoRR abs/2103.17122 (2021) - [i22]Siyuan Feng, Piotr Zelasko, Laureano Moro-Velázquez, Odette Scharenborg:
Unsupervised Acoustic Unit Discovery by Leveraging a Language-Independent Subword Discriminative Feature Representation. CoRR abs/2104.00994 (2021) - [i21]Miguel Del Rio, Natalie Delworth, Ryan Westerman, Michelle Huang, Nishchal Bhandari, Joseph Palakapilly, Quinten McNamara, Joshua Dong, Piotr Zelasko, Miguel Jette:
Earnings-21: A Practical Benchmark for ASR in the Wild. CoRR abs/2104.11348 (2021) - [i20]Saurabhchand Bhati, Jesús Villalba, Piotr Zelasko, Laureano Moro-Velázquez, Najim Dehak:
Segmental Contrastive Predictive Coding for Unsupervised Word Segmentation. CoRR abs/2106.02170 (2021) - [i19]Piotr Zelasko, Raghavendra Pappagari, Najim Dehak:
What Helps Transformers Recognize Conversational Structure? Importance of Context, Punctuation, and Labels in Dialog Act Recognition. CoRR abs/2107.02294 (2021) - [i18]Raghavendra Pappagari, Piotr Zelasko, Agnieszka Mikolajczyk, Piotr Pezik, Najim Dehak:
Joint prediction of truecasing and punctuation for conversational speech in low-resource scenarios. CoRR abs/2109.06103 (2021) - [i17]Raghavendra Pappagari, Piotr Zelasko, Jesús Villalba, Laureano Moro-Velázquez, Najim Dehak:
Beyond Isolated Utterances: Conversational Emotion Recognition. CoRR abs/2109.06112 (2021) - [i16]Saurabhchand Bhati, Jesús Villalba, Piotr Zelasko, Laureano Moro-Velázquez, Najim Dehak:
Unsupervised Speech Segmentation and Variable Rate Representation Learning using Segmental Contrastive Predictive Coding. CoRR abs/2110.02345 (2021) - [i15]Piotr Zelasko, Daniel Povey, Jan "Yenda" Trmal, Sanjeev Khudanpur:
Lhotse: a speech data representation library for the modern deep learning ecosystem. CoRR abs/2110.12561 (2021) - 2020
- [c14]Piotr Szymanski, Piotr Zelasko, Mikolaj Morzy, Adrian Szymczak, Marzena Zyla-Hoppe, Joanna Banaszczak, Lukasz Augustyniak, Jan Mizgajski, Yishay Carmiel:
WER we are and WER we think we are. EMNLP (Findings) 2020: 3290-3295 - [c13]Jaejin Cho, Piotr Zelasko, Jesús Villalba, Shinji Watanabe, Najim Dehak:
Learning Speaker Embedding from Text-to-Speech. INTERSPEECH 2020: 3256-3260 - [c12]Piotr Zelasko, Laureano Moro-Velázquez, Mark Hasegawa-Johnson, Odette Scharenborg, Najim Dehak:
That Sounds Familiar: An Analysis of Phonetic Representations Transfer Across Languages. INTERSPEECH 2020: 3705-3709 - [c11]Saurabhchand Bhati, Jesús Villalba, Piotr Zelasko, Najim Dehak:
Self-Expressing Autoencoders for Unsupervised Spoken Term Discovery. INTERSPEECH 2020: 4876-4880 - [c10]Lukasz Augustyniak, Piotr Szymanski, Mikolaj Morzy, Piotr Zelasko, Adrian Szymczak, Jan Mizgajski, Yishay Carmiel, Najim Dehak:
Punctuation Prediction in Spontaneous Conversations: Can We Mitigate ASR Errors with Retrofitted Word Embeddings? INTERSPEECH 2020: 4906-4910 - [i14]Lukasz Augustyniak, Piotr Szymanski, Mikolaj Morzy, Piotr Zelasko, Adrian Szymczak, Jan Mizgajski, Yishay Carmiel, Najim Dehak:
Punctuation Prediction in Spontaneous Conversations: Can We Mitigate ASR Errors with Retrofitted Word Embeddings? CoRR abs/2004.05985 (2020) - [i13]Piotr Zelasko, Laureano Moro-Velázquez, Mark Hasegawa-Johnson, Odette Scharenborg, Najim Dehak:
That Sounds Familiar: an Analysis of Phonetic Representations Transfer Across Languages. CoRR abs/2005.08118 (2020) - [i12]Ashish Arora, Desh Raj, Aswin Shanmugam Subramanian, Ke Li, Bar Ben-Yair, Matthew Maciejewski, Piotr Zelasko, Paola García, Shinji Watanabe, Sanjeev Khudanpur:
The JHU Multi-Microphone Multi-Speaker ASR System for the CHiME-6 Challenge. CoRR abs/2006.07898 (2020) - [i11]Saurabhchand Bhati, Jesús Villalba, Piotr Zelasko, Najim Dehak:
Self-Expressing Autoencoders for Unsupervised Spoken Term Discovery. CoRR abs/2007.13033 (2020) - [i10]Piotr Szymanski, Piotr Zelasko, Mikolaj Morzy, Adrian Szymczak, Marzena Zyla-Hoppe, Joanna Banaszczak, Lukasz Augustyniak, Jan Mizgajski, Yishay Carmiel:
WER we are and WER we think we are. CoRR abs/2010.03432 (2020) - [i9]Jaejin Cho, Piotr Zelasko, Jesús Villalba, Shinji Watanabe, Najim Dehak:
Learning Speaker Embedding from Text-to-Speech. CoRR abs/2010.11221 (2020) - [i8]Siyuan Feng, Piotr Zelasko, Laureano Moro-Velázquez, Ali Abavisani, Mark Hasegawa-Johnson, Odette Scharenborg, Najim Dehak:
How Phonotactics Affect Multilingual and Zero-shot ASR Performance. CoRR abs/2010.12104 (2020) - [i7]Raghavendra Pappagari, Jesús Villalba, Piotr Zelasko, Laureano Moro-Velázquez, Najim Dehak:
CopyPaste: An Augmentation Method for Speech Emotion Recognition. CoRR abs/2010.14602 (2020) - [i6]Nanxin Chen, Piotr Zelasko, Jesús Villalba, Najim Dehak:
Focus on the present: a regularization method for the ASR source-target attention layer. CoRR abs/2011.01210 (2020)
2010 – 2019
- 2019
- [c9]Raghavendra Pappagari, Piotr Zelasko, Jesús Villalba, Yishay Carmiel, Najim Dehak:
Hierarchical Transformers for Long Document Classification. ASRU 2019: 838-844 - [c8]Jan Mizgajski, Adrian Szymczak, Robert Glowski, Piotr Szymanski, Piotr Zelasko, Lukasz Augustyniak, Mikolaj Morzy, Yishay Carmiel, Jeff Hodson, Lukasz Wójciak, Daniel Smoczyk, Adam Wróbel, Bartosz Borowik, Adam Artajew, Marcin Baran, Cezary Kwiatkowski, Marzena Zyla-Hoppe:
Avaya Conversational Intelligence: A Real-Time System for Spoken Language Understanding in Human-Human Call Center Conversations. INTERSPEECH 2019: 3659-3660 - [i5]Piotr Zelasko, Jan Mizgajski, Mikolaj Morzy, Adrian Szymczak, Piotr Szymanski, Lukasz Augustyniak, Yishay Carmiel:
Towards Better Understanding of Spontaneous Conversations: Overcoming Automatic Speech Recognition Errors With Intent Recognition. CoRR abs/1908.07888 (2019) - [i4]Jan Mizgajski, Adrian Szymczak, Robert Glowski, Piotr Szymanski, Piotr Zelasko, Lukasz Augustyniak, Mikolaj Morzy, Yishay Carmiel, Jeff Hodson, Lukasz Wójciak, Daniel Smoczyk, Adam Wróbel, Bartosz Borowik, Adam Artajew, Marcin Baran, Cezary Kwiatkowski, Marzena Zyla-Hoppe:
Avaya Conversational Intelligence: A Real-Time System for Spoken Language Understanding in Human-Human Call Center Conversations. CoRR abs/1909.02851 (2019) - [i3]Raghavendra Pappagari, Piotr Zelasko, Jesús Villalba, Yishay Carmiel, Najim Dehak:
Hierarchical Transformers for Long Document Classification. CoRR abs/1910.10781 (2019) - 2018
- [c7]Piotr Zelasko, Piotr Szymanski, Jan Mizgajski, Adrian Szymczak, Yishay Carmiel, Najim Dehak:
Punctuation Prediction Model for Conversational Speech. INTERSPEECH 2018: 2633-2637 - [c6]Piotr Zelasko:
Expanding Abbreviations in a Strongly Inflected Language: Are Morphosyntactic Tags Sufficient? LREC 2018 - [c5]Bartosz Ziólko, Piotr Zelasko, Ireneusz Gawlik, Tomasz Pedzimaz, Tomasz Jadczyk:
An Application for Building a Polish Telephone Speech Corpus. LREC 2018 - [i2]Piotr Zelasko, Piotr Szymanski, Jan Mizgajski, Adrian Szymczak, Yishay Carmiel, Najim Dehak:
Punctuation Prediction Model for Conversational Speech. CoRR abs/1807.00543 (2018) - 2017
- [c4]Marcin Witkowski, Stanislaw Kacprzak, Piotr Zelasko, Konrad Kowalczyk, Jakub Galka:
Audio Replay Attack Detection Using High-Frequency Features. INTERSPEECH 2017: 27-31 - [i1]Piotr Zelasko:
LSTM Network for Inflected Abbreviation Expansion. CoRR abs/1708.05992 (2017) - 2016
- [j2]Magdalena Igras, Bartosz Ziólko, Piotr Zelasko, Marcin Witkowski:
Structure of pauses in speech in the context of speaker verification and classification of speech type. EURASIP J. Audio Speech Music. Process. 2016: 18 (2016) - [j1]Piotr Zelasko, Bartosz Ziólko, Tomasz Jadczyk, Dawid Skurzok:
AGH corpus of Polish speech. Lang. Resour. Evaluation 50(3): 585-601 (2016) - 2015
- [c3]Piotr Zelasko, Bartosz Ziólko, Tomasz Jadczyk, Tomasz Pedzimaz:
Linguistically motivated tied-state triphones for polish speech recognition. CYBCONF 2015: 251-254 - [c2]Bartosz Ziólko, Tomasz Jadczyk, Dawid Skurzok, Piotr Zelasko, Jakub Galka, Tomasz Pedzimaz, Ireneusz Gawlik, Szymon Piotr Palka:
SARMATA 2.0 automatic Polish language speech recognition system. INTERSPEECH 2015: 1062-1063 - 2014
- [c1]Piotr Zelasko, Tomasz Jadczyk, Bartosz Ziólko:
HMM-based Breath and Filled Pauses Elimination in ASR. SIGMAP 2014: 255-260
Coauthor Index
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