HMM-based Breath and Filled Pauses Elimination in ASR. - Piotr Zelasko; Tomasz Jadczyk; Bartosz Ziólko (SIGMAP, 2014)

Linguistically motivated tied-state triphones for polish speech recognition. - Piotr Zelasko; Bartosz Ziólko; Tomasz Jadczyk; Tomasz Pedzimaz (CYBCONF, 2015)

SARMATA 2.0 automatic Polish language speech recognition system. - Bartosz Ziólko; Tomasz Jadczyk; Dawid Skurzok; Piotr Zelasko; Jakub Galka; Tomasz Pedzimaz; Ireneusz Gawlik; Szymon Piotr Palka (INTERSPEECH, 2015)

Structure of pauses in speech in the context of speaker verification and classification of speech type. - Magdalena Igras; Bartosz Ziólko; Piotr Zelasko; Marcin Witkowski (EURASIP J. Audio Speech Music. Process., 2016)

AGH corpus of Polish speech. - Piotr Zelasko; Bartosz Ziólko; Tomasz Jadczyk; Dawid Skurzok (Lang. Resour. Evaluation, 2016)

Audio Replay Attack Detection Using High-Frequency Features. - Marcin Witkowski; Stanislaw Kacprzak; Piotr Zelasko; Konrad Kowalczyk; Jakub Galka (INTERSPEECH, 2017)

LSTM Network for Inflected Abbreviation Expansion. - Piotr Zelasko (CoRR, 2017)

Punctuation Prediction Model for Conversational Speech. - Piotr Zelasko; Piotr Szymanski; Jan Mizgajski; Adrian Szymczak; Yishay Carmiel; Najim Dehak (INTERSPEECH, 2018)

Expanding Abbreviations in a Strongly Inflected Language: Are Morphosyntactic Tags Sufficient? - Piotr Zelasko (LREC, 2018)

An Application for Building a Polish Telephone Speech Corpus. - Bartosz Ziólko; Piotr Zelasko; Ireneusz Gawlik; Tomasz Pedzimaz; Tomasz Jadczyk (LREC, 2018)

Hierarchical Transformers for Long Document Classification. - Raghavendra Pappagari; Piotr Zelasko; Jesús Villalba 001; Yishay Carmiel; Najim Dehak (ASRU, 2019)

Avaya Conversational Intelligence: A Real-Time System for Spoken Language Understanding in Human-Human Call Center Conversations. - Jan Mizgajski; Adrian Szymczak; Robert Glowski; Piotr Szymanski; Piotr Zelasko; Lukasz Augustyniak; Mikolaj Morzy; Yishay Carmiel; Jeff Hodson; Lukasz Wójciak; Daniel Smoczyk; Adam Wróbel; et al. (INTERSPEECH, 2019)

Towards Better Understanding of Spontaneous Conversations: Overcoming Automatic Speech Recognition Errors With Intent Recognition. - Piotr Zelasko; Jan Mizgajski; Mikolaj Morzy; Adrian Szymczak; Piotr Szymanski; Lukasz Augustyniak; Yishay Carmiel (CoRR, 2019)

WER we are and WER we think we are. - Piotr Szymanski; Piotr Zelasko; Mikolaj Morzy; Adrian Szymczak; Marzena Zyla-Hoppe; Joanna Banaszczak; Lukasz Augustyniak; Jan Mizgajski; Yishay Carmiel (EMNLP (Findings), 2020)

Punctuation Prediction in Spontaneous Conversations: Can We Mitigate ASR Errors with Retrofitted Word Embeddings? - Lukasz Augustyniak; Piotr Szymanski; Mikolaj Morzy; Piotr Zelasko; Adrian Szymczak; Jan Mizgajski; Yishay Carmiel; Najim Dehak (INTERSPEECH, 2020)

Self-Expressing Autoencoders for Unsupervised Spoken Term Discovery. - Saurabhchand Bhati; Jesús Villalba 001; Piotr Zelasko; Najim Dehak (INTERSPEECH, 2020)

Learning Speaker Embedding from Text-to-Speech. - Jaejin Cho; Piotr Zelasko; Jesús Villalba 001; Shinji Watanabe 001; Najim Dehak (INTERSPEECH, 2020)

That Sounds Familiar: An Analysis of Phonetic Representations Transfer Across Languages. - Piotr Zelasko; Laureano Moro-Velázquez; Mark Hasegawa-Johnson; Odette Scharenborg; Najim Dehak (INTERSPEECH, 2020)

The JHU Multi-Microphone Multi-Speaker ASR System for the CHiME-6 Challenge. - Ashish Arora; Desh Raj; Aswin Shanmugam Subramanian; Ke Li 018; Bar Ben-Yair; Matthew Maciejewski; Piotr Zelasko; Paola García 001; Shinji Watanabe 001; Sanjeev Khudanpur (CoRR, 2020)

Joint Prediction of Truecasing and Punctuation for Conversational Speech in Low-Resource Scenarios. - Raghavendra Pappagari; Piotr Zelasko; Agnieszka Mikolajczyk; Piotr Pezik; Najim Dehak (ASRU, 2021)

Beyond Isolated Utterances: Conversational Emotion Recognition. - Raghavendra Pappagari; Piotr Zelasko; Jesús Villalba 001; Laureano Moro-Velázquez; Najim Dehak (ASRU, 2021)

Focus on the Present: A Regularization Method for the ASR Source-Target Attention Layer. - Nanxin Chen; Piotr Zelasko; Jesús Villalba 001; Najim Dehak (ICASSP, 2021)

Improving Reconstruction Loss Based Speaker Embedding in Unsupervised and Semi-Supervised Scenarios. - Jaejin Cho; Piotr Zelasko; Jesús Villalba 001; Najim Dehak (ICASSP, 2021)

How Phonotactics Affect Multilingual and Zero-Shot ASR Performance. - Siyuan Feng 001; Piotr Zelasko; Laureano Moro-Velázquez; Ali Abavisani; Mark Hasegawa-Johnson; Odette Scharenborg; Najim Dehak (ICASSP, 2021)

CopyPaste: An Augmentation Method for Speech Emotion Recognition. - Raghavendra Pappagari; Jesús Villalba 001; Piotr Zelasko; Laureano Moro-Velázquez; Najim Dehak (ICASSP, 2021)

Segmental Contrastive Predictive Coding for Unsupervised Word Segmentation. - Saurabhchand Bhati; Jesús Villalba 001; Piotr Zelasko; Laureano Moro-Velázquez; Najim Dehak (Interspeech, 2021)

Align-Denoise: Single-Pass Non-Autoregressive Speech Recognition. - Nanxin Chen; Piotr Zelasko; Laureano Moro-Velázquez; Jesús Villalba 001; Najim Dehak (Interspeech, 2021)

Unsupervised Acoustic Unit Discovery by Leveraging a Language-Independent Subword Discriminative Feature Representation. - Siyuan Feng 001; Piotr Zelasko; Laureano Moro-Velázquez; Odette Scharenborg (Interspeech, 2021)

Deep Feature CycleGANs: Speaker Identity Preserving Non-Parallel Microphone-Telephone Domain Adaptation for Speaker Verification. - Saurabh Kataria 001; Jesús Villalba 001; Piotr Zelasko; Laureano Moro-Velázquez; Najim Dehak (Interspeech, 2021)

Automatic Detection and Assessment of Alzheimer Disease Using Speech and Language Technologies in Low-Resource Scenarios. - Raghavendra Pappagari; Jaejin Cho; Sonal Joshi; Laureano Moro-Velázquez; Piotr Zelasko; Jesús Villalba 001; Najim Dehak (Interspeech, 2021)

Earnings-21: A Practical Benchmark for ASR in the Wild. - Miguel Del Rio 001; Natalie Delworth; Ryan Westerman; Michelle Huang; Nishchal Bhandari; Joseph Palakapilly; Quinten McNamara; Joshua Dong; Piotr Zelasko; Miguel Jette (Interspeech, 2021)

Spine2Net: SpineNet with Res2Net and Time-Squeeze-and-Excitation Blocks for Speaker Recognition. - Magdalena Rybicka; Jesús Villalba 001; Piotr Zelasko; Najim Dehak; Konrad Kowalczyk (Interspeech, 2021)

Representation Learning to Classify and Detect Adversarial Attacks Against Speaker and Speech Recognition Systems. - Jesús Villalba 001; Sonal Joshi; Piotr Zelasko; Najim Dehak (Interspeech, 2021)

Adversarial Attacks and Defenses for Speaker Identification Systems. - Sonal Joshi; Jesús Villalba 001; Piotr Zelasko; Laureano Moro-Velázquez; Najim Dehak (CoRR, 2021)

Adversarial Attacks and Defenses for Speech Recognition Systems. - Piotr Zelasko; Sonal Joshi; Yiwen Shao; Jesús Villalba 001; Jan Trmal; Najim Dehak; Sanjeev Khudanpur (CoRR, 2021)

Lhotse: a speech data representation library for the modern deep learning ecosystem. - Piotr Zelasko; Daniel Povey; Jan "Yenda" Trmal; Sanjeev Khudanpur (CoRR, 2021)

Non-Autoregressive Transformer for Speech Recognition. - Nanxin Chen; Shinji Watanabe 001; Jesús Villalba 001; Piotr Zelasko; Najim Dehak (IEEE Signal Process. Lett., 2021)

What Helps Transformers Recognize Conversational Structure? Importance of Context, Punctuation, and Labels in Dialog Act Recognition. - Piotr Zelasko; Raghavendra Pappagari; Najim Dehak (Trans. Assoc. Comput. Linguistics, 2021)

Study of Pre-Processing Defenses Against Adversarial Attacks on State-of-the-Art Speaker Recognition Systems. - Sonal Joshi; Jesús Villalba 001; Piotr Zelasko; Laureano Moro-Velázquez; Najim Dehak (IEEE Trans. Inf. Forensics Secur., 2021)

Non-contrastive self-supervised learning of utterance-level speech representations. - Jaejin Cho; Raghavendra Pappagari; Piotr Zelasko; Laureano Moro-Velázquez; Jesús Villalba 001; Najim Dehak (INTERSPEECH, 2022)

Defense against Adversarial Attacks on Hybrid Speech Recognition System using Adversarial Fine-tuning with Denoiser. - Sonal Joshi; Saurabh Kataria 001; Yiwen Shao; Piotr Zelasko; Jesús Villalba 001; Sanjeev Khudanpur; Najim Dehak (INTERSPEECH, 2022)

Vsameter: Evaluation of a New Open-Source Tool to Measure Vowel Space Area and Related Metrics. - Tianyu Cao 003; Laureano Moro-Velázquez; Piotr Zelasko; Jesús Villalba 001; Najim Dehak (SLT, 2022)

Defense against Adversarial Attacks on Hybrid Speech Recognition using Joint Adversarial Fine-tuning with Denoiser. - Sonal Joshi; Saurabh Kataria 001; Yiwen Shao; Piotr Zelasko; Jesús Villalba 001; Sanjeev Khudanpur; Najim Dehak (CoRR, 2022)

Discovering phonetic inventories with crosslingual automatic speech recognition. - Piotr Zelasko; Siyuan Feng 001; Laureano Moro-Velázquez; Ali Abavisani; Saurabhchand Bhati; Odette Scharenborg; Mark Hasegawa-Johnson; Najim Dehak (Comput. Speech Lang., 2022)

Unsupervised Speech Segmentation and Variable Rate Representation Learning Using Segmental Contrastive Predictive Coding. - Saurabhchand Bhati; Jesús Villalba 001; Piotr Zelasko; Laureano Moro-Velázquez; Najim Dehak (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Why Aren't We NER Yet? Artifacts of ASR Errors in Named Entity Recognition in Spontaneous Speech Transcripts. - Piotr Szymanski; Lukasz Augustyniak; Mikolaj Morzy; Adrian Szymczak; Krzysztof Surdyk; Piotr Zelasko (ACL (1), 2023)

Predicting Multi-Codebook Vector Quantization Indexes for Knowledge Distillation. - Liyong Guo; Xiaoyu Yang 005; Quandong Wang; Yuxiang Kong; Zengwei Yao; Fan Cui; Fangjun Kuang; Wei Kang 006; Long Lin; Mingshuang Luo; Piotr Zelasko; Daniel Povey (ICASSP, 2023)

Fast and Parallel Decoding for Transducer. - Wei Kang 006; Liyong Guo; Fangjun Kuang; Long Lin; Mingshuang Luo; Zengwei Yao; Xiaoyu Yang 005; Piotr Zelasko; Daniel Povey (ICASSP, 2023)

Delay-Penalized Transducer for Low-Latency Streaming ASR. - Wei Kang 006; Zengwei Yao; Fangjun Kuang; Liyong Guo; Xiaoyu Yang 005; Long Lin; Piotr Zelasko; Daniel Povey (ICASSP, 2023)

Less is More: Accurate Speech Recognition & Translation without Web-Scale Data. - Krishna C. Puvvada; Piotr Zelasko; He Huang 012; Oleksii Hrinchuk; Nithin Rao Koluguri; Kunal Dhawan; Somshubra Majumdar; Elena Rastorgueva; Zhehuai Chen; Vitaly Lavrukhin; Jagadeesh Balam; Boris Ginsburg (INTERSPEECH, 2024)

Bestow: Efficient and Streamable Speech Language Model with The Best of Two Worlds in GPT and T5. - Zhehuai Chen; He Huang 012; Oleksii Hrinchuk; Krishna C. Puvvada; Nithin Rao Koluguri; Piotr Zelasko; Jagadeesh Balam; Boris Ginsburg (SLT, 2024)

Large Language Model Based Generative Error Correction: A Challenge and Baselines For Speech Recognition, Speaker Tagging, and Emotion Recognition. - Chao-Han Huck Yang; Taejin Park; Yuan Gong 001; Yuanchao Li; Zhehuai Chen; Yen-Ting Lin; Chen Chen 075; Yuchen Hu; Kunal Dhawan; Piotr Zelasko; Chao Zhang 031; Yun-Nung Chen; et al. (SLT, 2024)

NeKo: Toward Post Recognition Generative Correction Large Language Models with Task-Oriented Experts. - Yen-Ting Lin; Chao-Han Huck Yang; Zhehuai Chen; Piotr Zelasko; Xuesong Yang; Zih-Ching Chen; Krishna C. Puvvada; Szu-Wei Fu; Ke Hu; Jun Wei Chiu; Jagadeesh Balam; Boris Ginsburg; et al. (CoRR, 2024)

Slowness Regularized Contrastive Predictive Coding for Acoustic Unit Discovery. - Saurabhchand Bhati; Jesús Villalba 001; Piotr Zelasko; Laureano Moro-Velázquez; Najim Dehak (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Time-Domain Speech Super-Resolution With GAN Based Modeling for Telephony Speaker Verification. - Saurabh Kataria 001; Jesús Villalba 001; Laureano Moro-Velázquez; Piotr Zelasko; Najim Dehak (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Chain-of-Thought Prompting for Speech Translation. - Ke Hu; Zhehuai Chen; Chao-Han Huck Yang; Piotr Zelasko; Oleksii Hrinchuk; Vitaly Lavrukhin; Jagadeesh Balam; Boris Ginsburg (ICASSP, 2025)

EMMeTT: Efficient Multimodal Machine Translation Training. - Piotr Zelasko; Zhehuai Chen; Mengru Wang; Daniel Galvez; Oleksii Hrinchuk; Shuoyang Ding; Ke Hu; Jagadeesh Balam; Vitaly Lavrukhin; Boris Ginsburg (ICASSP, 2025)

VoiceTextBlender: Augmenting Large Language Models with Speech Capabilities via Single-Stage Joint Speech-Text Supervised Fine-Tuning. - Yifan Peng 003; Krishna C. Puvvada; Zhehuai Chen; Piotr Zelasko; He Huang 012; Kunal Dhawan; Ke Hu; Shinji Watanabe 001; Jagadeesh Balam; Boris Ginsburg (NAACL (Long Papers), 2025)

Training and Inference Efficiency of Encoder-Decoder Speech Models. - Piotr Zelasko; Kunal Dhawan; Daniel Galvez; Krishna C. Puvvada; Ankita Pasad; Nithin Rao Koluguri; Ke Hu; Vitaly Lavrukhin; Jagadeesh Balam; Boris Ginsburg (CoRR, 2025)

Efficient and Direct Duplex Modeling for Speech-to-Speech Language Model. - Ke Hu; Ehsan Hosseini-Asl; Chen Chen 075; Edresson Casanova; Subhankar Ghosh; Piotr Zelasko; Zhehuai Chen; Jason Li; Jagadeesh Balam; Boris Ginsburg (CoRR, 2025)