| Improved Recognition of Spontaneous Hungarian Speech—Morphological and Acoustic Modeling Techniques for a Less Resourced Task P Mihajlik, Z Tüske, B Tarján, B Németh, T Fegyó Audio, Speech, and Language Processing, IEEE Transactions on 18 (6), 1588-1600, 2010 | 64 | 2010 |
| Automatic close captioning for live hungarian television broadcast speech: A fast and resource-efficient approach Á Varga, B Tarján, Z Tobler, G Szaszák, T Fegyó, C Bordás, P Mihajlik Speech and Computer: 17th International Conference, SPECOM 2015, Athens …, 2015 | 24 | 2015 |
| On morph-based LVCSR improvements B Tarján, P Mihajlik Proc. of the 2nd Int. Workshop on Spoken Language Technologies for Under …, 2010 | 23 | 2010 |
| Evaluation of lexical models for Hungarian Broadcast speech transcription and spoken term detection B Tarján, P Mihajlik, A Balog, T Fegyó 2nd IEEE International Conference on Cognitive Infocommunications …, 2011 | 21 | 2011 |
| Speech recognition experiments with audiobooks L Tóth, B Tarján, G Sárosi, P Mihajlik Acta Cybernetica 19 (4), 695-713, 2010 | 14 | 2010 |
| A Bilingual Study on the Prediction of Morph-Based Improvement B Tarján, T Fegyό, P Mihajlik Spoken Language Technologies for Under-Resourced Languages, 131-138, 2014 | 11 | 2014 |
| Improved recognition of Hungarian call center conversations B Tarján, G Sárosi, T Fegyó, P Mihajlik Speech Technology and Human-Computer Dialogue (SpeD), 2013 7th Conference on …, 2013 | 11 | 2013 |
| Broadcast news transcription in Central-East European languages B Tarján, T Mozsolics, A Balog, D Halmos, T Fegyó, P Mihajlik 3rd International Conference on Cognitive Infocommunications (CogInfoCom), 59-64, 2012 | 11 | 2012 |
| BEA-Base: A Benchmark for ASR of Spontaneous Hungarian P Mihajlik, A Balog, TE Gráczi, A Kohári, B Tarján, K Mády Proceedings of the 13th Conference on Language Resources and Evaluation …, 2022 | 10 | 2022 |
| Investigating sub-word embedding strategies for the morphologically rich and free phrase-order Hungarian B Döbrössy, M Makrai, B Tarján, G Szaszák 4th Workshop on Representation Learning for NLP, 187-193, 2019 | 10 | 2019 |
| On modeling non-word events in Large Vocabulary Continuous Speech Recognition G Sárosi, B Tarján, A Balog, T Mozsolics, P Mihajlik, T Fegyó 3rd IEEE International Conference on Cognitive Infocommunications …, 2012 | 10 | 2012 |
| Investigation on N-gram approximated RNNLMs for recognition of morphologically rich speech B Tarján, G Szaszák, T Fegyó, P Mihajlik Statistical Language and Speech Processing: 7th International Conference …, 2019 | 8 | 2019 |
| A Bilingual Comparison of MaxEnt-and RNN-based Punctuation Restoration in Speech Transcripts MÁ Tündik, B Tarján, G Szaszák 8th IEEE International Conference on Cognitive Infocommunications …, 2017 | 8 | 2017 |
| Magyar nyelvű, élő közéleti- és hírműsorok gépi feliratozása B Tarján, Á Varga, Z Tobler, G Szaszák, T Fegyó, C Bordás, P Mihajlik XII. Magyar Számítógépes Nyelvészeti Konferencia, 89-99, 2016 | 8* | 2016 |
| Low Latency MaxEnt-and RNN-Based Word Sequence Models for Punctuation Restoration of Closed Caption Data MÁ Tündik, B Tarján, G Szaszák Statistical Language and Speech Processing: 5th International Conference …, 2017 | 7 | 2017 |
| Automated transcription of conversational Call Center speech–with respect to non-verbal acoustic events G Sárosi, B Tarján, T Fegyó, P Mihajlik Intelligent Decision Technologies 8 (4), 265-275, 2014 | 6 | 2014 |
| Investigation of Morph-based Speech Recognition Improvements across Speech Genres P Mihajlik, B Tarján, Z Tüske, T Fegyó Tenth Annual Conference of the International Speech Communication Association, 2009 | 6 | 2009 |
| Writing with Speech: A Qualitative User Evaluation Study L Szabó, B Tarján, P Mihajlik 5th IEEE Conference on Cognitive Infocommunications (CogInfoCom), 355 - 360, 2014 | 5 | 2014 |
| Deep Transformer based Data Augmentation with Subword Units for Morphologically Rich Online ASR B Tarján, G Szaszák, T Fegyó, P Mihajlik arXiv preprint arXiv:2007.06949, 2020 | 3 | 2020 |
| A Low Latency Sequential Model and its User-Focused Evaluation for Automatic Punctuation of ASR Closed Captions MÁ Tündik, B Tarján, G Szaszák Computer Speech & Language 63, 101076, 2020 | 3 | 2020 |
Péter MihajlikBudapest University of Technology and Economics在 tmit.bme.hu 的电子邮件经过验证
