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ORCIDBalázs Tarján
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Journal Articles
- 2020
[j4]Máté Ákos Tündik
, Balázs Tarján, György Szaszák:
A low latency sequential model and its user-focused evaluation for automatic punctuation of ASR closed captions. Comput. Speech Lang. 63: 101076 (2020)- 2014
- [j3]Gellért Sárosi, Balázs Tarján, Tibor Fegyó, Péter Mihajlik:
Automated transcription of conversational Call Center speech - with respect to non-verbal acoustic events. Intell. Decis. Technol. 8(4): 265-275 (2014) - 2010
- [j2]László Tóth, Balázs Tarján, Gellért Sárosi, Péter Mihajlik:
Speech Recognition Experiments with Audiobooks. Acta Cybern. 19(4): 695-713 (2010) - [j1]Péter Mihajlik, Zoltán Tüske, Balázs Tarján, Bottyán Németh, Tibor Fegyó:
Improved Recognition of Spontaneous Hungarian Speech - Morphological and Acoustic Modeling Techniques for a Less Resourced Task. IEEE Trans. Speech Audio Process. 18(6): 1588-1600 (2010)
Conference and Workshop Papers
- 2023
- [c19]Xavier Anguera, Jorge Proença, Kristina Gulordava, Balázs Tarján, Nicholas Parslow, Vladimir Dobrovolskii, Francisco Valente, Raphael Girard:
ELSA Speech Analyzer: English Communication Assessment of Spontaneous Speech. SLaTE 2023: 95-96 - 2022
- [c18]Péter Mihajlik, András Balog, Tekla Etelka Gráczi, Anna Kohári, Balázs Tarján, Katalin Mády:
BEA-Base: A Benchmark for ASR of Spontaneous Hungarian. LREC 2022: 1970-1977 - 2020
- [c17]Balázs Tarján, György Szaszák, Tibor Fegyó, Péter Mihajlik:
Improving Real-time Recognition of Morphologically Rich Speech with Transformer Language Model. CogInfoCom 2020: 491-496 - [c16]Balázs Tarján, György Szaszák, Tibor Fegyó, Péter Mihajlik:
On the Effectiveness of Neural Text Generation Based Data Augmentation for Recognition of Morphologically Rich Speech. TDS 2020: 437-445 - 2019
- [c15]Balázs Tarján, György Szaszák, Tibor Fegyó, Péter Mihajlik:
N-gram Approximation of LSTM Recurrent Language Models for Single-pass Recognition of Hungarian Call Center Conversations. CogInfoCom 2019: 131-136 - [c14]Bálint Döbrössy, Márton Makrai, Balázs Tarján, György Szaszák:
Investigating Sub-Word Embedding Strategies for the Morphologically Rich and Free Phrase-Order Hungarian. RepL4NLP@ACL 2019: 187-193 - [c13]Balázs Tarján, György Szaszák, Tibor Fegyó, Péter Mihajlik:
Investigation on N-Gram Approximated RNNLMs for Recognition of Morphologically Rich Speech. SLSP 2019: 223-234 - 2017
- [c12]Máté Ákos Tündik, Balázs Tarján, György Szaszák:
Á bilingual comparison of MaxEnt-and RNN-based punctuation restoration in speech transcripts. CogInfoCom 2017: 121-126 - [c11]Péter Mihajlik, Lili Szabó, Balázs Tarján, András Balog, Krisztina Rábai:
First Results in Developing a Medieval Latin Language Charter Dictation System for the East-Central Europe Region. INTERSPEECH 2017: 2058-2062 - [c10]Máté Ákos Tündik, Balázs Tarján, György Szaszák:
Low Latency MaxEnt- and RNN-Based Word Sequence Models for Punctuation Restoration of Closed Caption Data. SLSP 2017: 155-166 - 2015
- [c9]Ádam Varga, Balázs Tarján, Zoltán Tobler, György Szaszák, Tibor Fegyó, Csaba Bordás, Péter Mihajlik:
Automatic Close Captioning for Live Hungarian Television Broadcast Speech: A Fast and Resource-Efficient Approach. SPECOM 2015: 105-112 - 2014
- [c8]Lili Szabó, Balázs Tarján, Péter Mihajlik:
Writing with speech: A qualitative user evaluation study. CogInfoCom 2014: 355-360 - [c7]Balázs Tarján, Tibor Fegyó, Péter Mihajlik:
A bilingual study on the prediction of morph-based improvement. SLTU 2014: 131-138 - 2013
- [c6]Balázs Tarján, Gellért Sárosi, Tibor Fegyó, Péter Mihajlik:
Improved recognition of Hungarian call center conversations. SpeD 2013: 1-6 - 2012
- [c5]Balázs Tarján, Tamás Mozsolics, András Balog, D. Halmos, Tibor Fegyó, Péter Mihajlik:
Broadcast news transcription in Central-East European languages. CogInfoCom 2012: 59-64 - [c4]Gellért Sárosi, Balázs Tarján, András Balog, Tamás Mozsolics, Péter Mihajlik, Tibor Fegyó:
On modeling non-word events in Large Vocabulary Continuous Speech Recognition. CogInfoCom 2012: 649-653 - 2010
- [c3]Gellért Sárosi, Tamás Mozsolics, Balázs Tarján, András Balog, Péter Mihajlik, Tibor Fegyó:
Recognition of Multiple Language Voice Navigation Queries in Traffic Situations. COST 2102 Conference 2010: 199-213 - [c2]Balázs Tarján, Péter Mihajlik:
On morph-based LVCSR improvements. SLTU 2010: 10-16 - 2009
- [c1]Péter Mihajlik, Balázs Tarján, Zoltán Tüske, Tibor Fegyó:
Investigation of morph-based speech recognition improvements across speech genres. INTERSPEECH 2009: 2687-2690
Informal and Other Publications
- 2022
- [i4]Péter Mihajlik, András Balog, Tekla Etelka Gráczi, Anna Kohári, Balázs Tarján, Katalin Mády:
BEA-Base: A Benchmark for ASR of Spontaneous Hungarian. CoRR abs/2202.00601 (2022) - 2020
- [i3]Balázs Tarján, György Szaszák, Tibor Fegyó, Péter Mihajlik:
On the Effectiveness of Neural Text Generation based Data Augmentation for Recognition of Morphologically Rich Speech. CoRR abs/2006.05129 (2020) - [i2]Balázs Tarján, György Szaszák, Tibor Fegyó, Péter Mihajlik:
Deep Transformer based Data Augmentation with Subword Units for Morphologically Rich Online ASR. CoRR abs/2007.06949 (2020) - 2019
- [i1]Balázs Tarján, György Szaszák, Tibor Fegyó, Péter Mihajlik:
Investigation on N-gram Approximated RNNLMs for Recognition of Morphologically Rich Speech. CoRR abs/1907.06407 (2019)
Coauthor Index
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