Investigation of morph-based speech recognition improvements across speech genres. - Péter Mihajlik; Balázs Tarján; Zoltán Tüske; Tibor Fegyó (INTERSPEECH, 2009)

Recognition of Multiple Language Voice Navigation Queries in Traffic Situations. - Gellért Sárosi; Tamás Mozsolics; Balázs Tarján; András Balog; Péter Mihajlik; Tibor Fegyó (COST 2102 Conference, 2010)

On morph-based LVCSR improvements. - Balázs Tarján; Péter Mihajlik (SLTU, 2010)

Speech Recognition Experiments with Audiobooks. - László Tóth 001; Balázs Tarján; Gellért Sárosi; Péter Mihajlik (Acta Cybern., 2010)

Improved Recognition of Spontaneous Hungarian Speech - Morphological and Acoustic Modeling Techniques for a Less Resourced Task. - Péter Mihajlik; Zoltán Tüske; Balázs Tarján; Bottyán Németh; Tibor Fegyó (IEEE Trans. Speech Audio Process., 2010)

On modeling non-word events in Large Vocabulary Continuous Speech Recognition. - Gellért Sárosi; Balázs Tarján; András Balog; Tamás Mozsolics; Péter Mihajlik; Tibor Fegyó (CogInfoCom, 2012)

Broadcast news transcription in Central-East European languages. - Balázs Tarján; Tamás Mozsolics; András Balog; D. Halmos; Tibor Fegyó; Péter Mihajlik (CogInfoCom, 2012)

Improved recognition of Hungarian call center conversations. - Balázs Tarján; Gellért Sárosi; Tibor Fegyó; Péter Mihajlik (SpeD, 2013)

Writing with speech: A qualitative user evaluation study. - Lili Szabó; Balázs Tarján; Péter Mihajlik (CogInfoCom, 2014)

A bilingual study on the prediction of morph-based improvement. - Balázs Tarján; Tibor Fegyó; Péter Mihajlik (SLTU, 2014)

Automated transcription of conversational Call Center speech - with respect to non-verbal acoustic events. - Gellért Sárosi; Balázs Tarján; Tibor Fegyó; Péter Mihajlik (Intell. Decis. Technol., 2014)

Automatic Close Captioning for Live Hungarian Television Broadcast Speech: A Fast and Resource-Efficient Approach. - Ádam Varga; Balázs Tarján; Zoltán Tobler; György Szaszák; Tibor Fegyó; Csaba Bordás; Péter Mihajlik (SPECOM, 2015)

Á bilingual comparison of MaxEnt-and RNN-based punctuation restoration in speech transcripts. - Máté Ákos Tündik; Balázs Tarján; György Szaszák (CogInfoCom, 2017)

First Results in Developing a Medieval Latin Language Charter Dictation System for the East-Central Europe Region. - Péter Mihajlik; Lili Szabó; Balázs Tarján; András Balog; Krisztina Rábai (INTERSPEECH, 2017)

Low Latency MaxEnt- and RNN-Based Word Sequence Models for Punctuation Restoration of Closed Caption Data. - Máté Ákos Tündik; Balázs Tarján; György Szaszák (SLSP, 2017)

N-gram Approximation of LSTM Recurrent Language Models for Single-pass Recognition of Hungarian Call Center Conversations. - Balázs Tarján; György Szaszák; Tibor Fegyó; Péter Mihajlik (CogInfoCom, 2019)

Investigating Sub-Word Embedding Strategies for the Morphologically Rich and Free Phrase-Order Hungarian. - Bálint Döbrössy; Márton Makrai; Balázs Tarján; György Szaszák (RepL4NLP@ACL, 2019)

Investigation on N-Gram Approximated RNNLMs for Recognition of Morphologically Rich Speech. - Balázs Tarján; György Szaszák; Tibor Fegyó; Péter Mihajlik (SLSP, 2019)

Improving Real-time Recognition of Morphologically Rich Speech with Transformer Language Model. - Balázs Tarján; György Szaszák; Tibor Fegyó; Péter Mihajlik (CogInfoCom, 2020)

On the Effectiveness of Neural Text Generation Based Data Augmentation for Recognition of Morphologically Rich Speech. - Balázs Tarján; György Szaszák; Tibor Fegyó; Péter Mihajlik (TDS, 2020)

Deep Transformer based Data Augmentation with Subword Units for Morphologically Rich Online ASR. - Balázs Tarján; György Szaszák; Tibor Fegyó; Péter Mihajlik (CoRR, 2020)

A low latency sequential model and its user-focused evaluation for automatic punctuation of ASR closed captions. - Máté Ákos Tündik; Balázs Tarján; György Szaszák (Comput. Speech Lang., 2020)

BEA-Base: A Benchmark for ASR of Spontaneous Hungarian. - Péter Mihajlik; András Balog; Tekla Etelka Gráczi; Anna Kohári; Balázs Tarján; Katalin Mády (LREC, 2022)

ELSA Speech Analyzer: English Communication Assessment of Spontaneous Speech. - Xavier Anguera; Jorge Proença; Kristina Gulordava; Balázs Tarján; Nicholas Parslow; Vladimir Dobrovolskii; Francisco Valente; Raphael Girard (SLaTE, 2023)