Context and Speaker Dependency in the Relation of Vowel Formants and Subglottal Resonances - Evidence from Hungarian. - Tekla Etelka Gráczi; Steven M. Lulich; Tamás Gábor Csapó; András Beke (INTERSPEECH, 2011)

Analysing the Correspondence Between Automatic Prosodic Segmentation and Syntactic Structure. - György Szaszák; Katalin Nagy; András Beke (INTERSPEECH, 2011)

Characteristics and spectral features used in automatic prediction of vowel duration in spontaneous speech. - András Beke; Mária Gósy (CogInfoCom, 2012)

Automatic prosodic and syntactic analysis from speech in cognitive infocommunication. - György Szaszák; András Beke (CogInfoCom, 2012)

Unsupervised Clustering of Prosodic Patterns in Spontaneous Speech. - András Beke; György Szaszák (TSD, 2012)

Exploiting Prosody for Syntactic Analysis in Automatic Speech Understanding. - György Szaszák; András Beke (J. Lang. Model., 2012)

Automatic phrase segmentation and clustering in spontaneous speech. - András Beke; György Szaszák; Viola Varadi (CogInfoCom, 2013)

Using phonological phrase segmentation to improve automatic keyword spotting for the highly agglutinating Hungarian language. - György Szaszák; András Beke (INTERSPEECH, 2013)

Boundary Markers in Spontaneous Hungarian Speech. - András Beke; Mária Gósy; Viktória Horváth (LTC, 2013)

Automatic Laughter Detection in Spontaneous Speech Using GMM-SVM Method. - Tilda Neuberger; András Beke (TSD, 2013)

Combining NLP techniques and acoustic analysis for semantic focus detection in speech. - András Beke; György Szaszák (CogInfoCom, 2014)

Development of a Large Spontaneous Speech Database of Agglutinative Hungarian Language. - Tilda Neuberger; Dorottya Gyarmathy; Tekla Etelka Gráczi; Viktória Horváth; Mária Gósy; András Beke (TSD, 2014)

Phonetic analysis and automatic prediction of vowel duration in Hungarian spontaneous speech. - András Beke; Mária Gósy (Intell. Decis. Technol., 2014)

Hidden Markov Model-based approach for nasalized vowels recognition in spontaneous speech. - András Beke; Viktória Horváth (ICPhS, 2015)

Using automatic stress extraction from audio for improved prosody modelling in speech synthesis. - György Szaszák; András Beke; Gábor Olaszy; Bálint Pál Tóth (INTERSPEECH, 2015)

Toward Exploring the Role of Disfluencies from an Acoustic Point of View: A New Aspect of (Dis)continuous Speech Prosody Modelling. - György Szaszák; András Beke (TSD, 2015)

Summarization of Spontaneous Speech using Automatic Speech Recognition and a Speech Prosody based Tokenizer. - György Szaszák; Máté Ákos Tündik; András Beke (KDIR, 2016)

Automatic Summarization of Highly Spontaneous Speech. - András Beke; György Szaszák (SPECOM, 2016)

It Sounds Like You Have a Cold! Testing Voice Features for the Interspeech 2017 Computational Paralinguistics Cold Challenge. - Mark A. Huckvale; András Beke (INTERSPEECH, 2017)

Forensic speaker profiling in a Hungarian speech corpus. - András Beke (CogInfoCom, 2018)

User-centric Evaluation of Automatic Punctuation in ASR Closed Captioning. - Máté Ákos Tündik; György Szaszák; Gábor Gosztolya; András Beke (INTERSPEECH, 2018)

Differentiating Laughter Types via HMM/DNN and Probabilistic Sampling. - Gábor Gosztolya; András Beke; Tilda Neuberger (SPECOM, 2019)

Prediction of Sleepiness Ratings from Voice by Man and Machine. - Mark A. Huckvale; András Beke; Mirei Ikushima (INTERSPEECH, 2020)

Deep Learning Methods in Speaker Recognition: A Review. - Dávid Sztahó; György Szaszák; András Beke (Period. Polytech. Electr. Eng. Comput. Sci., 2021)