György Szaszák
Cited by
Cited by
Automatic intonation recognition for the prosodic assessment of language-impaired children
F Ringeval, J Demouy, G Szaszak, M Chetouani, L Robel, J Xavier, ...
IEEE Transactions on Audio, Speech, and Language Processing 19 (5), 1328-1342, 2010
Using prosody to improve automatic speech recognition
K Vicsi, G Szaszák
Speech Communication 52 (5), 413-426, 2010
The COST 278 MASPER Initiative-Crosslingual Speech Recognition with Large Telephone Databases.
A Zgank, Z Kacic, F Diehl, K Vicsi, G Szaszák, J Juhár, S Lihan
LREC-2004, 2107-2110, 2004
Automatic segmentation of continuous speech on word level based on supra-segmental features
K Vicsi, G Szaszák
International Journal of Speech Technology 8 (4), 363-370, 2005
Exploiting prosody for automatic syntactic phrase boundary detection in speech
G Szaszák, A Beke
Journal of Language Modelling, 2012
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
International Conference on Speech and Computer, 105-112, 2015
Crosslingual transfer of source acoustic models to two different target languages
A Zgank, Z Kacic, K Vicsi, G Szaszak, F Diehl, J Juhar, S Lihan
COST278 and ISCA Tutorial and Research Workshop (ITRW) on Robustness Issues …, 2004
Semi-supervised learning with semantic knowledge extraction for improved speech recognition in air traffic control
A Srinivasamurthy, P Motlicek, I Himawan, G Szaszak, Y Oualil, H Helmke
Proceedings of Interspeech 2017, 2017
Using prosody for the improvement of ASR-sentence modality recognition.
K Vicsi, G Szaszák
INTERSPEECH, 2877-2880, 2008
A Phonological Phrase Sequence Modelling Approach for Resource Efficient and Robust Real-Time Punctuation Recovery.
A Moró, G Szaszák
INTERSPEECH, 558-562, 2017
Estimating the Sincerity of Apologies in Speech by DNN Rank Learning and Prosodic Analysis
G Gosztolya, T Grósz, G Szaszák, L Tóth
INTERSPEECH, 2026-2030, 2016
Unsupervised clustering of prosodic patterns in spontaneous speech
A Beke, G Szaszák
International Conference on Text, Speech and Dialogue, 648-655, 2012
Using prosody in fixed stress languages for improvement of speech recognition
G Szaszák, K Vicsi
Verbal and Nonverbal Communication Behaviours, 138-149, 2007
Combining NLP techniques and acoustic analysis for semantic focus detection in speech
A Beke, G Szaszák
2014 5th IEEE Conference on Cognitive Infocommunications (CogInfoCom), 493-497, 2014
A context-aware speech recognition and understanding system for air traffic control domain
Y Oualil, D Klakow, G Szaszák, A Srinivasamurthy, H Helmke, P Motlicek
2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2017
Exploiting prosody for syntactic analysis in automatic speech understanding
G Szaszák, A Beke
Journal of language modelling, 143-172, 2012
Analysing the correspondence between automatic prosodic segmentation and syntactic structure
G Szaszák, K Nagy, A Beke
Twelfth Annual Conference of the International Speech Communication Association, 2011
Joint word-and character-level embedding CNN-RNN models for punctuation restoration
MÁ Tündik, G Szaszák
2018 9th IEEE International Conference on Cognitive Infocommunications …, 2018
Speech recognition supported by prosodic information for fixed stress languages
G Szaszák, K Vicsi
International Conference on Text, Speech and Dialogue, 262-269, 2007
Low Latency MaxEnt-and RNN-Based Word Sequence Models for Punctuation Restoration of Closed Caption Data
MÁ Tündik, B Tarján, G Szaszák
International Conference on Statistical Language and Speech Processing, 155-166, 2017
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