György Szaszák

发表

Automatic recognition of schwa variants in spontaneous Hungarian speech

András Beke, György Szaszák, György Szaszák, 2010 .

Using prosody to improve automatic speech recognition

György Szaszák, Klára Vicsi, K. Vicsi, 2010, Speech Commun..

Prosodic Cues for Automatic Phrase Boundary Detection in ASR

György Szaszák, Klára Vicsi, 2006, TSD.

Prosodic stress detection for fixed stress languages using formal atom decomposition and a statistical hidden Markov hybrid

György Szaszák, Branislav Gerazov, Máté Ákos Tündik, 2018, Speech Commun..

Analysing the Correspondence Between Automatic Prosodic Segmentation and Syntactic Structure

András Beke, György Szaszák, Katalin Nagy, 2011, INTERSPEECH.

The SP2 SCOPES Project on Speech Prosody

Vlado Delic, Tamás Gábor Csapó, Géza Németh, 2014 .

Automatic intonation classification for speech training systems

György Szaszák, Klára Vicsi, David Sztahó, 2009, INTERSPEECH.

Automatic Summarization of Highly Spontaneous Speech

András Beke, György Szaszák, 2016, SPECOM.

Exploiting Prosody for Automatic Syntactic Phrase Boundary Detection in Speech

András Beke, György Szaszák, 2012 .

Toward Exploring the Role of Disfluencies from an Acoustic Point of View: A New Aspect of (Dis)continuous Speech Prosody Modelling

András Beke, György Szaszák, 2015, TSD.

Automatic Intonation Recognition for the Prosodic Assessment of Language-Impaired Children

Fabien Ringeval, Mohamed Chetouani, György Szaszák, 2011, IEEE Transactions on Audio, Speech, and Language Processing.

The Role and Usage of Supra-segmental Features in Automatic Speech Recognition

György Szaszák, 2008 .

Estimating the Sincerity of Apologies in Speech by DNN Rank Learning and Prosodic Analysis

Gábor Gosztolya, László Tóth, György Szaszák, 2016, INTERSPEECH.

Automatic Segmentation of Continuous Speech on Word Level Based on Supra-segmental Features

György Szaszák, Klára Vicsi, 2005, Int. J. Speech Technol..

Using prosody for the improvement of automatic speech recognition

György Szaszák, Klára Vicsi, 2008 .

Using phonological phrase segmentation to improve automatic keyword spotting for the highly agglutinating Hungarian language

András Beke, György Szaszák, 2013, INTERSPEECH.

Combining Atom Decomposition of the F0 Track and HMM-based Phonological Phrase Modelling for Robust Stress Detection in Speech

György Szaszák, Branislav Gerazov, Máté Ákos Tündik, 2016, SPECOM.

Ensemble Deep Neural Network Based Waveform-Driven Stress Model for Speech Synthesis

Géza Németh, György Szaszák, Bálint Tóth, 2016, SPECOM.

The COST 278 MASPER Initiative - Crosslingual Speech Recognition with Large Telephone Databases

György Szaszák, Klára Vicsi, Jozef Juhár, 2004, LREC.

Summarization of Spontaneous Speech using Automatic Speech Recognition and a Speech Prosody based Tokenizer

András Beke, György Szaszák, Máté Ákos Tündik, 2016, KDIR.

A context-aware speech recognition and understanding system for air traffic control domain

Ajay Srinivasamurthy, Petr Motlícek, Dietrich Klakow, 2017, 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

Speech Recognition Supported by Prosodic Information for Fixed Stress Languages

György Szaszák, Klára Vicsi, 2007, TSD.

Low Latency MaxEnt- and RNN-Based Word Sequence Models for Punctuation Restoration of Closed Caption Data

György Szaszák, Balázs Tarján, Máté Ákos Tündik, 2017, SLSP.

Semi-Supervised Learning with Semantic Knowledge Extraction for Improved Speech Recognition in Air Traffic Control

Ajay Srinivasamurthy, Petr Motlícek, György Szaszák, 2017, INTERSPEECH.

Gépi beszéd természetességének növelése automatikus, beszédjel alapú hangsúlycímkéző algoritmussal

András Beke, György Szaszák, Bálint Tóth, 2016 .

Examination of Pronunciation Variation from Hand-Labelled Corpora

György Szaszák, Klára Vicsi, 2004, TSD.

Speech recognizer for preparing medical reports: Development experiences of a Hungarian speaker independent continuous speech recognizer

György Szaszák, Klára Vicsi, Géza Gordos, 2006 .

User-centric Evaluation of Automatic Punctuation in ASR Closed Captioning

Gábor Gosztolya, András Beke, György Szaszák, 2018, INTERSPEECH.

Exploiting Prosody for Syntactic Analysis in Automatic Speech Understanding

András Beke, György Szaszák, 2012, J. Lang. Model..

Investigation on N-gram Approximated RNNLMs for Recognition of Morphologically Rich Speech

György Szaszák, Tibor Fegyó, Péter Mihajlik, 2019, SLSP.

A Phonological Phrase Sequence Modelling Approach for Resource Efficient and Robust Real-Time Punctuation Recovery

György Szaszák, Anna Moró, György Szaszák, 2017, INTERSPEECH.

Using Prosody in Fixed Stress Languages for Improvement of Speech Recognition

György Szaszák, Klára Vicsi, 2007, COST 2102 Workshop.

Unsupervised Clustering of Prosodic Patterns in Spontaneous Speech

András Beke, György Szaszák, 2012, TSD.

Using automatic stress extraction from audio for improved prosody modelling in speech synthesis

András Beke, György Szaszák, Bálint Tóth, 2015, INTERSPEECH.

Using prosody for the improvement of ASR - sentence modality recognition

György Szaszák, Klára Vicsi, 2008, INTERSPEECH.

Design of a Speech Corpus for Research on Cross-Lingual Prosody Transfer

Zoran A. Ivanovski, Vlado Delic, Milan Secujski, 2016, SPECOM.

Automatic Close Captioning for Live Hungarian Television Broadcast Speech: A Fast and Resource-Efficient Approach

György Szaszák, Tibor Fegyó, Péter Mihajlik, 2015, SPECOM.