György Szaszák

About György Szaszák

György Szaszák, With an exceptional h-index of 15 and a recent h-index of 10 (since 2020), a distinguished researcher at Budapesti Muszaki és Gazdaságtudományi Egyetem, specializes in the field of AI, statistical modelling, machine / deep learning, speech recognition, cognitive infocommunication.

His recent articles reflect a diverse array of research interests and contributions to the field:

Automatic Assessment Of Spoken English Proficiency Based on Multimodal and Multitask Transformers

Adaptation Strategies for Human-Machine Interactions in Dialect Specific Environment

Towards abstractive summarization in Hungarian

Comparing formant extraction methods according to speaking style and added noise in Forensic Voice Comparison

On the effectiveness of neural text generation based data augmentation for recognition of morphologically rich speech

Using ASR posterior probability and acoustic features for voice disorder classification

A low latency sequential model and its user-focused evaluation for automatic punctuation of ASR closed captions

Deep transformer based data augmentation with subword units for morphologically rich online ASR

György Szaszák Information

University

Position

___

Citations(all)

808

Citations(since 2020)

429

Cited By

523

hIndex(all)

15

hIndex(since 2020)

10

i10Index(all)

23

i10Index(since 2020)

14

Email

University Profile Page

Google Scholar

György Szaszák Skills & Research Interests

AI

statistical modelling

machine / deep learning

speech recognition

cognitive infocommunication

Top articles of György Szaszák

Title

Journal

Author(s)

Publication Date

Automatic Assessment Of Spoken English Proficiency Based on Multimodal and Multitask Transformers

Kamel Nebhi

György Szaszák

2023/9

Adaptation Strategies for Human-Machine Interactions in Dialect Specific Environment

Acta Polytechnica Hungarica

György Szaszák

Piero Pierucci

2022/1/1

Towards abstractive summarization in Hungarian

Márton Makrai

Ákos Máté Tündik

Balázs Indig

György Szaszák

2022

Comparing formant extraction methods according to speaking style and added noise in Forensic Voice Comparison

Beszédtudomány-Speech Science

Dávid Sztahó

Attila Fejes

György Szaszák

2022

On the effectiveness of neural text generation based data augmentation for recognition of morphologically rich speech

Balázs Tarján

György Szaszák

Tibor Fegyó

Péter Mihajlik

2020

Using ASR posterior probability and acoustic features for voice disorder classification

Miklós Gábriel Tulics

György Szaszák

Krisztina Mészáros

Klára Vicsi

2020/9/23

A low latency sequential model and its user-focused evaluation for automatic punctuation of ASR closed captions

Computer Speech & Language

Máté Ákos Tündik

Balázs Tarján

György Szaszák

2020/9/1

Deep transformer based data augmentation with subword units for morphologically rich online ASR

arXiv preprint arXiv:2007.06949

Balázs Tarján

György Szaszák

Tibor Fegyó

Péter Mihajlik

2020/7/14

See List of Professors in György Szaszák University(Budapesti Muszaki és Gazdaságtudományi Egyetem)