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Máté Ákos Tündik
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2020 – today
- 2020
- [b1]Máté Ákos Tündik:
The Functional Expansion of Automatic Speech Recognition Output Based on Novel Prosody- and Text-Based Approaches. Budapest University of Technology and Economics, Hungary, 2020 - [j3]Máté Ákos Tündik, Balázs Tarján, György Szaszák:
A low latency sequential model and its user-focused evaluation for automatic punctuation of ASR closed captions. Comput. Speech Lang. 63: 101076 (2020)
2010 – 2019
- 2019
- [j2]Máté Ákos Tündik, Valér Kaszás, György Szaszák:
On the Effects of Automatic Transcription and Segmentation Errors in Hungarian Spoken Language Processing. Period. Polytech. Electr. Eng. Comput. Sci. 63(4): 254-262 (2019) - [c13]Máté Ákos Tündik, Valér Kaszás, György Szaszák:
Assessing the Semantic Space Bias Caused by ASR Error Propagation and its Effect on Spoken Document Summarization. INTERSPEECH 2019: 1333-1337 - [c12]György Szaszák, Máté Ákos Tündik:
Leveraging a Character, Word and Prosody Triplet for an ASR Error Robust and Agglutination Friendly Punctuation Approach. INTERSPEECH 2019: 2988-2992 - [c11]Gábor Járó, Attila Hilt, Loránd Nagy, Máté Ákos Tündik, József Varga:
Evolution towards Telco-Cloud: Reflections on Dimensioning, Availability and Operability : (Invited Paper). TSP 2019: 1-8 - 2018
- [j1]György Szaszák, Máté Ákos Tündik, Branislav Gerazov:
Prosodic stress detection for fixed stress languages using formal atom decomposition and a statistical hidden Markov hybrid. Speech Commun. 102: 14-26 (2018) - [c10]Máté Ákos Tündik, György Szaszák:
Joint Word- and Character-level Embedding CNN-RNN Models for Punctuation Restoration. CogInfoCom 2018: 135-140 - [c9]Valér Kaszás, Máté Ákos Tündik, György Szaszák:
A semantic space approach for automatic summarization of documents. CogInfoCom 2018: 153-158 - [c8]Máté Ákos Tündik, Attila Hilt, Gergo Bota, Lorand Nagy, Kalle Luukkanen:
Access-independent Cloud-based Real-Time Translation Service for Voice Calls in Mobile Networks. CSNDSP 2018: 1-6 - [c7]Máté Ákos Tündik, György Szaszák, Gábor Gosztolya, András Beke:
User-centric Evaluation of Automatic Punctuation in ASR Closed Captioning. INTERSPEECH 2018: 2628-2632 - 2017
- [c6]Máté Ákos Tündik, Gábor Kiss, David Sztahó, György Szaszák:
Assessment of pathological speech prosody based on automatic stress detection and phrasing approaches. CogInfoCom 2017: 67-72 - [c5]Máté Ákos Tündik, Balázs Tarján, György Szaszák:
Á bilingual comparison of MaxEnt-and RNN-based punctuation restoration in speech transcripts. CogInfoCom 2017: 121-126 - [c4]Máté Ákos Tündik, Balázs Tarján, György Szaszák:
Low Latency MaxEnt- and RNN-Based Word Sequence Models for Punctuation Restoration of Closed Caption Data. SLSP 2017: 155-166 - 2016
- [c3]Máté Ákos Tündik, Branislav Gerazov, Aleksandar Gjoreski, György Szaszák:
Atom decomposition based stress detection and automatic phrasing of speech. CogInfoCom 2016: 25-30 - [c2]György Szaszák, Máté Ákos Tündik, András Beke:
Summarization of Spontaneous Speech using Automatic Speech Recognition and a Speech Prosody based Tokenizer. KDIR 2016: 221-227 - [c1]György Szaszák, Máté Ákos Tündik, Branislav Gerazov, Aleksandar Gjoreski:
Combining Atom Decomposition of the F0 Track and HMM-based Phonological Phrase Modelling for Robust Stress Detection in Speech. SPECOM 2016: 165-173
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