Matúš Pleva

Also published as: Matus Pleva


2023

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Fine-Tuning and Evaluation of Question Generation for Slovak Language
Ondrej Megela | Daniel Hladek | Matus Pleva | Ján Staš | Ming-Hsiang Su | Yuan-Fu Liao
Proceedings of the 35th Conference on Computational Linguistics and Speech Processing (ROCLING 2023)

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A Novel Named Entity Recognition Model Applied to Specialized Sequence Labeling
Ruei-Cyuan Su | Tzu-En Su | Ming-Hsiang Su | Matus Pleva | Daniel Hladek
Proceedings of the 35th Conference on Computational Linguistics and Speech Processing (ROCLING 2023)

2019

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適合漸凍人使用之語音轉換系統初步研究 (Deep Neural-Network Bandwidth Extension and Denoising Voice Conversion System for ALS Patients)
Bai-Hong Huang | Yuan-Fu Liao | Guang-Feng Deng | Matúš Pleva | Daniel Hládek
International Journal of Computational Linguistics & Chinese Language Processing, Volume 24, Number 2, December 2019

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Sequence to Sequence Convolutional Neural Network for Automatic Spelling Correction
Daniel Hládek | Matúš Pleva | Ján Staš | Yuan-Fu Liao
Proceedings of the 31st Conference on Computational Linguistics and Speech Processing (ROCLING 2019)

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基於深度學習之簡答題問答系統初步探討(A Preliminary Study on Deep Learning-based Short Answer Question Answering System)
Yu-Chen Lin | Yuan-Fu Liao | Matúš Pleva | Daniel Hládek
Proceedings of the 31st Conference on Computational Linguistics and Speech Processing (ROCLING 2019)

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基於深度類神經網路之多模式情感偵測初步探討(A Preliminary Study on Deep Learning Neural Networks-based Multi-Model Sentiment Detection)
Tai-Rong Chen | Yuan-Fu Liao | Chen-Ming Pan | Tzu-Hsiu Kuo | Matúš Pleva | Daniel Hládek
Proceedings of the 31st Conference on Computational Linguistics and Speech Processing (ROCLING 2019)

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適合漸凍人使用之語音轉換系統初步研究(Deep Neural-Network Bandwidth Extension and Denoising Voice Conversion System for ALS Patients)
Bai-Hong Huang | Yuan-Fu Liao | Matúš Pleva | Daniel Hládek
Proceedings of the 31st Conference on Computational Linguistics and Speech Processing (ROCLING 2019)

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Building of children speech corpus for improving automatic subtitling services
Matus Pleva | Stanislav Ondas | Daniel Hládek | Jozef Juhar | Ján Staš | Yuan-Fu Liao
Proceedings of the 31st Conference on Computational Linguistics and Speech Processing (ROCLING 2019)

2014

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TUKE-BNews-SK: Slovak Broadcast News Corpus Construction and Evaluation
Matúš Pleva | Jozef Juhár
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

This article presents an overview of the existing acoustical corpuses suitable for broadcast news automatic transcription task in the Slovak language. The TUKE-BNews-SK database created in our department was built to support the application development for automatic broadcast news processing and spontaneous speech recognition of the Slovak language. The audio corpus is composed of 479 Slovak TV broadcast news shows from public Slovak television called STV1 or “Jednotka” containing 265 hours of material and 186 hours of clean transcribed speech (4 hours subset extracted for testing purposes). The recordings were manually transcribed using Transcriber tool modified for Slovak annotators and automatic Slovak spell checking. The corpus design, acquisition, annotation scheme and pronunciation transcription is described together with corpus statistics and tools used. Finally the evaluation procedure using automatic speech recognition is presented on the broadcast news and parliamentary speeches test sets.

2004

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The COST278 Pan-European Broadcast News Database
An Vandecatseye | Jean-Pierre Martens | Joao Neto | Hugo Meinedo | Carmen Garcia-Mateo | Javier Dieguez | France Mihelic | Janez Zibert | Jan Nouza | Petr David | Matus Pleva | Anton Cizmar | Harris Papageorgiou | Christina Alexandris
Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)