| The Romanian speech synthesis (RSS) corpus: Building a high quality HMM-based speech synthesis system using a high sampling rate A Stan, J Yamagishi, S King, M Aylett Speech Communication 53 (3), 442-450, 2011 | 81 | 2011 |
| TUNDRA: a multilingual corpus of found data for TTS research created with light supervision. A Stan, O Watts, Y Mamiya, M Giurgiu, RAJ Clark, J Yamagishi, S King INTERSPEECH, 2331-2335, 2013 | 47 | 2013 |
| A grapheme-based method for automatic alignment of speech and text data A Stan, P Bell, S King 2012 IEEE Spoken Language Technology Workshop (SLT), 286-290, 2012 | 46 | 2012 |
| ALISA: An automatic lightly supervised speech segmentation and alignment tool A Stan, Y Mamiya, J Yamagishi, P Bell, O Watts, RAJ Clark, S King Computer Speech & Language 35, 116-133, 2016 | 37 | 2016 |
| Unsupervised and lightly-supervised learning for rapid construction of TTS systems in multiple languages from ‘found’data: evaluation and analysis O Watts, A Stan, R Clark, Y Mamiya, M Giurgiu, J Yamagishi, S King Proc. of 8th ISCA Workshop on Speech Synthesis, 2013 | 35 | 2013 |
| Lightly supervised GMM VAD to use audiobook for speech synthesiser Y Mamiya, J Yamagishi, O Watts, RAJ Clark, S King, A Stan 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 23 | 2013 |
| The SWARA speech corpus: A large parallel Romanian read speech dataset A Stan, F Dinescu, C Ţiple, Ş Meza, B Orza, M Chirilă, M Giurgiu 2017 International Conference on Speech Technology and Human-Computer …, 2017 | 20 | 2017 |
| Neural net word representations for phrase-break prediction without a part of speech tagger O Watts, S Gangireddy, J Yamagishi, S King, S Renals, A Stan, M Giurgiu 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 19 | 2014 |
| Lightly supervised discriminative training of grapheme models for improved sentence-level alignment of speech and text data. A Stan, P Bell, J Yamagishi, S King INTERSPEECH, 1525-1529, 2013 | 13 | 2013 |
| Blind speech segmentation using spectrogram image-based features and Mel cepstral coefficients A Stan, C Valentini-Botinhao, B Orza, M Giurgiu 2016 IEEE Spoken Language Technology Workshop (SLT), 597-602, 2016 | 12 | 2016 |
| An evaluation of word-level confidence estimation for end-to-end automatic speech recognition D Oneaţă, A Caranica, A Stan, H Cucu 2021 IEEE Spoken Language Technology Workshop (SLT), 258-265, 2021 | 10 | 2021 |
| Deep Learning for Automatic Diacritics Restoration in Romanian M Nuţu, B Lőrincz, A Stan 2019 IEEE 15th International Conference on Intelligent Computer …, 2019 | 10 | 2019 |
| RSS-TOBI-A Prosodically Enhanced Romanian Speech Corpus T Boroș, A Stan, O Watts, SD Dumitrescu Language Resources and Evaluation Conference, 2014 | 9 | 2014 |
| A superpositional model applied to F0 parameterization using DCT for text-to-speech synthesis A Stan, M Giurgiu Speech technology and human-computer dialogue (sped), 2011 6th conference on …, 2011 | 9 | 2011 |
| Romanian language statistics and resources for text-to-speech systems A Stan, M Giurgiu 2010 9th International Symposium on Electronics and Telecommunications, 381-384, 2010 | 9 | 2010 |
| MaRePhoR—An open access machine-readable phonetic dictionary for Romanian ŞA Toma, A Stan, ML Pura, T Bârsan 2017 International Conference on Speech Technology and Human-Computer …, 2017 | 8 | 2017 |
| Voice-related quality of life results in laryngectomies with today's speech options and expectations from the next generation of vocal assistive technologies C Tiple, S Matu, FV Dinescu, R Muresan, R Soflau, T Drugan, M Giurgiu, ... 2015 E-Health and Bioengineering Conference (EHB), 1-4, 2015 | 8 | 2015 |
| Liro: Benchmark and leaderboard for Romanian language tasks SD Dumitrescu, P Rebeja, B Lorincz, M Gaman, A Avram, M Ilie, ... Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021 | 6 | 2021 |
| Input Encoding for Sequence-to-Sequence Learning of Romanian Grapheme-to-Phoneme Conversion S Adriana 2019 International Conference on Speech Technology and Human-Computer …, 2019 | 5 | 2019 |
| A Comparison Between Traditional Machine Learning Approaches And Deep Neural Networks For Text Processing In Romanian A Stan, M Giurgiu Proceedings of the 13th International Conference on Linguistic Resources and …, 2018 | 5 | 2018 |
Mircea GiurgiuTechnical University of Cluj-NapocaVerified email at com.utcluj.ro
