@article{MTMT:3088550, title = {Improving HMM Speech Synthesis of Interrogative Sentences by Pitch Track Transformations}, url = {https://m2.mtmt.hu/api/publication/3088550}, author = {Nagy, Péter and Németh, Géza}, doi = {10.1016/j.specom.2016.06.005}, journal-iso = {SPEECH COMMUN}, journal = {SPEECH COMMUNICATION}, volume = {82}, unique-id = {3088550}, issn = {0167-6393}, year = {2016}, eissn = {1872-7182}, pages = {97-112} } @article{MTMT:3120602, title = {DNN-Based Duration Modeling for Synthesizing Short Sentences}, url = {https://m2.mtmt.hu/api/publication/3120602}, author = {Nagy, Péter and Németh, Géza}, doi = {10.1007/978-3-319-43958-7_30}, journal-iso = {LNCS}, journal = {LECTURE NOTES IN COMPUTER SCIENCE}, volume = {9811}, unique-id = {3120602}, issn = {0302-9743}, year = {2016}, eissn = {1611-3349}, pages = {254-261} } @inproceedings{MTMT:2970189, title = {Synthesis of Speaking Styles with Corpus- and HMM-Based Approaches}, url = {https://m2.mtmt.hu/api/publication/2970189}, author = {Nagy, Péter and Zainkó, Csaba and Németh, Géza}, booktitle = {2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)}, doi = {10.1109/CogInfoCom.2015.7390589}, unique-id = {2970189}, abstract = {In this paper we compare two state-of-the-art speech synthesis techniques (corpus- and HMM-based) in terms of expressive speech synthesis. Two corpora were composed with different speaking styles (broadcast news and literature reading) from the same female speaker. Our aim was to determine to what extent the different technologies reproduce these styles. The corpora and the synthetic expressive speech samples were evaluated based on objective measures, and a carefully designed perceptual test was carried out in order to evaluate naturalness, quality and style identification rates of the generated samples. In our objective assessment we focused on prosodic features that principally influence the speaking style: F 0 contour, average values and articulatory speed. Our evaluation of the perceptual test shows that both techniques were able to capture the main features of expressive speech and although listeners preferred the HMM-based voice, the speaking style was recognizable in case of both methods.}, keywords = {Speech synthesis; Hidden Markov model; cognitive infocommunications; synthesis of Hungarian speech; unit-selection; expressive speech synthesis}, year = {2015}, pages = {195-200} } @article{MTMT:2956228, title = {Towards Modeling Interrogative Sentences in HMM-based Speech Synthesis}, url = {https://m2.mtmt.hu/api/publication/2956228}, author = {Gyires-Tóth, Bálint Pál and Nagy, Péter and Németh, Géza}, journal-iso = {PHONET}, journal = {PHONETICIAN}, volume = {109-110}, unique-id = {2956228}, issn = {0741-6164}, year = {2014}, pages = {24-42} } @inproceedings{MTMT:2695927, title = {Adaptation of Large Corpus Average Voice Model in HMM Speech Synthesis for Synthesizing Short Sentences}, url = {https://m2.mtmt.hu/api/publication/2695927}, author = {Nagy, Péter and Gyires-Tóth, Bálint Pál and Németh, Géza}, booktitle = {Proceedings of 2nd International Acoustics and Audio Engineering Conference}, unique-id = {2695927}, year = {2013}, pages = {80-83} } @inproceedings{MTMT:2687110, title = {New Features in the VoxAid Communication Aid for Speech Impaired People}, url = {https://m2.mtmt.hu/api/publication/2687110}, author = {Gyires-Tóth, Bálint Pál and Nagy, Péter and Németh, Géza}, booktitle = {Computers Helping People with Special Needs}, doi = {10.1007/978-3-642-31534-3_45}, unique-id = {2687110}, year = {2012}, pages = {295-302} }