%Aigaion2 BibTeX export from Idiap Publications
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@TECHREPORT{Saheer_Idiap-RR-31-2015,
                      author = {Saheer, Lakshmi and Na, Xingyu and Cernak, Milos},
                    projects = {Idiap, DBOX},
                       month = {10},
                       title = {Syllabic Pitch Tuning for Neutral-to-Emotional Voice Conversion},
                        type = {Idiap-RR},
                      number = {Idiap-RR-31-2015},
                        year = {2015},
                 institution = {Idiap},
                    abstract = {Prosody plays an important role in both identification and synthesis of emotionalized speech. Prosodic features like pitch are usually estimated and altered at a segmental level based on short windows of speech (where the signal is expected to be quasi-stationary). This results in a frame-wise change of acoustical parameters for synthesizing emotionalized speech. In order to convert a neutral speech to an emotional speech from the same user, it might be better to alter the pitch parameters at the  suprasegmental level like at the syllable-level since the changes in the signal are more subtle and smooth. In this paper we aim to show that the pitch transformation in a neutral-to-emotional voice
conversion system may result in a better speech quality output if the transformations are performed at the supra-segmental (syllable) level rather than a frame-level change. Subjective evaluation results are shown to demonstrate if the naturalness, speaker similarity and the emotion recognition tasks show any performance difference.},
                         pdf = {https://publications.idiap.ch/attachments/reports/2015/Saheer_Idiap-RR-31-2015.pdf}
}