(Enter summary)
Abstract: In this study we introduce combined data driven and rule
based methods to synthesise speech. The aim is to
improve on the coarticulatory modelling by adapting the
KTH TTS system to data from one speaker. Regression
trees are trained on a manually corrected speech database
to provide predictions for vowel formant frequencies. At
runtime, the TTS system produces formant frequency
trajectories that are derived from weighted contributions
from both the rules and the regression trees. The
weighting... (Update)
Context of citations to this paper: More
.... measuring speech naturalness is to ask the subjects for an indication whether one utterance was better, equal, or worse than another [2, 4]. Even though this relative scale reliably indicates differences, it fails to show magnitude of improvement. In this work we implement a...
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BibTeX entry: (Update)
Hogberg, J. 1997, Data driven formant synthesis. Proceedings EuroSpeech. Rhodes, Greece. 565-568. http://citeseer.ist.psu.edu/hogberg97data.html More
@inproceedings{ hogberg97data,
author = "Jesper Hogberg",
title = "Data Driven Formant Synthesis",
booktitle = "Proc. Eurospeech '97",
address = "Rhodes, Greece",
pages = "565--568",
year = "1997",
url = "citeseer.ist.psu.edu/hogberg97data.html" }
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