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About

http://simple4all.org/about

ALL project is creating speech synthesis technology that learns from data with little or no expert supervision and continually improves itself, simply by being used. Technical University of Cluj-Napoca. The University of Edinburgh. Universidad Politécnica de Madrid (UPM). All is funded by the European Community's Seventh Framework Programme (FP7/2007-2013) under grant agreement n 287678.

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Collaborators

http://simple4all.org/portfolios/collaborators

ALL project is creating speech synthesis technology that learns from data with little or no expert supervision and continually improves itself, simply by being used. Samsung India Software Operations. All is funded by the European Community's Seventh Framework Programme (FP7/2007-2013) under grant agreement n 287678.

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Synthetic Speech Samples

http://simple4all.org/synthetic-speech-samples

ALL project is creating speech synthesis technology that learns from data with little or no expert supervision and continually improves itself, simply by being used. These systems use a conventional text processor as the front-end and HMM-based waveform generation. Indic Languages — IIIT-H corpora. This technique transplants the emotional speaking style from one source speaker, into any other target speakers, preserving the identity of the target speakers. JOA (source speaker, natural speech).

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Publications

http://simple4all.org/publications

ALL project is creating speech synthesis technology that learns from data with little or no expert supervision and continually improves itself, simply by being used. D16 - to be published after final review. D21: Initial synthesis front end description. D22: Description of the final version of the front-end. D31: Automatic parameterization with WLP-based GIF-techniques. D32: Report describing initial version of deep layered models. D34: Report describing the final version of the deep layered models.

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The Consortium

http://simple4all.org/portfolios/consortium

ALL project is creating speech synthesis technology that learns from data with little or no expert supervision and continually improves itself, simply by being used. Technical University of Cluj-Napoca. The University of Edinburgh. Universidad Politécnica de Madrid (UPM). All is funded by the European Community's Seventh Framework Programme (FP7/2007-2013) under grant agreement n 287678.

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Affiliates

http://simple4all.org/portfolios/affiliates

ALL project is creating speech synthesis technology that learns from data with little or no expert supervision and continually improves itself, simply by being used. All is funded by the European Community's Seventh Framework Programme (FP7/2007-2013) under grant agreement n 287678.

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Outputs

http://simple4all.org/outputs

ALL project is creating speech synthesis technology that learns from data with little or no expert supervision and continually improves itself, simply by being used. All technology can be viewed and downloaded here. A corpus of European language audiobooks. A lightly supervised speech segmentation and alignment tool. Language processing (front end) building tools. Translation-based text normalisation tool. Diarisation system, including style-diarisation. Spanish Speaking Styles Corpora.

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