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TUNDRA: a multilingual corpus of found data for TTS research created with light supervision.

, , , , , , and . INTERSPEECH, page 2331-2335. ISCA, (2013)

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TUNDRA: a multilingual corpus of found data for TTS research created with light supervision., , , , , , and . INTERSPEECH, page 2331-2335. ISCA, (2013)Lightly supervised GMM VAD to use audiobook for speech synthesiser., , , , , and . ICASSP, page 7987-7991. IEEE, (2013)A grapheme-based method for automatic alignment of speech and text data., , and . SLT, page 286-290. IEEE, (2012)The Romanian speech synthesis (RSS) corpus: Building a high quality HMM-based speech synthesis system using a high sampling rate., , , and . Speech Communication, 53 (3): 442-450 (2011)Neural net word representations for phrase-break prediction without a part of speech tagger., , , , , , and . ICASSP, page 2599-2603. IEEE, (2014)Unsupervised and lightly-supervised learning for rapid construction of TTS systems in multiple languages from 'found' data: evaluation and analysis., , , , , , and . SSW, page 101-106. ISCA, (2013)RSS-TOBI - A Prosodically Enhanced Romanian Speech Corpus., , , and . LREC, page 316-320. European Language Resources Association (ELRA), (2014)ALISA: An automatic lightly supervised speech segmentation and alignment tool., , , , , , and . Computer Speech & Language, (2016)MaRePhoR - An open access machine-readable phonetic dictionary for Romanian., , , and . SpeD, page 1-6. IEEE, (2017)Input Encoding for Sequence-to-Sequence Learning of Romanian Grapheme-to-Phoneme Conversion.. SpeD, page 1-6. IEEE, (2019)