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Abstract
Grapheme-based models have been proposed for both ASR and TTS as a way of circumventing the lack of expert-compiled pronunciation lexicons in under-resourced languages. It is a common observation that this should work well in languages employing orthographies with a transparent letter-to-phoneme relationship,such as Spanish. Our experience has shown, however,that there is still a significant difference in intelligibility between grapheme-based systems and conventional ones for this language. This paper explores the contribution of different levels of linguistic annotation to system intelligibility, and the trade-off between those levels and the quantity of data used for training. Ten systems spaced across these two continua of knowledge and data were subjectively evaluated for intelligibility.
Original language | English |
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Title of host publication | INTERSPEECH 2015, 16th Annual Conference of the International Speech Communication Association, Dresden, Germany, September 6-10, 2015 |
Pages | 3335-3339 |
Number of pages | 5 |
Publication status | Published - 2015 |
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Dive into the research topics of 'Knowledge versus data in TTS: evaluation of a continuum of synthesis systems'. Together they form a unique fingerprint.Projects
- 1 Finished
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Simple4All: Speech synthesis that improves through adaptive learning
1/11/11 → 31/10/14
Project: Research
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