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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Eide, E.M. Fernandez, R. |
| Copyright Year | 2007 |
| Description | Author affiliation: IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA (Eide, E.M.; Fernandez, R.) |
| Abstract | In this paper we explore mining a concatenative text-to-speech database to exploit subtle, naturally-occurring stylistic and contextual variability for runtime synthesis. By making a desired style or context known to the search during synthesis, the cost function can be biased toward finding units which satisfy these additional criteria. Having the ability to bias the output of the synthesizer towards a particular voice quality, or other characteristic such as speaking rate, increases its flexibility and potential value. In this paper we illustrate the approach to synthesizing subtle speech variation by focusing on three aspects: prosodic structure (phrase-finalness), prosodic prominence (prosodic accent), and voice quality (breathiness). Target values for the first two of these are automatically generated, while the target value for breathiness is specified by the user. We present results which indicate the value of distinguishing our data along these dimensions, and discuss possible improvements and new uses in the future. |
| File Size | 5001896 |
| File Format | |
| ISBN | 1424407273 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.2007.367008 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-04-15 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Databases Data mining Speech synthesis Runtime Signal processing Character generation Cost function Synthesizers Speech analysis Memory speech analysis |
| Content Type | Text |
| Resource Type | Article |
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