Corpus-based Speech Synthesis for Any Voice: Difference between revisions
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[[Image:FamousPeople.gif|right]] | [[Image:FamousPeople.gif|right]] | ||
Have you ever thought of having a famous person talking to you at your PC? | '''Have you ever thought of having a famous person talking to you at your PC?''' | ||
Corpus-based speech synthesis is suitable for this purpose, since it uses large amounts of recorded speech from a single speaker. While highly natural synthetic signals are mostly produced when the user-supplied texts give rise to utterances that are very similar to the recorded ones, appropriate choses of context-defining features can make it possible to render equally natural signals even in completely "out-of-domain" sentences. Besides, the availability of large multi-media repositories (movies, broadcast news, etc...) allows us to get the large single speaker speech databases needed to build such TTS voices. | Corpus-based speech synthesis is suitable for this purpose, since it uses large amounts of recorded speech from a single speaker. While highly natural synthetic signals are mostly produced when the user-supplied texts give rise to utterances that are very similar to the recorded ones, appropriate choses of context-defining features can make it possible to render equally natural signals even in completely "out-of-domain" sentences. Besides, the availability of large multi-media repositories (movies, broadcast news, etc...) allows us to get the large single speaker speech databases needed to build such TTS voices. | ||
Revision as of 21:22, 5 July 2007
Have you ever thought of having a famous person talking to you at your PC?
Corpus-based speech synthesis is suitable for this purpose, since it uses large amounts of recorded speech from a single speaker. While highly natural synthetic signals are mostly produced when the user-supplied texts give rise to utterances that are very similar to the recorded ones, appropriate choses of context-defining features can make it possible to render equally natural signals even in completely "out-of-domain" sentences. Besides, the availability of large multi-media repositories (movies, broadcast news, etc...) allows us to get the large single speaker speech databases needed to build such TTS voices.
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