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- W2045555397 abstract "This is a case study of linguistic optimization of the Speechify text-to-speech (TTS) engine for use in the VocalPoint voice-browser and applications. To browse a website by phone the TTS engine must be able to handle two types of text, static system messages and dynamic content. The static messages include basic browser prompts such as the Default prompt: ‘‘What would you like?’’ or Help messages. In addition, the system must also handle dynamic content from the websites that are being browsed. The criteria of intelligibility, naturalness, and context-sensitivity were used to evaluate all the TTS output. Every static message was tested using a Speechify dialog tool. The TTS quality for dynamic content was evaluated through pronunciation bugs reported whilse browsing websites such as My Yahoo. Our study found that the text normalization module needs to be expanded to cover the vast variety of text on the Web. The study also suggested that three aditional functionalities would improve the caller experience: (1) make it possible to manipulate vowel length through punctuation or tagging; (2) make it possible to change intonation by manipulating pitch and phrase accents and tone breaks; and (3) add another phoneme to the sound inventory to allow flaps." @default.
- W2045555397 created "2016-06-24" @default.
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- W2045555397 date "2001-11-01" @default.
- W2045555397 modified "2023-09-27" @default.
- W2045555397 title "A case study in optimizing TTS for Web content" @default.
- W2045555397 doi "https://doi.org/10.1121/1.4777733" @default.
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