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      Love and Sex with Robots: Third International Conference, LSR 2017, London, UK, December 19-20, 2017, Revised Selected Papers 

      SSML for Sex Robots

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      Springer International Publishing

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          Review of text‐to‐speech conversion for English

          The automatic conversion of English text to synthetic speech is presently being performed, remarkably well, by a number of laboratory systems and commercial devices. Progress in this area has been made possible by advances in linguistic theory, acoustic-phonetic characterization of English sound patterns, perceptual psychology, mathematical modeling of speech production, structured programming, and computer hardware design. This review traces the early work on the development of speech synthesizers, discovery of minimal acoustic cues for phonetic contrasts, evolution of phonemic rule programs, incorporation of prosodic rules, and formulation of techniques for text analysis. Examples of rules are used liberally to illustrate the state of the art. Many of the examples are taken from Klattalk, a text-to-speech system developed by the author. A number of scientific problems are identified that prevent current systems from achieving the goal of completely human-sounding speech. While the emphasis is on rule programs that drive a format synthesizer, alternatives such as articulatory synthesis and waveform concatenation are also reviewed. An extensive bibliography has been assembled to show both the breadth of synthesis activity and the wealth of phenomena covered by rules in the best of these programs. A recording of selected examples of the historical development of synthetic speech, enclosed as a 33 1/3-rpm record, is described in the Appendix.
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            Robots, Love, and Sex: The Ethics of Building a Love Machine

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              Are we ready for sex robots?

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                Author and book information

                Book Chapter
                2018
                February 25 2018
                : 1-11
                10.1007/978-3-319-76369-9_1
                13e3469d-e1bc-4ea7-a7f5-cc5d2f072066
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