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This paper is part of an MSc. report on a program called GENIE (Generator of Inflected English), written in CProlog, that acts as a front end to an existing speech synthesis program. It allows the user to type a sentence in English text, and then processes it so that the synthesiser will output it with natural-sounding inflection; that is, as well as transcribing text to a phonemic form that can be read by the system, it assigns this text an fO contour. The assigning of this stress is described in this paper, and it is asserted that the. | THE SIMULATION OF STRESS PATTERNS IN SYNTHETIC SPEECH - A TWO-LEVEL PROBLEM Timothy J Gillott Department of Artificial Intelligence Hope Park Square University of Edinburgh Edinburgh EH9 2NH Scotland ABSTRACT This paper is part of an MSc. report on a program called GENIE Generator of Inflected English written in CProlog that acts as a front end to an existing speech synthesis program. It allows the user to type a sentence in English text and then processes it so that the synthesiser will output it with natural-sounding inflection that is as well as transcribing text to a phonemic form that can be read by the system it assigns this text an fO contour. The assigning of this stress is described in this paper and it is asserted that the problem can be solved with reference to two main levels the sentential and the syllabic. 0. General The paper is divided into three main sections Firstly Section 1 deals with the problem of stress its various components and their relative importance. It also discusses briefly the two-level nature of the problem. Part II examines the problems that the model must face in dealing with stress assignment and further develops the contention that these problems must be dealt with at the sentential and the syllabic levels. It proposes a phonological solution to the problem of syllabic stress based on the Dependency Phonology framework and suggests a modified function and content word algorithm to deal with sentential stress assignment. Part III deals with the actual algorithms developed to deal with the problems. A fair amount of familiarity with Prolog is assumed but the code itself is not evami ned too deeply. In addition possible improvements are discussed briefly at the end of the paper. As this program is a prototype there will be many such improvements although there are no plans to produce an enhanced model at the present date. It should also be borne in mind that as this paper is primarily a report on a piece of software the linguistic
