CUSTOMIZED SYNTHETIC VOICES FOR SPEECH-IMPAIRED PERSONS

严重言语障碍的人需要通信设备， 提供听起来自然的合成声音， 性别、年龄、国籍和方言。 这种声音的产生 由于缺乏灵活性，开发成本高， 用于文本到语音合成的软件工具和适当的语言模型。 Eloquent Technology，Inc. (ETI)提出了一种新的模块化方法， 基于语音合成，旨在降低开发成本的高， 高质量的合成声音 这种方法的关键工具是ETI的Delta 系统，一种编程语言和交互式开发环境， 开发文字转语音算法 在模块化方法中， 程序模块（基本模块）构建话语的一部分 在给定语言中所有声音的共同表示;较小， 独立的语音模块产生语音之间的变化。 的 我们的合成规则将基于的语言模型使用Delta的 用于表示话语的创新的多流数据结构。 在 第一阶段，我们将通过以下方式测试模块化方法的可行性 为英语实现一个基本模块，为两个美国语音模块， 方言

Severely speech-impaired individuals need communication devices that provide natural-sounding synthetic voices that are appropriate in terms of sex, age, nationality, and dialect. The creation of such voices has been hampered by high development costs resulting from a lack of flexible software tools and adequate linguistic models for text-to-speech synthesis. Eloquent Technology, Inc. (ETI) proposes a novel modular approach to rule- based speech synthesis intended to reduce development costs for high- quality synthetic voices. The key tool in this approach is ETI's Delta System, a programming language and interactive development environment for developing text-to-speech algorithms. In the modular approach, a single program module (the base module) builds the part of an utterance representation common to all voices in a given language; smaller, independent voice modules produce the variations among the voices. The linguistic model on which our synthesis rules will be based uses Delta's innovative multistream data structure for representing utterances. In Phase I, we will test the feasibility of the modular approach by implementing a base module for English, and voice modules for two American dialects.