SYSTEM FOR CONVERTING SPEECH INTO SYNTHESIS PARAMETERS

我们建议开发一种使用时变来表示语音的系统 用于语音合成的源-滤波器模型的控制参数。我们会 在已知的语音环境中使用声学分析技术来 从语音波形中提取KLSYN88合成器参数。这样的一个 基于合成的编码将强调有意义的声学-语音 语音属性，从而可以有选择地修改特定的 与生产相关的属性，并允许立即重新合成 原始或修改后的波形。 第一阶段有两个目标。首先，确定KLSYN88参数可以在多大程度上 代表特定的自然话语。第二，确定是否 可以使用以下方法从自然语音中提取合适的参数值 在已知语音环境中运行的声学算法。 如果成功，所产生的技术将被用作演讲 为有语言障碍的听力正常的受试者提供的训练辅助设备，允许 让他们听到他们自己话语的更正版本。它也会是 集成到商业支持的KLSYN88版本中，因此 大大减少了生成控件所需的时间 参数。

We propose to develop a system for representing speech using time-varying control parameters for a source-filter model of speech synthesis. We would employ techniques of acoustic analysis in a known phonetic context to extract KLSYN88 synthesizer parameters from speech waveforms. Such a synthesis-based encoding would emphasize meaningful acoustic-phonetic properties of speech, making it possible to selectively modify specific production-related attributes, and allowing immediate resynthesis of the original or modified waveforms. Phase I has two goals. First, to determine how well KLSYN88 parameters can represent specific natural utterances. Second, to determine whether suitable parameter values can be extracted from natural speech using acoustic algorithms operating in known phonetic contexts. If successful the resulting technology would be employed as a speech training aid for normal-hearing subjects with speech impairments, allowing them to hear corrected versions of their own utterances. It would also be integrated into a commercially-supported version of KLSYN88, thus substantially reducing the amount of time required to generate control parameters.