SYSTEM FOR CONVERTING SPEECH INTO SYNTHESIS PARAMETERS

我们建议开发一个系统，用于表示语音使用时变 用于语音合成的源滤波器模型的控制参数。我们 在已知的语音环境中使用声学分析技术， 从语音波形中提取KLSYN88合成器参数。 这样的 基于合成的编码将强调有意义的声学语音 语音的特性，使其有可能选择性地修改特定的 生产相关的属性，并允许立即重新合成 原始或修改的波形。 第一阶段有两个目标。 首先，为了确定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 合适的参数值可以使用 在已知语音上下文中操作的声学算法。 如果成功的话，这种技术将被用作演讲， 用于有语言障碍的正常听力受试者的训练辅助设备， 他们听到自己的话语的更正版本。 也是 集成到商业支持的KLSYN88版本中，因此 显著减少产生控制所需的时间量， 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.