This paper presents a synthesized model updating method using the modal parameters and frequency response functions(FRF) extracted from the vibration test data.
文章提出了一种利用模态参数和由振动试验数据求得的频响函数来进行模型修正的方法。
Of course, the model also contains many things not synthesized in code that provide a wider context; such as use cases, traceability to requirements, and other key product artifacts.
当然，模型还包含了许多没有同步化的代码，这些代码提供了一个广阔的背景；例如用例，对需求的追踪性，以及其他关键的产品工件。
The quality of the synthesized speech by this approach is rather high even though the model precision is low.
即使在模型精度不高的情况下，该方法也能得到合成质量比较好的语音。
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