Summary: | 碩士 === 中原大學 === 電機工程研究所 === 93 === ABSTRACT
The objective of this thesis is to study the pitch detection methods of speech signals. Pitch is a very important feature in voiced speech and it is widely used in speech applications. Most of the pitch detection methods are based on fixed-length frames. In 1996, Xiaohu Qian and Ramdas Kumaresan proposed a detection method which was based on variable-length frames. According to the author’s research, the proposed method can overcome some weaknesses of other methods based on fixed-length frames, and can get more accurate results.
In this thesis, we study the Xiaohu Qian and Ramdas Kumaresan method and try to improve their algorithm. We also study the effects of applying single clipping techniques in the algorithm. In our simulations, we used speech samples from MAT-2000 and compare the results of different algorithms. From the simulation results, we see that the proposed method can further improve the performance.
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